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 # Ubuntu 20.04
 FROM ubuntu:focal
 # 切换默认shell为bash
 SHELL ["/bin/bash", "-c"]
 ADD ./ /asrt_server
 WORKDIR /asrt_server
 # 最小化源，缩短apt update时间(ca-certificates必须先安装才支持换tsinghua源)
 RUN echo 'deb http://archive.ubuntu.com/ubuntu/ focal main restricted' > /etc/apt/sources.list
 RUN apt update && apt install -y ca-certificates
 RUN echo $'\
 deb http://mirrors.aliyun.com/ubuntu/ focal main restricted universe multiverse\
 \n# deb-src http://mirrors.aliyun.com/ubuntu/ focal main restricted universe multiverse\n\
 deb http://mirrors.aliyun.com/ubuntu/ focal-security main restricted universe multiverse\
 \n# deb-src http://mirrors.aliyun.com/ubuntu/ focal-security main restricted universe multiverse\n\
 deb http://mirrors.aliyun.com/ubuntu/ focal-updates main restricted universe multiverse\
 \n# deb-src http://mirrors.aliyun.com/ubuntu/ focal-updates main restricted universe multiverse\n\
 deb http://mirrors.aliyun.com/ubuntu/ focal-proposed main restricted universe multiverse\
 \n# deb-src http://mirrors.aliyun.com/ubuntu/ focal-proposed main restricted universe multiverse\n\
 deb http://mirrors.aliyun.com/ubuntu/ focal-backports main restricted universe multiverse\
 \n# deb-src http://mirrors.aliyun.com/ubuntu/ focal-backports main restricted universe multiverse'\
 > /etc/apt/sources.list
 RUN apt update && apt install -y python3 python3-pip 
 RUN pip3 config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
 RUN pip3 install wave scipy matplotlib tensorflow-cpu==2.5.3 numpy==1.19.2 requests flask waitress grpcio==1.34.0 grpcio-tools==1.34.0 protobuf
 RUN echo $'cd /asrt_server \n python3 asrserver_http.py & \n python3 asrserver_grpc.py' > /asrt_server/start.sh && chmod +x /asrt_server/start.sh
 # refer: https://docs.docker.com/engine/reference/builder/#expose
 EXPOSE 20001/tcp 20002/tcp
 ENTRYPOINT ["/bin/bash", "/asrt_server/start.sh"]
 # https://docs.docker.com/engine/reference/commandline/build/#options
 # docker build --progress plain --rm --build-arg TAG=1.3.0 --tag asrt/api_server:1.3.0 .
 # https://docs.docker.com/engine/reference/commandline/run/#options
 # docker run --rm -it -p 20001:20001 -p 20002:20002 --name asrt -d asrt/api_server:1.3.0
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 USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
 DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
 PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
 EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
 SUCH DAMAGES.
  17. Interpretation of Sections 15 and 16.
  If the disclaimer of warranty and limitation of liability provided
 above cannot be given local legal effect according to their terms,
 reviewing courts shall apply local law that most closely approximates
 an absolute waiver of all civil liability in connection with the
 Program, unless a warranty or assumption of liability accompanies a
 copy of the Program in return for a fee.
                     END OF TERMS AND CONDITIONS
            How to Apply These Terms to Your New Programs
  If you develop a new program, and you want it to be of the greatest
 possible use to the public, the best way to achieve this is to make it
 free software which everyone can redistribute and change under these terms.
  To do so, attach the following notices to the program.  It is safest
 to attach them to the start of each source file to most effectively
 state the exclusion of warranty; and each file should have at least
 the "copyright" line and a pointer to where the full notice is found.
    {one line to give the program's name and a brief idea of what it does.}
    Copyright (C) {year}  {name of author}
    This program is free software: you can redistribute it and/or modify
    it under the terms of the GNU General Public License as published by
    the Free Software Foundation, either version 3 of the License, or
    (at your option) any later version.
    This program is distributed in the hope that it will be useful,
    but WITHOUT ANY WARRANTY; without even the implied warranty of
    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
    GNU General Public License for more details.
    You should have received a copy of the GNU General Public License
    along with this program.  If not, see <http://www.gnu.org/licenses/>.
 Also add information on how to contact you by electronic and paper mail.
  If the program does terminal interaction, make it output a short
 notice like this when it starts in an interactive mode:
    ASRT_SpeechRecognition  Copyright (C) 2017  nl8590687
    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
    This is free software, and you are welcome to redistribute it
    under certain conditions; type `show c' for details.
 The hypothetical commands `show w' and `show c' should show the appropriate
 parts of the General Public License.  Of course, your program's commands
 might be different; for a GUI interface, you would use an "about box".
  You should also get your employer (if you work as a programmer) or school,
 if any, to sign a "copyright disclaimer" for the program, if necessary.
 For more information on this, and how to apply and follow the GNU GPL, see
 <http://www.gnu.org/licenses/>.
  The GNU General Public License does not permit incorporating your program
 into proprietary programs.  If your program is a subroutine library, you
 may consider it more useful to permit linking proprietary applications with
 the library.  If this is what you want to do, use the GNU Lesser General
 Public License instead of this License.  But first, please read
 <http://www.gnu.org/philosophy/why-not-lgpl.html>.
--- a/README.md
+++ b/README.md
@ -0,0 +1,238 @@
 ![](https://res.ailemon.net/common/asrt_title_header.png)
 [![GPL-3.0 Licensed](https://img.shields.io/badge/License-GPL3.0-blue.svg?style=flat)](https://opensource.org/licenses/GPL-3.0) 
 [![Stars](https://img.shields.io/github/stars/nl8590687/ASRT_SpeechRecognition)](https://github.com/nl8590687/ASRT_SpeechRecognition) 
 [![TensorFlow Version](https://img.shields.io/badge/Tensorflow-2.5+-blue.svg)](https://www.tensorflow.org/) 
 [![Python Version](https://img.shields.io/badge/Python-3.7+-blue.svg)](https://www.python.org/) 
 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5808434.svg)](https://doi.org/10.5281/zenodo.5808434)
 ASRT是一个基于深度学习的中文语音识别系统，如果您觉得喜欢，请点一个 **"Star"** 吧~
 **ReadMe Language** | 中文版 | [English](https://github.com/nl8590687/ASRT_SpeechRecognition/blob/master/README_EN.md) |
 [**ASRT项目主页**](https://asrt.ailemon.net/) | 
 [**发布版下载**](https://wiki.ailemon.net/docs/asrt-doc/download) | 
 [**查看本项目的Wiki文档**](https://wiki.ailemon.net/docs/asrt-doc) | 
 [**实用效果体验Demo**](https://asrt.ailemon.net/demo) | 
 [**打赏作者**](https://wiki.ailemon.net/docs/asrt-doc/asrt-doc-1deo9u61unti9)
 如果程序运行期间或使用中有什么问题，可以及时在issue中提出来，我将尽快做出答复。本项目作者交流QQ群：**894112051** ，加微信群请先加AI柠檬微信号：**ailemon-me** ，并备注“ASRT语音识别”
 <center><img src="https://res.ailemon.net/common/ailemon-me-wechat-qrcode.jpg?x-oss-process=style/ailemon-blog-webp" height="100rem"/></center>
 提问前请仔细查看[项目文档](https://asrt.ailemon.net/docs/)、 
 [FAQ常见问题](https://wiki.ailemon.net/docs/asrt-doc/asrt-doc-1deoeud494h4f)
 以及[Issues](https://github.com/nl8590687/ASRT_SpeechRecognition/issues) 避免重复提问
 如果程序运行时有任何异常情况，在提问时请发出完整截图，并注明所使用的CPU架构，GPU型号，操作系统、Python，TensorFlow和CUDA版本，以及是否修改过任何代码或增删数据集等。
 ## Introduction 简介
 本项目使用tensorFlow.keras基于深度卷积神经网络和长短时记忆神经网络、注意力机制以及CTC实现。
 ## 训练模型的最低软硬件要求
 ### 硬件
 * CPU: 4核 (x86_64, amd64) +
 * RAM: 16 GB +
 * GPU: NVIDIA, Graph Memory 11GB+ (1080ti起步)
 * 硬盘: 500 GB 机械硬盘(或固态硬盘)
 ### 软件
 * Linux: Ubuntu 18.04 + / CentOS 7 + 或 Windows 10/11
 * Python: 3.7 - 3.10 及后续版本
 * TensorFlow: 2.5 - 2.11 及后续版本
 ## 快速开始
 以在Linux系统下的操作为例：
 首先通过Git将本项目克隆到您的计算机上，然后下载本项目训练所需要的数据集，下载链接详见[文档末尾部分](https://github.com/nl8590687/ASRT_SpeechRecognition#data-sets-%E6%95%B0%E6%8D%AE%E9%9B%86)。
 ```shell
 $ git clone https://github.com/nl8590687/ASRT_SpeechRecognition.git
 ```
 或者您也可以通过 "Fork" 按钮，将本项目Copy一份副本，然后通过您自己的SSH密钥克隆到本地。
 通过git克隆仓库以后，进入项目根目录；并创建一个存储数据的子目录， 例如 `/data/speech_data` (可使用软链接代替)，然后将下载好的数据集直接解压进去
 注意，当前版本中，在配置文件里，默认添加了Thchs30、ST-CMDS、Primewords、aishell-1、aidatatang200、MagicData 六个数据集，如果不需要请自行删除。如果要使用其他数据集需要自行添加数据配置，并提前使用ASRT支持的标准格式整理数据。
 ```shell
 $ cd ASRT_SpeechRecognition
 $ mkdir /data/speech_data
 $ tar zxf <数据集压缩文件名> -C /data/speech_data/ 
 ```
 下载默认数据集的拼音标签文件：
 ```shell
 $ python download_default_datalist.py
 ```
 目前可用的模型有24、25、251和251bn
 运行本项目之前，请安装必要的[Python3版依赖库](https://github.com/nl8590687/ASRT_SpeechRecognition#python-import)
 本项目开始训练请执行：
 ```shell
 $ python3 train_speech_model.py
 ```
 本项目开始测试请执行：
 ```shell
 $ python3 evaluate_speech_model.py
 ```
 测试之前，请确保代码中填写的模型文件路径存在。
 预测单条音频文件的语音识别文本：
 ```shell
 $ python3 predict_speech_file.py
 ```
 启动ASRT HTTP协议的API服务器启动请执行：
 ```shell
 $ python3 asrserver_http.py
 ```
 本地测试调用HTTP协议API服务是否成功：
 ```shell
 $ python3 client_http.py
 ```
 启动ASRT GRPC协议的API服务器启动请执行：
 ```shell
 $ python3 asrserver_grpc.py
 ```
 本地测试调用GRPC协议API服务是否成功：
 ```shell
 $ python3 client_grpc.py
 ```
 请注意，开启API服务器之后，需要使用本ASRT项目对应的客户端软件来进行语音识别，详见Wiki文档[下载ASRT语音识别客户端SDK和Demo](https://wiki.ailemon.net/docs/asrt-doc/download)。
 如果要训练和使用非251bn版模型，请在代码中 `from speech_model.xxx import xxx` 的相应位置做修改。
 使用docker直接部署ASRT：
 ```shell
 $ docker pull ailemondocker/asrt_service:1.3.0
 $ docker run --rm -it -p 20001:20001 -p 20002:20002 --name asrt-server -d ailemondocker/asrt_service:1.3.0
 ```
 仅CPU运行推理识别，不作训练
 ## Model 模型
 ### Speech Model 语音模型
 DCNN + CTC
 其中，输入的音频的最大时间长度为16秒，输出为对应的汉语拼音序列
 * 关于下载已经训练好的模型的问题
 已经训练好的模型包含在发布版服务端程序压缩包里面，发布版成品服务端程序可以在此下载：[ASRT下载页面](https://wiki.ailemon.net/docs/asrt-doc/download)。
 Github本仓库下[Releases](https://github.com/nl8590687/ASRT_SpeechRecognition/releases)页面里面还包括各个不同版本的介绍信息，每个版本下方的zip压缩包也是包含已经训练好的模型的发布版服务端程序压缩包。
 ### Language Model 语言模型
 基于概率图的最大熵隐马尔可夫模型
 输入为汉语拼音序列，输出为对应的汉字文本
 ## About Accuracy 关于准确率
 当前，最好的模型在测试集上基本能达到85%的汉语拼音正确率
 ## Python依赖库
 * tensorFlow (2.5-2.11+)
 * numpy
 * wave
 * matplotlib
 * scipy
 * requests
 * flask
 * waitress
 * grpcio / grpcio-tools / protobuf
 不会安装环境的同学请直接运行以下命令(前提是有GPU且已经安装好 Python3.9、CUDA 11.2 和 cudnn 8.1)：
 ```shell
 $ pip install -r requirements.txt
 ```
 [依赖环境和性能配置要求](https://wiki.ailemon.net/docs/asrt-doc/asrt-doc-1deobk7bmlgd6)
 ## Data Sets 数据集
 完整内容请查看：[几个最新免费开源的中文语音数据集](https://blog.ailemon.net/2018/11/21/free-open-source-chinese-speech-datasets/)
 |数据集|时长|大小|国内下载|国外下载|
 |-|-|-|-|-|
 |THCHS30|40h|6.01G|[data_thchs30.tgz](<http://openslr.magicdatatech.com/resources/18/data_thchs30.tgz>)|[data_thchs30.tgz](<http://www.openslr.org/resources/18/data_thchs30.tgz>)|
 |ST-CMDS|100h|7.67G|[ST-CMDS-20170001_1-OS.tar.gz](<http://openslr.magicdatatech.com/resources/38/ST-CMDS-20170001_1-OS.tar.gz>)|[ST-CMDS-20170001_1-OS.tar.gz](<http://www.openslr.org/resources/38/ST-CMDS-20170001_1-OS.tar.gz>)|
 |AIShell-1|178h|14.51G|[data_aishell.tgz](<http://openslr.magicdatatech.com/resources/33/data_aishell.tgz>)|[data_aishell.tgz](<http://www.openslr.org/resources/33/data_aishell.tgz>)|
 |Primewords|100h|8.44G|[primewords_md_2018_set1.tar.gz](<http://openslr.magicdatatech.com/resources/47/primewords_md_2018_set1.tar.gz>)|[primewords_md_2018_set1.tar.gz](<http://www.openslr.org/resources/47/primewords_md_2018_set1.tar.gz>)|
 |aidatatang_200zh|200h|17.47G|[aidatatang_200zh.tgz](<http://openslr.magicdatatech.com/resources/62/aidatatang_200zh.tgz>)|[aidatatang_200zh.tgz](<http://www.openslr.org/resources/62/aidatatang_200zh.tgz>)|
 |MagicData|755h|52G/1.0G/2.2G| [train_set.tar.gz](<http://openslr.magicdatatech.com/resources/68/train_set.tar.gz>) / [dev_set.tar.gz](<http://openslr.magicdatatech.com/resources/68/dev_set.tar.gz>) / [test_set.tar.gz](<http://openslr.magicdatatech.com/resources/68/test_set.tar.gz>)|[train_set.tar.gz](<http://www.openslr.org/resources/68/train_set.tar.gz>) / [dev_set.tar.gz](<http://www.openslr.org/resources/68/dev_set.tar.gz>) / [test_set.tar.gz](<http://www.openslr.org/resources/68/test_set.tar.gz>)|
  注：AISHELL-1 数据集解压方法
  ```
  $ tar xzf data_aishell.tgz
  $ cd data_aishell/wav
  $ for tar in *.tar.gz;  do tar xvf $tar; done
  ```
 特别鸣谢！感谢前辈们的公开语音数据集
 如果提供的数据集链接无法打开和下载，请点击该链接 [OpenSLR](http://www.openslr.org)
 ## ASRT语音识别API客户端调用SDK
 ASRT为客户端通过RPC方式调用开发语音识别功能提供了不同平台和编程语言的SDK接入能力，对于其他平台，可直接通过调用通用RESTful Open API方式进行语音识别功能接入。具体接入步骤请看ASRT项目文档。
 |客户端平台|项目仓库链接|
 |-|-|
 |Windows客户端SDK和Demo|[ASRT_SDK_WinClient](https://github.com/nl8590687/ASRT_SDK_WinClient)|
 |跨平台Python3客户端SDK和Demo|[ASRT_SDK_Python3](https://github.com/nl8590687/ASRT_SDK_Python3)|
 |跨平台Golang客户端SDK和Demo|[asrt-sdk-go](https://github.com/nl8590687/asrt-sdk-go)|
 |Java客户端SDK和Demo|[ASRT_SDK_Java](https://github.com/nl8590687/ASRT_SDK_Java)|
 ## ASRT相关资料 
 * [查看ASRT项目的Wiki文档](https://wiki.ailemon.net/docs/asrt-doc)
 ASRT的原理请查看本文：
 * [ASRT：一个中文语音识别系统](https://blog.ailemon.net/2018/08/29/asrt-a-chinese-speech-recognition-system/)
 ASRT训练和部署教程请看：
 * [教你如何使用ASRT训练中文语音识别模型](<https://blog.ailemon.net/2020/08/20/teach-you-how-use-asrt-train-chinese-asr-model/>)
 * [教你如何使用ASRT部署中文语音识别API服务器](<https://blog.ailemon.net/2020/08/27/teach-you-how-use-asrt-deploy-chinese-asr-api-server/>)
 关于经常被问到的统计语言模型原理的问题，请看：
 * [统计语言模型：从中文拼音到文本](https://blog.ailemon.net/2017/04/27/statistical-language-model-chinese-pinyin-to-words/)
 * [统计N元语言模型生成算法：简单中文词频统计](https://blog.ailemon.net/2017/02/20/simple-words-frequency-statistic-without-segmentation-algorithm/)
 关于CTC的问题请看：
 * [[翻译]使用CTC进行序列建模](<https://blog.ailemon.net/2019/07/18/sequence-modeling-with-ctc/>)
 更多内容请访问作者的博客：[AI柠檬博客](https://blog.ailemon.net/)
 或使用[AI柠檬站内搜索引擎](https://s.ailemon.net/)进行相关信息的搜索
 ## License 开源许可协议
 [GPL v3.0](LICENSE) © [nl8590687](https://github.com/nl8590687) 作者：[AI柠檬](https://www.ailemon.net/)
 ## 参考引用本项目
 [DOI: 10.5281/zenodo.5808434](https://doi.org/10.5281/zenodo.5808434)
 ## Contributors 贡献者们
 [贡献者页面](https://github.com/nl8590687/ASRT_SpeechRecognition/graphs/contributors)
@nl8590687 (repo owner)
--- a/README_EN.md
+++ b/README_EN.md
@ -0,0 +1,236 @@
 ![](https://res.ailemon.net/common/asrt_title_header_en.png)
 [![GPL-3.0 Licensed](https://img.shields.io/badge/License-GPL3.0-blue.svg?style=flat)](https://opensource.org/licenses/GPL-3.0) 
 [![Stars](https://img.shields.io/github/stars/nl8590687/ASRT_SpeechRecognition)](https://github.com/nl8590687/ASRT_SpeechRecognition) 
 [![TensorFlow Version](https://img.shields.io/badge/Tensorflow-2.5+-blue.svg)](https://www.tensorflow.org/) 
 [![Python Version](https://img.shields.io/badge/Python-3.7+-blue.svg)](https://www.python.org/) 
 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5808434.svg)](https://doi.org/10.5281/zenodo.5808434)
 ASRT is A Deep-Learning-Based Chinese Speech Recognition System. If you like this project, please **star** it. 
 **ReadMe Language** | [中文版](https://github.com/nl8590687/ASRT_SpeechRecognition/blob/master/README.md) | English |
 [**ASRT Project Home Page**](https://asrt.ailemon.net/) | 
 [**Released Download**](https://wiki.ailemon.net/docs/asrt-doc/download) | 
 [**View this project's wiki document (Chinese)**](https://wiki.ailemon.net/docs/asrt-doc) | 
 [**Experience Demo**](https://asrt.ailemon.net/demo) | 
 [**Donate**](https://wiki.ailemon.net/docs/asrt-doc/asrt-doc-1deo9u61unti9)
 If you have any questions in your works with this project, welcome to put up issues in this repo and I will response as soon as possible. 
 You can check the [FAQ Page (Chinese)](https://wiki.ailemon.net/docs/asrt-doc/asrt-doc-1deoeud494h4f) first before asking questions to avoid repeating questions.
 If there is any abnormality when the program is running, please send a complete screenshot when asking questions, and indicate the CPU architecture, GPU model, operating system, Python, TensorFlow and CUDA versions used, and whether any code has been modified or data sets have been added or deleted, etc. .
 ## Introduction
 This project uses tensorFlow.keras based on deep convolutional neural network and long-short memory neural network, attention mechanism and CTC to implement. 
 ## Minimum requirements for training
 ### Hardware
 * CPU: 4 Core (x86_64, amd64) +
 * RAM: 16 GB +
 * GPU: NVIDIA, Graph Memory 11GB+ (>1080ti)
 * 硬盘: 500 GB HDD(or SSD)
 ### Software
 * Linux: Ubuntu 18.04 + / CentOS 7 + or Windows 10/11
 * Python: 3.7 - 3.10 and later
 * TensorFlow: 2.5 - 2.11 and later
 ## Quick Start
 Take the operation under the Linux system as an example:
 First, clone the project to your computer through Git, and then download the data sets needed for the training of this project. For the download links, please refer to [End of Document](https://github.com/nl8590687/ASRT_SpeechRecognition/blob/master/README_EN.md#data-sets)
 ```shell
 $ git clone https://github.com/nl8590687/ASRT_SpeechRecognition.git
 ```
 Or you can use the "Fork" button to copy a copy of the project and then clone it locally with your own SSH key.
 After cloning the repository via git, go to the project root directory; create a subdirectory `/data/speech_data` (you can use a soft link instead) for datasets, and then extract the downloaded datasets directly into it.
 ```shell
 $ cd ASRT_SpeechRecognition
 $ mkdir /data/speech_data
 $ tar zxf <dataset zip files name> -C /data/speech_data/ 
 ```
 Note that in the current version, in the configuration file, six data sets, Thchs30, ST-CMDS, Primewords, aishell-1, aidatatang200, MagicData, are added by default, please delete them if you don’t need them. If you want to use other data sets, you need to add data configuration yourself, and use the standard format supported by ASRT to organize the data in advance.
 To download pinyin syllable list files for default dataset:
 ```shell
 $ python download_default_datalist.py
 ```
 Currently available models are 24, 25, 251 and 251bn
 Before running this project, please install the necessary [Python3 version dependent library](https://github.com/nl8590687/ASRT_SpeechRecognition#python-import)
 To start training this project, please execute:
 ```shell
 $ python3 train_speech_model.py
 ```
 To start the test of this project, please execute:
 ```shell
 $ python3 evaluate_speech_model.py
 ```
 Before testing, make sure the model file path filled in the code files exists.
 To predict one wave audio file for speech recognition：
 ```shell
 $ python3 predict_speech_file.py
 ```
 To startup ASRT API Server with HTTP protocol please execute:
 ```shell
 $ python3 asrserver_http.py
 ```
 Please note that after opening the API server, you need to use the client software corresponding to this ASRT project for voice recognition. For details, see the Wiki documentation to [download ASRT Client SDK & Demo](https://wiki.ailemon.net/docs/asrt-doc/download).
 To test whether it is successful or not that calls api service interface with HTTP protocol:
 ```shell
 $ python3 client_http.py
 ```
 To startup ASRT API Server with GRPC protocol please execute:
 ```shell
 $ python3 asrserver_grpc.py
 ```
 To test whether it is successful or not that calls api service interface with GRPC protocol:
 ```shell
 $ python3 client_grpc.py
 ```
 If you want to train and use other model(not Model 251bn), make changes in the corresponding position of the `from speech_model.xxx import xxx` in the code files.
 If there is any problem during the execution of the program or during use, it can be promptly put forward in the issue, and I will reply as soon as possible.
 Deploy ASRT by docker：
 ```shell
 $ docker pull ailemondocker/asrt_service:1.3.0
 $ docker run --rm -it -p 20001:20001 -p 20002:20002 --name asrt-server -d ailemondocker/asrt_service:1.3.0
 ```
 It will start a api server for recognition rather than training.
 ## Model
 ### Speech Model
 DCNN + CTC
 The maximum length of the input audio is 16 seconds, and the output is the corresponding Chinese pinyin sequence. 
 * Questions about downloading trained models
 The released finished software that includes trained model weights can be downloaded from [ASRT download page](https://wiki.ailemon.net/docs/asrt-doc/download). 
 Github [Releases](https://github.com/nl8590687/ASRT_SpeechRecognition/releases) page includes the archives of the various versions of the software released and it's introduction. Under each version module, there is a zip file that includes trained model weights files. 
 ### Language Model 
 Maximum Entropy Hidden Markov Model Based on Probability Graph. 
 The input is a Chinese pinyin sequence, and the output is the corresponding Chinese character text. 
 ## About Accuracy
 At present, the best model can basically reach 85% of Pinyin correct rate on the test set. 
 ## Python Dependency Library
 * tensorFlow (2.5-2.11+)
 * numpy
 * wave
 * matplotlib
 * math
 * scipy
 * requests
 * flask
 * waitress
 * grpcio / grpcio-tools / protobuf
 If you have trouble when install those packages, please run the following script to do it as long as you have a GPU and python 3.9, CUDA 11.2 and cudnn 8.1 have been installed：
 ```shell
 $ pip install -r requirements.txt
 ```
 [Dependent Environment Details and Hardware Requirement](https://wiki.ailemon.net/docs/asrt-doc/asrt-doc-1deobk7bmlgd6)
 ## ASRT Client SDK for Calling Speech Recognition API
 ASRT provides the abilities to import client SDKs for several platform and programing language for client develop speech recognition features , which work by RPC. Please refer ASRT project documents for detail.
 |Client Platform|Project Repos Link|
 |-|-|
 |Windows Client SDK & Demo|[ASRT_SDK_WinClient](https://github.com/nl8590687/ASRT_SDK_WinClient)|
 |Python3 Client SDK & Demo (Any Platform)|[ASRT_SDK_Python3](https://github.com/nl8590687/ASRT_SDK_Python3)|
 |Golang Client SDK & Demo|[asrt-sdk-go](https://github.com/nl8590687/asrt-sdk-go)|
 |Java Client SDK & Demo|[ASRT_SDK_Java](https://github.com/nl8590687/ASRT_SDK_Java)|
 ## Data Sets 
 For full content please refer: [Some free Chinese speech datasets (Chinese)](https://blog.ailemon.net/2018/11/21/free-open-source-chinese-speech-datasets/)
 |Dataset|Time|Size|Download (CN Mirrors)|Download (Source)|
 |-|-|-|-|-|
 |THCHS30|40h|6.01G|[data_thchs30.tgz](<http://openslr.magicdatatech.com/resources/18/data_thchs30.tgz>)|[data_thchs30.tgz](<http://www.openslr.org/resources/18/data_thchs30.tgz>)|
 |ST-CMDS|100h|7.67G|[ST-CMDS-20170001_1-OS.tar.gz](<http://openslr.magicdatatech.com/resources/38/ST-CMDS-20170001_1-OS.tar.gz>)|[ST-CMDS-20170001_1-OS.tar.gz](<http://www.openslr.org/resources/38/ST-CMDS-20170001_1-OS.tar.gz>)|
 |AIShell-1|178h|14.51G|[data_aishell.tgz](<http://openslr.magicdatatech.com/resources/33/data_aishell.tgz>)|[data_aishell.tgz](<http://www.openslr.org/resources/33/data_aishell.tgz>)|
 |Primewords|100h|8.44G|[primewords_md_2018_set1.tar.gz](<http://openslr.magicdatatech.com/resources/47/primewords_md_2018_set1.tar.gz>)|[primewords_md_2018_set1.tar.gz](<http://www.openslr.org/resources/47/primewords_md_2018_set1.tar.gz>)|
 |aidatatang_200zh|200h|17.47G|[aidatatang_200zh.tgz](<http://openslr.magicdatatech.com/resources/62/aidatatang_200zh.tgz>)|[aidatatang_200zh.tgz](<http://www.openslr.org/resources/62/aidatatang_200zh.tgz>)|
 |MagicData|755h|52G/1.0G/2.2G| [train_set.tar.gz](<http://openslr.magicdatatech.com/resources/68/train_set.tar.gz>) / [dev_set.tar.gz](<http://openslr.magicdatatech.com/resources/68/dev_set.tar.gz>) / [test_set.tar.gz](<http://openslr.magicdatatech.com/resources/68/test_set.tar.gz>)|[train_set.tar.gz](<http://www.openslr.org/resources/68/train_set.tar.gz>) / [dev_set.tar.gz](<http://www.openslr.org/resources/68/dev_set.tar.gz>) / [test_set.tar.gz](<http://www.openslr.org/resources/68/test_set.tar.gz>)|
  Note：The way to unzip AISHELL-1 dataset
  ```
  $ tar xzf data_aishell.tgz
  $ cd data_aishell/wav
  $ for tar in *.tar.gz;  do tar xvf $tar; done
  ```
 Special thanks! Thanks to the predecessors' public voice data set. 
 If the provided dataset link cannot be opened and downloaded, click this link [OpenSLR](http://www.openslr.org)
 ## ASRT Docuemnts
 * [ASRT project's Wiki document](https://wiki.ailemon.net/docs/asrt-doc)
 A post about ASRT's introduction 
 * [ASRT: Chinese Speech Recognition System (Chinese)](https://blog.ailemon.net/2018/08/29/asrt-a-chinese-speech-recognition-system/)
 About how to use ASRT to train and deploy：
 * [Teach you how to use ASRT to train Chinese ASR model (Chinese)](<https://blog.ailemon.net/2020/08/20/teach-you-how-use-asrt-train-chinese-asr-model/>)
 * [Teach you how to use ASRT to deploy Chinese ASR API Server (Chinese)](<https://blog.ailemon.net/2020/08/27/teach-you-how-use-asrt-deploy-chinese-asr-api-server/>)
 For questions about the principles of the statistical language model that are often asked, see: 
 * [Simple Chinese word frequency statistics to generate N-gram language model (Chinese)](https://blog.ailemon.net/2017/02/20/simple-words-frequency-statistic-without-segmentation-algorithm/)
 * [Statistical Language Model: Chinese Pinyin to Words (Chinese)](https://blog.ailemon.net/2017/04/27/statistical-language-model-chinese-pinyin-to-words/)
 For questions about CTC, see: 
 * [[Translation] Sequence Modeling with CTC (Chinese)](<https://blog.ailemon.net/2019/07/18/sequence-modeling-with-ctc/>)
 For more infomation please refer to author's blog website: [AILemon Blog](https://blog.ailemon.net/) (Chinese)
 ## License
 [GPL v3.0](LICENSE) © [nl8590687](https://github.com/nl8590687) Author: [ailemon](https://www.ailemon.net/)
 ## Cite this project
 [DOI: 10.5281/zenodo.5808434](https://doi.org/10.5281/zenodo.5808434)
 ## Contributors
 [Contributors Page](https://github.com/nl8590687/ASRT_SpeechRecognition/graphs/contributors)
@nl8590687 (repo owner)
--- a/asrserver_grpc.py
+++ b/asrserver_grpc.py
@ -0,0 +1,180 @@
 # !/usr/bin/env python3
 # -*- coding: utf-8 -*-
 #
 # Copyright 2016-2099 Ailemon.net
 #
 # This file is part of ASRT Speech Recognition Tool.
 #
 # ASRT is free software: you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
 # the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 # ASRT is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU General Public License for more details.
 #
 # You should have received a copy of the GNU General Public License
 # along with ASRT.  If not, see <https://www.gnu.org/licenses/>.
 # ============================================================================
 """
@author: nl8590687
 ASRT语音识别基于gRPC协议的API服务器程序
 """
 import argparse
 import time
 from concurrent import futures
 import grpc
 from assets.asrt_pb2_grpc import AsrtGrpcServiceServicer, add_AsrtGrpcServiceServicer_to_server
 from assets.asrt_pb2 import SpeechResponse, TextResponse
 from speech_model import ModelSpeech
 from model_zoo.speech_model.keras_backend import SpeechModel251BN
 from speech_features import Spectrogram
 from language_model3 import ModelLanguage
 from utils.ops import decode_wav_bytes
 API_STATUS_CODE_OK = 200000  # OK
 API_STATUS_CODE_OK_PART = 206000  # 部分结果OK，用于stream
 API_STATUS_CODE_CLIENT_ERROR = 400000
 API_STATUS_CODE_CLIENT_ERROR_FORMAT = 400001  # 请求数据格式错误
 API_STATUS_CODE_CLIENT_ERROR_CONFIG = 400002  # 请求数据配置不支持
 API_STATUS_CODE_SERVER_ERROR = 500000
 API_STATUS_CODE_SERVER_ERROR_RUNNING = 500001  # 服务器运行中出错
 parser = argparse.ArgumentParser(description='ASRT gRPC Protocol API Service')
 parser.add_argument('--listen', default='0.0.0.0', type=str, help='the network to listen')
 parser.add_argument('--port', default='20002', type=str, help='the port to listen')
 args = parser.parse_args()
 AUDIO_LENGTH = 1600
 AUDIO_FEATURE_LENGTH = 200
 CHANNELS = 1
 # 默认输出的拼音的表示大小是1428，即1427个拼音+1个空白块
 OUTPUT_SIZE = 1428
 sm251bn = SpeechModel251BN(
    input_shape=(AUDIO_LENGTH, AUDIO_FEATURE_LENGTH, CHANNELS),
    output_size=OUTPUT_SIZE
 )
 feat = Spectrogram()
 ms = ModelSpeech(sm251bn, feat, max_label_length=64)
 ms.load_model('save_models/' + sm251bn.get_model_name() + '.model.h5')
 ml = ModelLanguage('model_language')
 ml.load_model()
 _ONE_DAY_IN_SECONDS = 60 * 60 * 24
 class ApiService(AsrtGrpcServiceServicer):
    """
    继承AsrtGrpcServiceServicer,实现hello方法
    """
    def __init__(self):
        pass
    def Speech(self, request, context):
        """
        具体实现Speech的方法, 并按照pb的返回对象构造SpeechResponse返回
        :param request:
        :param context:
        :return:
        """
        wav_data = request.wav_data
        wav_samples = decode_wav_bytes(samples_data=wav_data.samples,
                                       channels=wav_data.channels, byte_width=wav_data.byte_width)
        result = ms.recognize_speech(wav_samples, wav_data.sample_rate)
        print("语音识别声学模型结果:", result)
        return SpeechResponse(status_code=API_STATUS_CODE_OK, status_message='',
                              result_data=result)
    def Language(self, request, context):
        """
        具体实现Language的方法, 并按照pb的返回对象构造TextResponse返回
        :param request:
        :param context:
        :return:
        """
        print('Language收到了请求:', request)
        result = ml.pinyin_to_text(list(request.pinyins))
        print('Language结果:', result)
        return TextResponse(status_code=API_STATUS_CODE_OK, status_message='',
                            text_result=result)
    def All(self, request, context):
        """
        具体实现All的方法, 并按照pb的返回对象构造TextResponse返回
        :param request:
        :param context:
        :return:
        """
        wav_data = request.wav_data
        wav_samples = decode_wav_bytes(samples_data=wav_data.samples,
                                       channels=wav_data.channels, byte_width=wav_data.byte_width)
        result_speech = ms.recognize_speech(wav_samples, wav_data.sample_rate)
        result = ml.pinyin_to_text(result_speech)
        print("语音识别结果:", result)
        return TextResponse(status_code=API_STATUS_CODE_OK, status_message='',
                            text_result=result)
    def Stream(self, request_iterator, context):
        """
        具体实现Stream的方法, 并按照pb的返回对象构造TextResponse返回
        :param request_iterator:
        :param context:
        :return:
        """
        result = list()
        tmp_result_last = list()
        beam_size = 100
        for request in request_iterator:
            wav_data = request.wav_data
            wav_samples = decode_wav_bytes(samples_data=wav_data.samples,
                                           channels=wav_data.channels,
                                           byte_width=wav_data.byte_width)
            result_speech = ms.recognize_speech(wav_samples, wav_data.sample_rate)
            for item_pinyin in result_speech:
                tmp_result = ml.pinyin_stream_decode(tmp_result_last, item_pinyin, beam_size)
                if len(tmp_result) == 0 and len(tmp_result_last) > 0:
                    result.append(tmp_result_last[0][0])
                    print("流式语音识别结果：", ''.join(result))
                    yield TextResponse(status_code=API_STATUS_CODE_OK, status_message='',
                                       text_result=''.join(result))
                    result = list()
                    tmp_result = ml.pinyin_stream_decode([], item_pinyin, beam_size)
                tmp_result_last = tmp_result
                yield TextResponse(status_code=API_STATUS_CODE_OK_PART, status_message='',
                                   text_result=''.join(tmp_result[0][0]))
        if len(tmp_result_last) > 0:
            result.append(tmp_result_last[0][0])
            print("流式语音识别结果：", ''.join(result))
            yield TextResponse(status_code=API_STATUS_CODE_OK, status_message='',
                               text_result=''.join(result))
 def run(host, port):
    """
    gRPC API服务启动
    :return:
    """
    server = grpc.server(futures.ThreadPoolExecutor(max_workers=10))
    add_AsrtGrpcServiceServicer_to_server(ApiService(), server)
    server.add_insecure_port(''.join([host, ':', port]))
    server.start()
    print("start service...")
    try:
        while True:
            time.sleep(_ONE_DAY_IN_SECONDS)
    except KeyboardInterrupt:
        server.stop(0)
 if __name__ == '__main__':
    run(host=args.listen, port=args.port)
--- a/asrserver_http.py
+++ b/asrserver_http.py
@ -0,0 +1,189 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 #
 # Copyright 2016-2099 Ailemon.net
 #
 # This file is part of ASRT Speech Recognition Tool.
 #
 # ASRT is free software: you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
 # the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 # ASRT is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU General Public License for more details.
 #
 # You should have received a copy of the GNU General Public License
 # along with ASRT.  If not, see <https://www.gnu.org/licenses/>.
 # ============================================================================
 """
@author: nl8590687
 ASRT语音识别基于HTTP协议的API服务器程序
 """
 import argparse
 import base64
 import json
 from flask import Flask, Response, request
 from speech_model import ModelSpeech
 from model_zoo.speech_model.keras_backend import SpeechModel251BN
 from speech_features import Spectrogram
 from language_model3 import ModelLanguage
 from utils.ops import decode_wav_bytes
 API_STATUS_CODE_OK = 200000  # OK
 API_STATUS_CODE_CLIENT_ERROR = 400000
 API_STATUS_CODE_CLIENT_ERROR_FORMAT = 400001  # 请求数据格式错误
 API_STATUS_CODE_CLIENT_ERROR_CONFIG = 400002  # 请求数据配置不支持
 API_STATUS_CODE_SERVER_ERROR = 500000
 API_STATUS_CODE_SERVER_ERROR_RUNNING = 500001  # 服务器运行中出错
 parser = argparse.ArgumentParser(description='ASRT HTTP+Json RESTful API Service')
 parser.add_argument('--listen', default='0.0.0.0', type=str, help='the network to listen')
 parser.add_argument('--port', default='20001', type=str, help='the port to listen')
 args = parser.parse_args()
 app = Flask("ASRT API Service")
 AUDIO_LENGTH = 1600
 AUDIO_FEATURE_LENGTH = 200
 CHANNELS = 1
 # 默认输出的拼音的表示大小是1428，即1427个拼音+1个空白块
 OUTPUT_SIZE = 1428
 sm251bn = SpeechModel251BN(
    input_shape=(AUDIO_LENGTH, AUDIO_FEATURE_LENGTH, CHANNELS),
    output_size=OUTPUT_SIZE
 )
 feat = Spectrogram()
 ms = ModelSpeech(sm251bn, feat, max_label_length=64)
 ms.load_model('save_models/' + sm251bn.get_model_name() + '.model.h5')
 ml = ModelLanguage('model_language')
 ml.load_model()
 class AsrtApiResponse:
    """
    ASRT语音识别基于HTTP协议的API接口响应类
    """
    def __init__(self, status_code, status_message='', result=''):
        self.status_code = status_code
        self.status_message = status_message
        self.result = result
    def to_json(self):
        """
        类转json
        """
        return json.dumps(self, default=lambda o: o.__dict__, sort_keys=True)
 # api接口根url:GET
@app.route('/', methods=["GET"])
 def index_get():
    """
    根路径handle GET方法
    """
    buffer = ''
    with open('assets/default.html', 'r', encoding='utf-8') as file_handle:
        buffer = file_handle.read()
    return Response(buffer, mimetype='text/html; charset=utf-8')
 # api接口根url:POST
@app.route('/', methods=["POST"])
 def index_post():
    """
    根路径handle POST方法
    """
    json_data = AsrtApiResponse(API_STATUS_CODE_OK, 'ok')
    buffer = json_data.to_json()
    return Response(buffer, mimetype='application/json')
 # 获取分类列表
@app.route('/<level>', methods=["POST"])
 def recognition_post(level):
    """
    其他路径 POST方法
    """
    # 读取json文件内容
    try:
        if level == 'speech':
            request_data = request.get_json()
            samples = request_data['samples']
            wavdata_bytes = base64.urlsafe_b64decode(bytes(samples, encoding='utf-8'))
            sample_rate = request_data['sample_rate']
            channels = request_data['channels']
            byte_width = request_data['byte_width']
            wavdata = decode_wav_bytes(samples_data=wavdata_bytes,
                                       channels=channels, byte_width=byte_width)
            result = ms.recognize_speech(wavdata, sample_rate)
            json_data = AsrtApiResponse(API_STATUS_CODE_OK, 'speech level')
            json_data.result = result
            buffer = json_data.to_json()
            print('output:', buffer)
            return Response(buffer, mimetype='application/json')
        elif level == 'language':
            request_data = request.get_json()
            seq_pinyin = request_data['sequence_pinyin']
            result = ml.pinyin_to_text(seq_pinyin)
            json_data = AsrtApiResponse(API_STATUS_CODE_OK, 'language level')
            json_data.result = result
            buffer = json_data.to_json()
            print('output:', buffer)
            return Response(buffer, mimetype='application/json')
        elif level == 'all':
            request_data = request.get_json()
            samples = request_data['samples']
            wavdata_bytes = base64.urlsafe_b64decode(samples)
            sample_rate = request_data['sample_rate']
            channels = request_data['channels']
            byte_width = request_data['byte_width']
            wavdata = decode_wav_bytes(samples_data=wavdata_bytes,
                                       channels=channels, byte_width=byte_width)
            result_speech = ms.recognize_speech(wavdata, sample_rate)
            result = ml.pinyin_to_text(result_speech)
            json_data = AsrtApiResponse(API_STATUS_CODE_OK, 'all level')
            json_data.result = result
            buffer = json_data.to_json()
            print('ASRT Result:', result, 'output:', buffer)
            return Response(buffer, mimetype='application/json')
        else:
            request_data = request.get_json()
            print('input:', request_data)
            json_data = AsrtApiResponse(API_STATUS_CODE_CLIENT_ERROR, '')
            buffer = json_data.to_json()
            print('output:', buffer)
            return Response(buffer, mimetype='application/json')
    except Exception as except_general:
        request_data = request.get_json()
        # print(request_data['sample_rate'], request_data['channels'],
        # request_data['byte_width'], len(request_data['samples']),
        # request_data['samples'][-100:])
        json_data = AsrtApiResponse(API_STATUS_CODE_SERVER_ERROR, str(except_general))
        buffer = json_data.to_json()
        # print("input:", request_data, "\n", "output:", buffer)
        print("output:", buffer, "error:", except_general)
        return Response(buffer, mimetype='application/json')
 if __name__ == '__main__':
    # for development env
    # app.run(host='0.0.0.0', port=20001)
    # for production env
    import waitress
    waitress.serve(app, host=args.listen, port=args.port)
--- a/asrt_config.json
+++ b/asrt_config.json
@ -0,0 +1,122 @@
 {
    "dict_filename": "dict.txt",
    "dataset":{
        "train":[
            {
                "name": "thchs30_train",
                "data_list": "datalist/thchs30/train.wav.lst",
                "data_path": "/data/speech_data",
                "label_list": "datalist/thchs30/train.syllable.txt"
            },
            {
                "name": "stcmds_train",
                "data_list": "datalist/st-cmds/train.wav.txt",
                "data_path": "/data/speech_data",
                "label_list": "datalist/st-cmds/train.syllable.txt"
            },
            {
                "name": "primewords_train",
                "data_list": "datalist/primewords/train.wav.lst",
                "data_path": "/data/speech_data",
                "label_list": "datalist/primewords/train.syllable.txt"
            },
            {
                "name": "aishell_train",
                "data_list": "datalist/aishell/train.wav.lst",
                "data_path": "/data/speech_data",
                "label_list": "datalist/aishell/train.syllable.txt"
            },
            {
                "name": "aidatatang_train",
                "data_list": "datalist/aidatatang_lst/train.wav.lst",
                "data_path": "/data/speech_data",
                "label_list": "datalist/aidatatang_lst/train.syllable.txt"
            },
            {
                "name": "magicdata_train",
                "data_list": "datalist/magicdata_lst/train.wav.lst",
                "data_path": "/data/speech_data/magicdata",
                "label_list": "datalist/magicdata_lst/train.syllable.txt"
            }
        ],
        "dev":[
            {
                "name": "thchs30_dev",
                "data_list": "datalist/thchs30/cv.wav.lst",
                "data_path": "/data/speech_data",
                "label_list": "datalist/thchs30/cv.syllable.txt"
            },
            {
                "name": "stcmds_dev",
                "data_list": "datalist/st-cmds/dev.wav.txt",
                "data_path": "/data/speech_data",
                "label_list": "datalist/st-cmds/dev.syllable.txt"
            },
            {
                "name": "primewords_dev",
                "data_list": "datalist/primewords/dev.wav.lst",
                "data_path": "/data/speech_data",
                "label_list": "datalist/primewords/dev.syllable.txt"
            },
            {
                "name": "aishell_dev",
                "data_list": "datalist/aishell/dev.wav.lst",
                "data_path": "/data/speech_data",
                "label_list": "datalist/aishell/dev.syllable.txt"
            },
            {
                "name": "aidatatang_dev",
                "data_list": "datalist/aidatatang_lst/dev.wav.lst",
                "data_path": "/data/speech_data",
                "label_list": "datalist/aidatatang_lst/dev.syllable.txt"
            },
            {
                "name": "magicdata_dev",
                "data_list": "datalist/magicdata_lst/dev.wav.lst",
                "data_path": "/data/speech_data/magicdata",
                "label_list": "datalist/magicdata_lst/dev.syllable.txt"
            }
        ],
        "test":[
            {
                "name": "thchs30_test",
                "data_list": "datalist/thchs30/test.wav.lst",
                "data_path": "/data/speech_data",
                "label_list": "datalist/thchs30/test.syllable.txt"
            },
            {
                "name": "stcmds_test",
                "data_list": "datalist/st-cmds/test.wav.txt",
                "data_path": "/data/speech_data",
                "label_list": "datalist/st-cmds/test.syllable.txt"
            },
            {
                "name": "primewords_test",
                "data_list": "datalist/primewords/test.wav.lst",
                "data_path": "/data/speech_data",
                "label_list": "datalist/primewords/test.syllable.txt"
            },
            {
                "name": "aishell_test",
                "data_list": "datalist/aishell/test.wav.lst",
                "data_path": "/data/speech_data",
                "label_list": "datalist/aishell/test.syllable.txt"
            },
            {
                "name": "aidatatang_test",
                "data_list": "datalist/aidatatang_lst/test.wav.lst",
                "data_path": "/data/speech_data",
                "label_list": "datalist/aidatatang_lst/test.syllable.txt"
            },
            {
                "name": "magicdata_test",
                "data_list": "datalist/magicdata_lst/test.wav.lst",
                "data_path": "/data/speech_data/magicdata",
                "label_list": "datalist/magicdata_lst/test.syllable.txt"
            }
        ]
    }
 }
--- a/assets/asrt.proto
+++ b/assets/asrt.proto
@ -0,0 +1,55 @@
 /* Copyright 2016-2099 Ailemon.net
 This file is part of ASRT Speech Recognition Tool.
 ASRT is free software: you can redistribute it and/or modify
 it under the terms of the GNU General Public License as published by
 the Free Software Foundation, either version 3 of the License, or
 (at your option) any later version.
 ASRT is distributed in the hope that it will be useful,
 but WITHOUT ANY WARRANTY; without even the implied warranty of
 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 GNU General Public License for more details.
 You should have received a copy of the GNU General Public License
 along with ASRT.  If not, see <https://www.gnu.org/licenses/>.
 ============================================================================ */
 syntax = "proto3";
 package asrt;
 //定义服务接口
 service AsrtGrpcService {
    rpc Speech (SpeechRequest) returns (SpeechResponse) {}  //一个服务中可以定义多个接口，也就是多个函数功能
    rpc Language (LanguageRequest) returns (TextResponse) {}
    rpc All (SpeechRequest) returns (TextResponse) {}
    rpc Stream (stream SpeechRequest) returns (stream TextResponse) {}
 }
 message SpeechRequest {
    WavData wav_data = 1;
 }
 message SpeechResponse {
    int32 status_code = 1; 
    string status_message = 2; 
    repeated string result_data = 3; // 拼音结果
 }
 message LanguageRequest {
    repeated string pinyins = 1;
 }
 message TextResponse {
    int32 status_code = 1; 
    string status_message = 2; 
    string text_result = 3;
 }
 message WavData{
    bytes samples = 1; // wav样本点字节
    int32 sample_rate = 2; // wav采样率
    int32 channels = 3; // wav通道数
    int32 byte_width = 4; // wav样本字节宽度
 }
--- a/assets/asrt_pb2.py
+++ b/assets/asrt_pb2.py
@ -0,0 +1,325 @@
 # -*- coding: utf-8 -*-
 # Generated by the protocol buffer compiler.  DO NOT EDIT!
 # source: asrt.proto
 """Generated protocol buffer code."""
 from google.protobuf import descriptor as _descriptor
 from google.protobuf import message as _message
 from google.protobuf import reflection as _reflection
 from google.protobuf import symbol_database as _symbol_database
 # @@protoc_insertion_point(imports)
 _sym_db = _symbol_database.Default()
 DESCRIPTOR = _descriptor.FileDescriptor(
    name='asrt.proto',
    package='asrt',
    syntax='proto3',
    serialized_options=None,
    create_key=_descriptor._internal_create_key,
    serialized_pb=b'\n\nasrt.proto\x12\x04\x61srt\"0\n\rSpeechRequest\x12\x1f\n\x08wav_data\x18\x01 \x01(\x0b\x32\r.asrt.WavData\"R\n\x0eSpeechResponse\x12\x13\n\x0bstatus_code\x18\x01 \x01(\x05\x12\x16\n\x0estatus_message\x18\x02 \x01(\t\x12\x13\n\x0bresult_data\x18\x03 \x03(\t\"\"\n\x0fLanguageRequest\x12\x0f\n\x07pinyins\x18\x01 \x03(\t\"P\n\x0cTextResponse\x12\x13\n\x0bstatus_code\x18\x01 \x01(\x05\x12\x16\n\x0estatus_message\x18\x02 \x01(\t\x12\x13\n\x0btext_result\x18\x03 \x01(\t\"U\n\x07WavData\x12\x0f\n\x07samples\x18\x01 \x01(\x0c\x12\x13\n\x0bsample_rate\x18\x02 \x01(\x05\x12\x10\n\x08\x63hannels\x18\x03 \x01(\x05\x12\x12\n\nbyte_width\x18\x04 \x01(\x05\x32\xec\x01\n\x0f\x41srtGrpcService\x12\x35\n\x06Speech\x12\x13.asrt.SpeechRequest\x1a\x14.asrt.SpeechResponse\"\x00\x12\x37\n\x08Language\x12\x15.asrt.LanguageRequest\x1a\x12.asrt.TextResponse\"\x00\x12\x30\n\x03\x41ll\x12\x13.asrt.SpeechRequest\x1a\x12.asrt.TextResponse\"\x00\x12\x37\n\x06Stream\x12\x13.asrt.SpeechRequest\x1a\x12.asrt.TextResponse\"\x00(\x01\x30\x01\x62\x06proto3'
 )
 _SPEECHREQUEST = _descriptor.Descriptor(
    name='SpeechRequest',
    full_name='asrt.SpeechRequest',
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    create_key=_descriptor._internal_create_key,
    fields=[
        _descriptor.FieldDescriptor(
            name='wav_data', full_name='asrt.SpeechRequest.wav_data', index=0,
            number=1, type=11, cpp_type=10, label=1,
            has_default_value=False, default_value=None,
            message_type=None, enum_type=None, containing_type=None,
            is_extension=False, extension_scope=None,
            serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
    ],
    extensions=[
    ],
    nested_types=[],
    enum_types=[
    ],
    serialized_options=None,
    is_extendable=False,
    syntax='proto3',
    extension_ranges=[],
    oneofs=[
    ],
    serialized_start=20,
    serialized_end=68,
 )
 _SPEECHRESPONSE = _descriptor.Descriptor(
    name='SpeechResponse',
    full_name='asrt.SpeechResponse',
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    create_key=_descriptor._internal_create_key,
    fields=[
        _descriptor.FieldDescriptor(
            name='status_code', full_name='asrt.SpeechResponse.status_code', index=0,
            number=1, type=5, cpp_type=1, label=1,
            has_default_value=False, default_value=0,
            message_type=None, enum_type=None, containing_type=None,
            is_extension=False, extension_scope=None,
            serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
        _descriptor.FieldDescriptor(
            name='status_message', full_name='asrt.SpeechResponse.status_message', index=1,
            number=2, type=9, cpp_type=9, label=1,
            has_default_value=False, default_value=b"".decode('utf-8'),
            message_type=None, enum_type=None, containing_type=None,
            is_extension=False, extension_scope=None,
            serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
        _descriptor.FieldDescriptor(
            name='result_data', full_name='asrt.SpeechResponse.result_data', index=2,
            number=3, type=9, cpp_type=9, label=3,
            has_default_value=False, default_value=[],
            message_type=None, enum_type=None, containing_type=None,
            is_extension=False, extension_scope=None,
            serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
    ],
    extensions=[
    ],
    nested_types=[],
    enum_types=[
    ],
    serialized_options=None,
    is_extendable=False,
    syntax='proto3',
    extension_ranges=[],
    oneofs=[
    ],
    serialized_start=70,
    serialized_end=152,
 )
 _LANGUAGEREQUEST = _descriptor.Descriptor(
    name='LanguageRequest',
    full_name='asrt.LanguageRequest',
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    create_key=_descriptor._internal_create_key,
    fields=[
        _descriptor.FieldDescriptor(
            name='pinyins', full_name='asrt.LanguageRequest.pinyins', index=0,
            number=1, type=9, cpp_type=9, label=3,
            has_default_value=False, default_value=[],
            message_type=None, enum_type=None, containing_type=None,
            is_extension=False, extension_scope=None,
            serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
    ],
    extensions=[
    ],
    nested_types=[],
    enum_types=[
    ],
    serialized_options=None,
    is_extendable=False,
    syntax='proto3',
    extension_ranges=[],
    oneofs=[
    ],
    serialized_start=154,
    serialized_end=188,
 )
 _TEXTRESPONSE = _descriptor.Descriptor(
    name='TextResponse',
    full_name='asrt.TextResponse',
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    create_key=_descriptor._internal_create_key,
    fields=[
        _descriptor.FieldDescriptor(
            name='status_code', full_name='asrt.TextResponse.status_code', index=0,
            number=1, type=5, cpp_type=1, label=1,
            has_default_value=False, default_value=0,
            message_type=None, enum_type=None, containing_type=None,
            is_extension=False, extension_scope=None,
            serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
        _descriptor.FieldDescriptor(
            name='status_message', full_name='asrt.TextResponse.status_message', index=1,
            number=2, type=9, cpp_type=9, label=1,
            has_default_value=False, default_value=b"".decode('utf-8'),
            message_type=None, enum_type=None, containing_type=None,
            is_extension=False, extension_scope=None,
            serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
        _descriptor.FieldDescriptor(
            name='text_result', full_name='asrt.TextResponse.text_result', index=2,
            number=3, type=9, cpp_type=9, label=1,
            has_default_value=False, default_value=b"".decode('utf-8'),
            message_type=None, enum_type=None, containing_type=None,
            is_extension=False, extension_scope=None,
            serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
    ],
    extensions=[
    ],
    nested_types=[],
    enum_types=[
    ],
    serialized_options=None,
    is_extendable=False,
    syntax='proto3',
    extension_ranges=[],
    oneofs=[
    ],
    serialized_start=190,
    serialized_end=270,
 )
 _WAVDATA = _descriptor.Descriptor(
    name='WavData',
    full_name='asrt.WavData',
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    create_key=_descriptor._internal_create_key,
    fields=[
        _descriptor.FieldDescriptor(
            name='samples', full_name='asrt.WavData.samples', index=0,
            number=1, type=12, cpp_type=9, label=1,
            has_default_value=False, default_value=b"",
            message_type=None, enum_type=None, containing_type=None,
            is_extension=False, extension_scope=None,
            serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
        _descriptor.FieldDescriptor(
            name='sample_rate', full_name='asrt.WavData.sample_rate', index=1,
            number=2, type=5, cpp_type=1, label=1,
            has_default_value=False, default_value=0,
            message_type=None, enum_type=None, containing_type=None,
            is_extension=False, extension_scope=None,
            serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
        _descriptor.FieldDescriptor(
            name='channels', full_name='asrt.WavData.channels', index=2,
            number=3, type=5, cpp_type=1, label=1,
            has_default_value=False, default_value=0,
            message_type=None, enum_type=None, containing_type=None,
            is_extension=False, extension_scope=None,
            serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
        _descriptor.FieldDescriptor(
            name='byte_width', full_name='asrt.WavData.byte_width', index=3,
            number=4, type=5, cpp_type=1, label=1,
            has_default_value=False, default_value=0,
            message_type=None, enum_type=None, containing_type=None,
            is_extension=False, extension_scope=None,
            serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key),
    ],
    extensions=[
    ],
    nested_types=[],
    enum_types=[
    ],
    serialized_options=None,
    is_extendable=False,
    syntax='proto3',
    extension_ranges=[],
    oneofs=[
    ],
    serialized_start=272,
    serialized_end=357,
 )
 _SPEECHREQUEST.fields_by_name['wav_data'].message_type = _WAVDATA
 DESCRIPTOR.message_types_by_name['SpeechRequest'] = _SPEECHREQUEST
 DESCRIPTOR.message_types_by_name['SpeechResponse'] = _SPEECHRESPONSE
 DESCRIPTOR.message_types_by_name['LanguageRequest'] = _LANGUAGEREQUEST
 DESCRIPTOR.message_types_by_name['TextResponse'] = _TEXTRESPONSE
 DESCRIPTOR.message_types_by_name['WavData'] = _WAVDATA
 _sym_db.RegisterFileDescriptor(DESCRIPTOR)
 SpeechRequest = _reflection.GeneratedProtocolMessageType('SpeechRequest', (_message.Message,), {
    'DESCRIPTOR': _SPEECHREQUEST,
    '__module__': 'asrt_pb2'
    # @@protoc_insertion_point(class_scope:asrt.SpeechRequest)
 })
 _sym_db.RegisterMessage(SpeechRequest)
 SpeechResponse = _reflection.GeneratedProtocolMessageType('SpeechResponse', (_message.Message,), {
    'DESCRIPTOR': _SPEECHRESPONSE,
    '__module__': 'asrt_pb2'
    # @@protoc_insertion_point(class_scope:asrt.SpeechResponse)
 })
 _sym_db.RegisterMessage(SpeechResponse)
 LanguageRequest = _reflection.GeneratedProtocolMessageType('LanguageRequest', (_message.Message,), {
    'DESCRIPTOR': _LANGUAGEREQUEST,
    '__module__': 'asrt_pb2'
    # @@protoc_insertion_point(class_scope:asrt.LanguageRequest)
 })
 _sym_db.RegisterMessage(LanguageRequest)
 TextResponse = _reflection.GeneratedProtocolMessageType('TextResponse', (_message.Message,), {
    'DESCRIPTOR': _TEXTRESPONSE,
    '__module__': 'asrt_pb2'
    # @@protoc_insertion_point(class_scope:asrt.TextResponse)
 })
 _sym_db.RegisterMessage(TextResponse)
 WavData = _reflection.GeneratedProtocolMessageType('WavData', (_message.Message,), {
    'DESCRIPTOR': _WAVDATA,
    '__module__': 'asrt_pb2'
    # @@protoc_insertion_point(class_scope:asrt.WavData)
 })
 _sym_db.RegisterMessage(WavData)
 _ASRTGRPCSERVICE = _descriptor.ServiceDescriptor(
    name='AsrtGrpcService',
    full_name='asrt.AsrtGrpcService',
    file=DESCRIPTOR,
    index=0,
    serialized_options=None,
    create_key=_descriptor._internal_create_key,
    serialized_start=360,
    serialized_end=596,
    methods=[
        _descriptor.MethodDescriptor(
            name='Speech',
            full_name='asrt.AsrtGrpcService.Speech',
            index=0,
            containing_service=None,
            input_type=_SPEECHREQUEST,
            output_type=_SPEECHRESPONSE,
            serialized_options=None,
            create_key=_descriptor._internal_create_key,
        ),
        _descriptor.MethodDescriptor(
            name='Language',
            full_name='asrt.AsrtGrpcService.Language',
            index=1,
            containing_service=None,
            input_type=_LANGUAGEREQUEST,
            output_type=_TEXTRESPONSE,
            serialized_options=None,
            create_key=_descriptor._internal_create_key,
        ),
        _descriptor.MethodDescriptor(
            name='All',
            full_name='asrt.AsrtGrpcService.All',
            index=2,
            containing_service=None,
            input_type=_SPEECHREQUEST,
            output_type=_TEXTRESPONSE,
            serialized_options=None,
            create_key=_descriptor._internal_create_key,
        ),
        _descriptor.MethodDescriptor(
            name='Stream',
            full_name='asrt.AsrtGrpcService.Stream',
            index=3,
            containing_service=None,
            input_type=_SPEECHREQUEST,
            output_type=_TEXTRESPONSE,
            serialized_options=None,
            create_key=_descriptor._internal_create_key,
        ),
    ])
 _sym_db.RegisterServiceDescriptor(_ASRTGRPCSERVICE)
 DESCRIPTOR.services_by_name['AsrtGrpcService'] = _ASRTGRPCSERVICE
 # @@protoc_insertion_point(module_scope)
--- a/assets/asrt_pb2_grpc.py
+++ b/assets/asrt_pb2_grpc.py
@ -0,0 +1,169 @@
 # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
 """Client and server classes corresponding to protobuf-defined services."""
 import grpc
 import assets.asrt_pb2 as asrt__pb2
 class AsrtGrpcServiceStub(object):
    """定义服务接口
    """
    def __init__(self, channel):
        """Constructor.
        Args:
            channel: A grpc.Channel.
        """
        self.Speech = channel.unary_unary(
            '/asrt.AsrtGrpcService/Speech',
            request_serializer=asrt__pb2.SpeechRequest.SerializeToString,
            response_deserializer=asrt__pb2.SpeechResponse.FromString,
        )
        self.Language = channel.unary_unary(
            '/asrt.AsrtGrpcService/Language',
            request_serializer=asrt__pb2.LanguageRequest.SerializeToString,
            response_deserializer=asrt__pb2.TextResponse.FromString,
        )
        self.All = channel.unary_unary(
            '/asrt.AsrtGrpcService/All',
            request_serializer=asrt__pb2.SpeechRequest.SerializeToString,
            response_deserializer=asrt__pb2.TextResponse.FromString,
        )
        self.Stream = channel.stream_stream(
            '/asrt.AsrtGrpcService/Stream',
            request_serializer=asrt__pb2.SpeechRequest.SerializeToString,
            response_deserializer=asrt__pb2.TextResponse.FromString,
        )
 class AsrtGrpcServiceServicer(object):
    """定义服务接口
    """
    def Speech(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')
    def Language(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')
    def All(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')
    def Stream(self, request_iterator, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')
 def add_AsrtGrpcServiceServicer_to_server(servicer, server):
    rpc_method_handlers = {
        'Speech': grpc.unary_unary_rpc_method_handler(
            servicer.Speech,
            request_deserializer=asrt__pb2.SpeechRequest.FromString,
            response_serializer=asrt__pb2.SpeechResponse.SerializeToString,
        ),
        'Language': grpc.unary_unary_rpc_method_handler(
            servicer.Language,
            request_deserializer=asrt__pb2.LanguageRequest.FromString,
            response_serializer=asrt__pb2.TextResponse.SerializeToString,
        ),
        'All': grpc.unary_unary_rpc_method_handler(
            servicer.All,
            request_deserializer=asrt__pb2.SpeechRequest.FromString,
            response_serializer=asrt__pb2.TextResponse.SerializeToString,
        ),
        'Stream': grpc.stream_stream_rpc_method_handler(
            servicer.Stream,
            request_deserializer=asrt__pb2.SpeechRequest.FromString,
            response_serializer=asrt__pb2.TextResponse.SerializeToString,
        ),
    }
    generic_handler = grpc.method_handlers_generic_handler(
        'asrt.AsrtGrpcService', rpc_method_handlers)
    server.add_generic_rpc_handlers((generic_handler,))
 # This class is part of an EXPERIMENTAL API.
 class AsrtGrpcService(object):
    """定义服务接口
    """
    @staticmethod
    def Speech(request,
               target,
               options=(),
               channel_credentials=None,
               call_credentials=None,
               insecure=False,
               compression=None,
               wait_for_ready=None,
               timeout=None,
               metadata=None):
        return grpc.experimental.unary_unary(request, target, '/asrt.AsrtGrpcService/Speech',
                                             asrt__pb2.SpeechRequest.SerializeToString,
                                             asrt__pb2.SpeechResponse.FromString,
                                             options, channel_credentials,
                                             insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
    @staticmethod
    def Language(request,
                 target,
                 options=(),
                 channel_credentials=None,
                 call_credentials=None,
                 insecure=False,
                 compression=None,
                 wait_for_ready=None,
                 timeout=None,
                 metadata=None):
        return grpc.experimental.unary_unary(request, target, '/asrt.AsrtGrpcService/Language',
                                             asrt__pb2.LanguageRequest.SerializeToString,
                                             asrt__pb2.TextResponse.FromString,
                                             options, channel_credentials,
                                             insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
    @staticmethod
    def All(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/asrt.AsrtGrpcService/All',
                                             asrt__pb2.SpeechRequest.SerializeToString,
                                             asrt__pb2.TextResponse.FromString,
                                             options, channel_credentials,
                                             insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
    @staticmethod
    def Stream(request_iterator,
               target,
               options=(),
               channel_credentials=None,
               call_credentials=None,
               insecure=False,
               compression=None,
               wait_for_ready=None,
               timeout=None,
               metadata=None):
        return grpc.experimental.stream_stream(request_iterator, target, '/asrt.AsrtGrpcService/Stream',
                                               asrt__pb2.SpeechRequest.SerializeToString,
                                               asrt__pb2.TextResponse.FromString,
                                               options, channel_credentials,
                                               insecure, call_credentials, compression, wait_for_ready, timeout,
                                               metadata)
--- a/assets/default.html
+++ b/assets/default.html
@ -0,0 +1,25 @@
 <!DOCTYPE html>
 <html>
 	<head>
 		<meta charset="utf-8">
 		<title>ASRT Speech Recognition API</title>
 		<style>
 		body {
 			width: 35em;
 			margin: 0 auto;
 			font-family: Tahoma, Verdana, Arial, sans-serif;
    	}
 		</style>
 	</head>
 	<body>
 		<h1>ASRT Speech Recognition API</h1>
 		<h3>framework version: 1.0</h3>
 		<p>If you see this page, the ASRT api server is successfully installed and working. </p>
 		<p>For online documentation and support please refer to <a href="https://asrt.ailemon.net">ASRT Project Page</a>.</p>
 		<p>Please call this web api by post menthod. </p>
 		<em>Thank you for using ASRT.</em>
 		<footer>
 			<p style="text-align: center;">Copyright © <a href="https://www.ailemon.net">ailemon.net</a></p>
 		</footer>
 	</body>
 </html>
--- a/client_grpc.py
+++ b/client_grpc.py
@ -0,0 +1,124 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 #
 # Copyright 2016-2099 Ailemon.net
 #
 # This file is part of ASRT Speech Recognition Tool.
 #
 # ASRT is free software: you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
 # the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 # ASRT is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU General Public License for more details.
 #
 # You should have received a copy of the GNU General Public License
 # along with ASRT.  If not, see <https://www.gnu.org/licenses/>.
 # ============================================================================
 """
@author: nl8590687
 ASRT语音识别asrserver grpc协议测试专用客户端
 """
 import grpc
 import time
 from assets.asrt_pb2_grpc import AsrtGrpcServiceStub
 from assets.asrt_pb2 import SpeechRequest, LanguageRequest, WavData
 from utils.ops import read_wav_bytes
 def run_speech():
    """
    请求ASRT服务Speech方法
    :return:
    """
    conn = grpc.insecure_channel('127.0.0.1:20002')
    client = AsrtGrpcServiceStub(channel=conn)
    wav_bytes, sample_rate, channels, sample_width = read_wav_bytes('assets/A11_0.wav')
    print('sample_width:', sample_width)
    wav_data = WavData(samples=wav_bytes, sample_rate=sample_rate,
                       channels=channels, byte_width=sample_width)
    request = SpeechRequest(wav_data=wav_data)
    time_stamp0 = time.time()
    response = client.Speech(request)
    time_stamp1 = time.time()
    print('time:', time_stamp1 - time_stamp0, 's')
    print("received:", response.result_data)
 def run_lan():
    """
    请求ASRT服务Language方法
    :return:
    """
    conn = grpc.insecure_channel('127.0.0.1:20002')
    client = AsrtGrpcServiceStub(channel=conn)
    pinyin_data = ['ni3', 'hao3', 'ya5']
    request = LanguageRequest(pinyins=pinyin_data)
    time_stamp0 = time.time()
    response = client.Language(request)
    time_stamp1 = time.time()
    print('time:', time_stamp1 - time_stamp0, 's')
    print("received:", response.text_result)
 def run_all():
    """
    请求ASRT服务All方法
    :return:
    """
    conn = grpc.insecure_channel('127.0.0.1:20002')
    client = AsrtGrpcServiceStub(channel=conn)
    wav_bytes, sample_rate, channels, sample_width = read_wav_bytes('assets/A11_0.wav')
    print('sample_width:', sample_width)
    wav_data = WavData(samples=wav_bytes, sample_rate=sample_rate,
                       channels=channels, byte_width=sample_width)
    request = SpeechRequest(wav_data=wav_data)
    time_stamp0 = time.time()
    response = client.All(request)
    time_stamp1 = time.time()
    print("received:", response.text_result)
    print('time:', time_stamp1 - time_stamp0, 's')
 def run_stream():
    """
    请求ASRT服务Stream方法
    :return:
    """
    conn = grpc.insecure_channel('127.0.0.1:20002')
    client = AsrtGrpcServiceStub(channel=conn)
    wav_bytes, sample_rate, channels, sample_width = read_wav_bytes('assets/A11_0.wav')
    print('sample_width:', sample_width)
    wav_data = WavData(samples=wav_bytes, sample_rate=sample_rate,
                       channels=channels, byte_width=sample_width)
    # 先制造一些客户端能发送的数据
    def make_some_data():
        for _ in range(1):
            time.sleep(1)
            yield SpeechRequest(wav_data=wav_data)
    try:
        status_response = client.Stream(make_some_data())
        for ret in status_response:
            print("received:", ret.text_result, " , status:", ret.status_code)
            time.sleep(0.1)
    except Exception as any_exception:
        print(f'err in send_status:{any_exception}')
        return
 if __name__ == '__main__':
    # run_all()
    run_stream()
--- a/client_http.py
+++ b/client_http.py
@ -0,0 +1,49 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 #
 # Copyright 2016-2099 Ailemon.net
 #
 # This file is part of ASRT Speech Recognition Tool.
 #
 # ASRT is free software: you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
 # the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 # ASRT is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU General Public License for more details.
 #
 # You should have received a copy of the GNU General Public License
 # along with ASRT.  If not, see <https://www.gnu.org/licenses/>.
 # ============================================================================
 '''
@author: nl8590687
 ASRT语音识别asrserver http协议测试专用客户端
 '''
 import base64
 import json
 import time
 import requests
 from utils.ops import read_wav_bytes
 URL = 'http://127.0.0.1:20001/all'
 wav_bytes, sample_rate, channels, sample_width = read_wav_bytes('assets/A11_0.wav')
 datas = {
    'channels': channels,
    'sample_rate': sample_rate,
    'byte_width': sample_width,
    'samples': str(base64.urlsafe_b64encode(wav_bytes), encoding='utf-8')
 }
 headers = {'Content-Type': 'application/json'}
 t0=time.time()
 r = requests.post(URL, headers=headers, data=json.dumps(datas))
 t1=time.time()
 r.encoding='utf-8'
 result = json.loads(r.text)
 print(result)
 print('time:', t1-t0, 's')
--- a/data_loader.py
+++ b/data_loader.py
@ -0,0 +1,102 @@
 # !/usr/bin/env python3
 # -*- coding: utf-8 -*-
 #
 # Copyright 2016-2099 Ailemon.net
 #
 # This file is part of ASRT Speech Recognition Tool.
 #
 # ASRT is free software: you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
 # the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 # ASRT is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU General Public License for more details.
 #
 # You should have received a copy of the GNU General Public License
 # along with ASRT.  If not, see <https://www.gnu.org/licenses/>.
 # ============================================================================
 """
@author: nl8590687
 加载语音数据集用的数据加载器的定义
 """
 import os
 import random
 import numpy as np
 from utils.config import load_config_file, DEFAULT_CONFIG_FILENAME, load_pinyin_dict
 from utils.ops import read_wav_data
 class DataLoader:
    """
    数据加载器
    参数：\\
        config: 配置信息字典
        dataset_type: 要加载的数据集类型，包含('train', 'dev', 'test')三种
    """
    def __init__(self, dataset_type:str):
        self.dataset_type = dataset_type
        self.data_list = list()
        self.wav_dict = dict()
        self.label_dict = dict()
        self.pinyin_list = list()
        self.pinyin_dict = dict()
        self._load_data()
    def _load_data(self):
        config = load_config_file(DEFAULT_CONFIG_FILENAME)
        self.pinyin_list, self.pinyin_dict = load_pinyin_dict(config['dict_filename'])
        for index in range(len(config['dataset'][self.dataset_type])):
            filename_datalist = config['dataset'][self.dataset_type][index]['data_list']
            filename_datapath = config['dataset'][self.dataset_type][index]['data_path']
            with open(filename_datalist, 'r', encoding='utf-8') as file_pointer:
                lines = file_pointer.read().split('\n')
                for line in lines:
                    if len(line) == 0:
                        continue
                    tokens = line.split(' ')
                    self.data_list.append(tokens[0])
                    self.wav_dict[tokens[0]] = os.path.join(filename_datapath, tokens[1])
            filename_labellist = config['dataset'][self.dataset_type][index]['label_list']
            with open(filename_labellist, 'r', encoding='utf-8') as file_pointer:
                lines = file_pointer.read().split('\n')
                for line in lines:
                    if len(line) == 0:
                        continue
                    tokens = line.split(' ')
                    self.label_dict[tokens[0]] = tokens[1:]
    def get_data_count(self) -> int:
        """
        获取数据集总数量
        """
        return len(self.data_list)
    def get_data(self, index: int) -> tuple:
        """
        按下标获取一条数据
        """
        mark = self.data_list[index]
        wav_signal, sample_rate, _, _ = read_wav_data(self.wav_dict[mark])
        labels = list()
        for item in self.label_dict[mark]:
            if len(item) == 0:
                continue
            labels.append(self.pinyin_dict[item])
        data_label = np.array(labels)
        return wav_signal, sample_rate, data_label
    def shuffle(self) -> None:
        """
        随机打乱数据
        """
        random.shuffle(self.data_list)
--- a/datalist/st-cmds/dev.syllable.txt
+++ b/datalist/st-cmds/dev.syllable.txt
@ -0,0 +1,600 @@
 20170001P00142A0070 mei2 qian2 yi1 fen1 qian2 mei2 you3 lao3 yue1 han4 ka3 li3
 20170001P00196A0072 jiu4 shi4 gan3 jue2 la5 jin1 tian1 he2 xue3 qin2 gei3 wo3 da3 dian4 hua4
 20170001P00337A0004 gao1 zhong1 er4 ban1 du2 ning2 da4 de5 xue1 rui4 qiu1
 20170001P00148I0088 piao1 xue3 ni3 zen3 me5 tui4 chu1 qun2 le5 ne5
 20170001P00131I0047 ling4 wai4 jiu4 jie1 ge4 wen3 shen2 me5 de5 mo1 mo1 er2 yi3
 20170001P00368I0013 wo3 gei3 ni3 wen4 wen4 yun2 xia2 ba5
 20170001P00367A0059 jin1 yin2 cai2 bao3 san1 ge4 ye2 hai2 you3 ge4 di4 di5 jiao4 jun1 bao3
 20170001P00213A0115 na4 ni2 yu4 lin2 shou3 ji1 duo1 shao3 wen4 wen4 ni3 shi4 zai4 shua3 wo3
 20170001P00035I0069 ni3 ken3 ding4 jiu4 shi4 fu4 weng1 le5
 20170001P00267I0078 ba1 dian3 ban4 qi3 chuang2 shua1 ya2 xi3 lian3
 20170001P00344I0013 wo3 ling4 yi2 ge4 qun2 gei3 de5 zhi2 bo1 di4 zhi3
 20170001P00027I0050 hai2 juan1 qian2 gei3 long2 ya3 ren2
 20170001P00090A0025 dai4 ni3 qu4 ri4 yue4 guang1 dou1 yi1 quan1
 20170001P00262A0029 bao3 ju4 qi2 shi4 jing1 shen2 bu4 yun3 xu3 wo3 hou4 tui4 o2
 20170001P00316A0080 ni3 kan4 na4 li3 mian4 you3 lan2 ya2 er3 ji1 ma5
 20170001P00206A0047 mei2 zen3 me5 jiu4 shi4 wen4 yi1 xia4 hao3 hao3 shang4 ke4 sha3 fei2 zhu1
 20170001P00350A0027 da4 er2 zi5 yong3 yuan3 dou1 zai4 tiao3 bo1
 20170001P00325I0013 ni3 zi1 xun2 de5 shi4 qing1 hua1 ci2 chen4 shan1 ma5
 20170001P00071A0011 shuang1 shi2 yi1 zhi1 hou4 fan3 zheng4 shi4 ge4 zhong3 qiong2 o1
 20170001P00091I0112 ping2 gai4 xu1 yao4 de5 hua4 mian4 shi4 xiao3 yuan2 quan1 nei4 de5 hua4 mian4
 20170001P00091I0117 hao3 huai2 nian4 yi3 qian2 neng2 da3 qiu2 de5 ri4 zi5 a5
 20170001P00353I0057 wo3 zhe4 zhou1 wu3 huo4 zhe3 zhou1 liu4 jiu4 zou3 le5
 20170001P00085I0047 gei3 ni3 kan4 kan4 qing1 yun2 xiong2
 20170001P00020I0017 ta1 za3 lian2 zhe4 ge4 dou1 dao4 chu4 xuan1 yang2 ta1 shen2 me5 yi4 si1
 20170001P00120I0087 qu4 zhe4 jiang1 yong3 kang1 diao4 ji1 shou1 dao4 huo4 kuan3
 20170001P00079I0087 wo3 qu4 zhao3 shi1 xiong1 gai4 de5
 20170001P00329I0114 jia1 shang4 weng1 de2 li4 ta1 shi4 bu2 shi4 mei2 zai4 xian4
 20170001P00078A0003 tao2 yuan1 ming2 na4 pian4 yuan4 zi5
 20170001P00189A0089 huang2 ya3 xuan1 ta1 dan1 shen1 ma5 wen4 wo3 gao4 su4 ni3 qu4 wen4
 20170001P00199A0096 ke3 yi3 kan1 cheng1 pi3 pei4 zhang3 sheng4 jiang1 jun1 sha2 dou1 bu2 hui4 le5
 20170001P00183A0046 fu4 gu3 hei1 xue3 fang3 zhang3 qun2 liang3 se4
 20170001P00088A0044 bai3 wan4 fu4 weng1 na4 bian1 hui4 sheng1 zhi2 de5
 20170001P00049A0027 er2 qie3 shang4 ci4 wo3 kan4 dao4 ni3 ma1 ma1 jue2 de5 ta1 hao3 xiong1
 20170001P00065I0104 ri4 qian2 shang4 bao4 qu1 min2 zheng4 ju2 ci2 shan4 hui4
 20170001P00351A0105 ni3 qi1 pian4 gao1 yi1 jun1 gan3 qing2 a5 chun1 meng4 gan4 ma5 a5
 20170001P00032A0033 wo3 qu4 yi1 yuan4 zuo4 he2 ci2 gong4 zhen4
 20170001P00117A0041 bu4 xiang3 gen1 qun2 li3 xiong1 di4 tan2 qian2
 20170001P00256A0119 hai2 pian4 ren2 shuo1 shen2 me5 du4 min2 jun1 jiao4 shou4 shen2 me5 de5
 20170001P00332A0085 ting1 shuo1 ni3 xiang3 guo4 lai2 shua3 shen2 me5 shi2 hou4 lai2
 20170001P00378I0018 wo3 zhe4 ren2 ke3 neng2 jiu4 shi4 tian1 sheng1 re3 ren2 tao3 yan4 de5 ren2
 20170001P00363A0098 dou1 zhi1 dao4 gang1 hua4 jia1 jiao1 bo1 li5 de5 biao1 zhun3
 20170001P00135A0017 qing3 ge4 wei4 quan1 zhang3 zheng3 li3 zi1 liao4 zhun3 shi2 can1 jia1
 20170001P00384I0058 qin1 jie3 yong3 yuan3 kuai4 le4 yong3 yuan3 er4 shi2 ba1 sui4
 20170001P00114A0072 ming2 ming2 sheng1 qi4 a5 er2 qie3 hai2 xiong1 le5
 20170001P00119A0034 shi4 tai4 que1 fa2 yun4 dong4 le5 ni3 sheng1 ri4
 20170001P00148I0096 na4 pian1 ri4 zhi4 shi4 xie3 gei3 ma3 jun1 yu3 de5
 20170001P00163I0041 ni3 yuan4 yi4 yao1 yue1 yi2 ge4 nan2 de5 guo4 lai2
 20170001P00005I0116 zhun3 bu4 zhun3 bei4 huo2 dong4 dou1 gen1 zhao4 shi1 xiong1 hui2 ge4 hua4
 20170001P00349A0065 zai4 qun2 nei4 jin4 zhi3 xuan1 chuan2
 20170001P00316I0061 dou1 bu4 neng2 zuo4 xue2 xiao4 you2 yong3 ka3 le5
 20170001P00007A0092 er2 qie3 hai2 shi4 ge4 gua3 fu4
 20170001P00036I0112 wo3 hai2 shi4 xi3 huan1 pi2 ka3 qiu1
 20170001P00172I0102 qu4 ri4 ben3 liu1 da2 quan1 qu4 ba5
 20170001P00377I0038 rao2 shi4 sha1 man4 di4 guo2 wen2 ming2 xia2 er3 de5 zhong4 xun2 yang2 jian4
 20170001P00347A0048 jian3 fei2 li3 ying2 jun1 xun4 jiu4 ke3 yi3 le5 wo3 wei4 shen2 me5
 20170001P00117A0022 ni3 men5 zhun3 bei4 wan2 er2 dao4 ji3 dian3
 20170001P00269A0096 peng2 you3 ming2 zi4 fan4 jun1 yan4 gao1 er4 wo3 shuo1
 20170001P00371I0083 san1 shan1 qu1 wei3 xuan1 chuan2 bu4
 20170001P00200I0062 ni3 za3 re3 wo3 jia1 lao3 er4 le5 a5
 20170001P00274I0105 wo3 men5 pai4 jian4 er2 huang2 gang1 bu4 bao1 kuo4 er4 ji2 zhan4 dian3 jiu4
 20170001P00209A0013 mu4 ce4 ni3 huai2 le5 ni3 dou1 kuang2 tu3 bu4 zhi3 le5 qin1 ai4 de5
 20170001P00285I0030 qin1 shi4 shang4 shen1 gen1 xia4 shen1 jun1 yun2 de5 shi4 ma5
 20170001P00018A0052 ni3 zhe4 bu4 shi4 yuan1 wang3 hao3 ren2 ne5 ma5
 20170001P00254I0087 wo3 jiu4 guai1 dian3 gun3 dan4 ma5
 20170001P00334I0074 jie2 guo3 yi1 qun2 ren2 du3 zai4 guai3 jiao3 chu4
 20170001P00105I0055 ri4 zhao4 zi3 yu4 xuan1 dian4 hua4
 20170001P00057I0093 bang1 wo3 yue1 zou1 jia1 yun2 he2 wo3 qu4 ya5
 20170001P00306I0069 ni3 shen2 me5 shi2 hou4 ke3 yi3 ci2 zhi2 pi1 zhun3 ya5
 20170001P00214A0013 neng2 ba3 bian4 cha1 zhu1 yu4 shao3 yi1 ren2 de5 ge1 ci2 gei3 wo3 ma5
 20170001P00068A0082 ba3 xiang1 tan2 ji3 jia1 yi1 yuan4 mo1 qing1 chu3
 20170001P00263I0068 huang2 jiao4 zhu3 de5 mou3 shou3 ge1 li3 you3 zhe4 ju4 ge1 ci2
 20170001P00251A0083 gao1 shou3 chu2 le5 da3 ma2 jiang1 xin1 you3 ling2 xi1 wo3 bu2 hui4
 20170001P00263I0019 ni3 hai2 bu2 shi4 yao4 gen1 zhe5 wo3 guo4 qiong2 ri4 zi5
 20170001P00124I0029 wo3 zao3 jiu4 bu4 wan2 wai1 wai1 le5 xian4 zai4 wan2 wei1 bo2
 20170001P00428A0075 mei3 nian2 dou1 yao4 jun1 xun4 jin1 nian2 dou1 di4 er4 nian2 le5
 20170001P00430A0042 mei3 du4 de5 qu4 le5 ai1 kang1 jia1 ye3 shi4
 20170001P00431A0078 dao4 du1 jiang1 yan4 tai4 gui4 xue2 sheng1 xiao1 fei4 bu4 qi3
 20170001P00360A0015 ran2 hou4 ta1 jiu4 shuo1 yao4 ci2 zhi2 ran2 hou4 wo3 men5 jiu4 quan4 ta1
 20170001P00430A0040 zai4 huang2 hua2 you3 ge4 an4 zi5 qian2 ji3 tian1 gang1 hui2 lai2
 20170001P00332I0105 ni3 jin4 la5 xiong2 yue4 de5 qun2 bo1
 20170001P00274A0103 wan2 er2 de5 shen2 me5 yi1 tian1 tian1 de5 yang2 yan2 jun1 zai4 na3 ne5
 20170001P00085I0085 wo3 kan4 dao4 le5 xin1 ji4 sheng1 ren2 tan2 xue3 tan4 xun2
 20170001P00383I0017 qian2 liang3 tian1 hai2 ting1 bie2 ren2 shuo1 ni3 zai4 yun2 nan2
 20170001P00204I0117 ni3 men5 zhun3 bei4 zai4 na3 li3 wan2 ne5
 20170001P00222A0016 ni3 shuo1 nei4 xie1 wa2 wa2 shi4 ni3 he2 qun2 li3 de5 nv3 de5 de5
 20170001P00395I0117 ni3 men5 dian4 you3 xue3 fang3 hei1 duan3 qun2 ma5
 20170001P00430A0102 bu4 neng2 yun3 xu3 fan3 hui3 ma5
 20170001P00368I0039 ni3 dou1 yuan4 yi4 le5 wo3 she3 ming4 pei2 jun1 zi5 ei2
 20170001P00088I0016 huang2 jian4 xiang2 hai2 hui4 kua1 xi1 ban1 ya2 ya5
 20170001P00352I0024 lv3 you2 zhe3 ping2 jun1 zai4 chuan1 dou4 liu2 tian1 shu4
 20170001P00143A0040 gang1 ci2 zhi2 shi4 a5 tian1 cheng2 guang3 gao4 zuo4 guang3 gao4 le5
 20170001P00141A0107 mai3 ying1 xiong2 wo3 hao4 li3 hao3 xiang4 hai2 you3 dian3 quan4
 20170001P00043A0085 ru2 guo3 huang2 jun1 zhen1 de5 zhi3 shi4 wo3 xiang3 wo3 xiang3 de5 zhe4 yang4
 20170001P00035I0105 wo3 zai4 kan4 wo3 men5 jun1 xun4 qun2 li3 liao2 tian1
 20170001P00325I0022 mai3 le5 hao3 duo1 shu1 wo3 ka3 li3 jiu4 qiong2 le5
 20170001P00007A0080 wen4 ti2 jiu4 zai4 yu2 zhang1 shu4 jun1 zhe4 song3 mu4 de2 hen3
 20170001P00406A0033 shi4 yin1 wei4 yang2 xiong2 cai2 che3 qi3 de5
 20170001P00062A0108 er2 qie3 wo3 hui2 da2 wen4 ti2 ye3 xiang4 zhou1 yi2 jun1 na4 yang4
 20170001P00280A0064 qu4 ba5 fu2 hai3 wu2 ya2 lao3 na4 fa3 hao4 li3 qing1
 20170001P00237I0106 wang2 yun2 xia2 gong1 hui4 zhu3 xi2
 20170001P00217A0109 ni3 ge4 diao3 si1 xie3 de5 hao3 wen2 yi4 yu2 ben3 lai2 hui4 you2 yong3
 20170001P00165A0106 zhe4 zhong3 long2 wo3 ji4 de5 you2 xia2 hao4 shang4 ye3 you3
 20170001P00030A0109 li3 yue4 jiu4 zai4 xuan1 xuan1 de5 qun2 le5
 20170001P00091A0043 na4 wo3 jiu4 yong4 na4 ge4 yun3 shi2 hai2 de5
 20170001P00032A0012 wo3 yuan4 de5 te4 se4 zheng3 xing2 xiang4 mu4 jiu4 shi4 zhi1 fang2 long2 xiong1
 20170001P00354I0108 wo3 yao4 shang4 lai2 gai4 ge4 zhang1
 20170001P00107I0002 tu2 shu1 guan3 zhi3 sheng4 xia4 wo3 men5 xue2 yuan4 de5 wa2 er2 le5
 20170001P00192I0062 ri4 ben3 you3 ren2 song4 xue3 zhang4
 20170001P00277A0001 na4 shi4 wo3 de5 zhuan1 you3 ming2 ci2 mao2 xian4 ni3 wen4
 20170001P00389I0103 xin1 xiang1 san1 quan1 yi1 xue2 yuan4 quan2
 20170001P00354I0041 ni3 qu4 hai2 shi4 huang2 xiong1 qu4
 20170001P00324I0108 dou1 shi4 che3 dan4 wan2 wan2 er2 jiu4 shuai3
 20170001P00116A0021 huai2 yu4 ba3 shou3 zhi3 yong4 dao1 zhe2 le5 xian4 zai4 zhu4 yuan4 ne5
 20170001P00365I0019 ni3 chuan1 duan3 qun2 di4 xiong1 wo3 jiu4 chuan1
 20170001P00175A0093 bie2 de5 ren2 mo1 ni3 xiong1 de5 shi2 hou4
 20170001P00166I0071 ni3 zhun3 bei4 ba3 ta1 men5 shuai3 dao4 yi1 bian1 zi4 ji3 wan2 a5
 20170001P00025A0004 ni3 pei2 wo3 you2 shan1 wan2 shui3 qu4 da4 shi1 xiong1 ni3 zen3 me5 le5
 20170001P00396A0077 wo3 gei3 ni3 shi2 jian1 ye3 yun3 xu3 ni3 nan2 guo4
 20170001P00073A0026 ke3 chuan1 sha1 qun2 hao3 you2 yong3 ma5
 20170001P00343I0112 wo3 men5 zai4 si4 hui4 ci2 yun2 si4
 20170001P00352A0067 bao3 bei4 zhe4 xie1 ci2 yong4 de5 shou3 dao4 qin2 lai2
 20170001P00244I0108 ren2 de5 xuan3 ze2 yong3 yuan3 dou1 nan2 yi3 que4 ding4
 20170001P00317A0098 ni3 pei2 xie4 jia1 jiu4 ke3 yi3 la5 xie4 xie4 ge1
 20170001P00109A0022 ran2 hou4 zai4 rang4 lao3 gong1 wen4 yun3 bu4 yun3 xu3
 20170001P00315A0104 ni3 bie2 zai4 hu1 you1 qun2 li3 de5 xiong1 di4 le5
 20170001P00031I0018 jiu4 shi4 gong1 si1 zai4 zhe4 fang1 mian4 que1 fa2 xiang1 guan1 de5 biao1 zhun3
 20170001P00050I0111 wo3 jue2 de5 si4 yuan4 de5 da2 bian4 ci2 man2 you3 yi4 si1 de5
 20170001P00249A0002 er4 wa2 zhu4 yi4 yu3 ju4 hai2 mei2 you3 chu1 lai2 hao3 re4 o2
 20170001P00268I0076 bing4 qie3 shang4 mian4 de5 qi4 pao4 ye3 shi4 fei1 chang2 jun1 yun2 de5
 20170001P00234A0020 ta1 men5 qi1 fu4 wo3 wo3 mei2 you3 a5 wo3 yuan1 wang3 a5
 20170001P00205I0040 zai4 wu3 ning2 lu2 ya2 shan1 you2 lan3
 20170001P00262I0089 nv3 wa2 er2 shuo1 yao4 wen1 ya3 dian3
 20170001P00201I0107 kan4 she4 diao1 ying1 xiong2 chuan2 dou1 ka3
 20170001P00018I0056 wo3 kuai4 ao2 guo4 zhu4 yuan4 ni3 wa2 shi4 na3 tian1 lai2 de5
 20170001P00028A0110 qi3 chuang2 ne5 wo3 jin1 tian1 gen1 peng2 you3 yue1 le5
 20170001P00366I0018 wo3 yong4 jia1 qian2 ba3 ka3 huang2 wang3 zhong1 jian1 ban1 le5 ban1
 20170001P00065I0064 san1 tai2 de5 yi1 yuan4 tai4 lan4 le5
 20170001P00332I0053 wan4 ren2 ci4 ri4 jun1 ren2 liu2 liang4
 20170001P00002A0057 bu4 deng3 yu2 ta1 bu4 cun2 zai4 zao3 wan3 de5 shi4 ni3 yong3 yuan3 ba5
 20170001P00038A0001 ni3 yuan4 yi4 zuo4 wo3 de5 mei3 ren2 yu2 yong3 bu4 pi1 tui3 ma5
 20170001P00364I0119 wo3 yi3 wei2 na4 wa2 yao4 he2 ni3 qun2 cai3
 20170001P00239I0067 wo3 men5 bu4 zai4 qun2 wai1 wai1
 20170001P00339I0053 wo3 yao4 kan4 kan4 ni3 hai2 neng2 che3 chu1 shen2 me5 hua4 ti2 a5
 20170001P00323I0116 ni3 dong3 de5 ba5 zui4 jia1 sun3 you3 wo3 hen3 xi3 huan1 ting1 ne5
 20170001P00144A0003 ni3 zhe4 li3 you3 qu4 nian2 yi1 ri4 juan1 de5 ge4 ren2 ji4 lu4 ma5
 20170001P00353I0052 wo3 zhi3 hui4 wan2 er2 xuan4 wu3 he2 mo2 er3 zhuang1 yuan2
 20170001P00010A0034 bo1 bo1 xuan1 xuan1 zhi4 jing4
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--- a/datalist/st-cmds/test.syllable.txt
+++ b/datalist/st-cmds/test.syllable.txt
--- a/datalist/st-cmds/test.wav.txt
+++ b/datalist/st-cmds/test.wav.txt
--- a/datalist/st-cmds/train.syllable.txt
+++ b/datalist/st-cmds/train.syllable.txt
--- a/datalist/st-cmds/train.wav.txt
+++ b/datalist/st-cmds/train.wav.txt
--- a/datalist/thchs30/cv.syllable.txt
+++ b/datalist/thchs30/cv.syllable.txt
@ -0,0 +1,893 @@
 A11_101 qi1 shi2 nian2 dai4 mo4 wo3 wai4 chu1 qiu2 xue2 mu3 qin1 ding1 ning2 wo3 chi1 fan4 yao4 xi4 jiao2 man4 yan4 xue2 xi2 yao4 shen1 zuan1 xi4 yan2 
 A11_119 chen2 yun2 tong2 zhi4 tong2 shi2 yao1 qiu2 gan4 bu5 ren4 zhen1 xue2 xi2 ye4 wu4 jing1 tong1 ye4 wu4 xiang4 yi2 qie4 ye4 wu4 nei4 hang2 ren2 xue2 xi2 
 A11_124 ling4 wai4 nv3 dan1 zhong1 guo2 dui4 hai2 you3 han2 jing1 na4 he2 yao2 yan4 ao4 yun4 pai2 ming2 di4 liu4 qi1 wei4 ye3 ke3 yu3 gao1 shou3 yi1 bo2 
 A11_132 de2 dao4 li3 gong1 pu3 e4 hao4 wen2 yi1 duo1 nu4 fen4 tian2 ying1 pai1 an4 er2 qi3 nu4 chi4 fan3 dong4 pai4 bei1 bi3 wu2 chi3 
 A11_170 ju4 yin4 du4 guan1 yuan2 tou4 lu4 shuang1 fang1 tao3 lun4 le5 yin4 du4 kong4 zhi5 de5 ke4 shi2 mi2 er3 di4 qu1 mu4 qian2 de5 jin3 zhang1 ju2 shi4 wen4 ti2 
 A11_173 yuan2 chan3 ou1 zhou1 de5 wu4 wang4 cao3 qi2 mao4 bu4 yang2 dan4 ming2 wen2 ou1 ya4 su2 cheng1 wu4 wang4 wo3 huo4 wu2 wang4 wo3 
 A11_180 liu2 xiao3 guang1 jiu3 duan4 yu3 wang2 lei3 liu4 duan4 zhi1 zhan4 zui4 wei2 ji1 lie4 ye3 shi4 zui4 wan3 jie2 shu4 de5 yi1 pan2 qi2 gong4 xia4 le5 er4 bai3 wu3 shi2 wu3 shou3 
 A11_189 gen1 ju4 cun1 gui1 min2 yue1 ou1 da3 nve4 dai5 lao3 ren2 de5 wang2 mou3 er2 xi2 bei4 chu4 er4 bai3 yuan2 fa2 kuan3 bing4 jiao1 yi1 liao2 fei4 wu2 bai3 yuan2 
 A11_191 dang1 chuan2 wang3 xia4 piao1 shi2 bai2 chun2 lu4 yang2 qi3 si4 ti2 zai4 an4 bian1 zhui1 sui2 hao3 xiang4 shi4 song4 xing2 yi4 zhi2 pao3 le5 shi2 ji3 li3 tai4 qin1 qie4 le5 
 A11_203 kai1 luan2 kuang4 wu4 ju2 hou4 lv3 jia1 tuo2 kuang4 zhang1 wen2 you3 zhang1 wen2 fu4 liang3 xiong1 di4 tong2 chao1 chan3 tong2 li4 gong1 tong2 dang1 lao2 dong4 mo2 fan4 
 A11_230 ying2 ye4 xing4 yan3 chu1 chang2 suo3 he2 ying2 ye4 xing4 dian4 ying3 fang4 ying4 chang2 suo3 zhuan3 ye4 huo4 che4 xiao1 bi4 xu1 jing1 shi4 wen2 hua4 ju2 huo4 shi4 dian4 ying3 ju2 shen3 pi1 
 A11_24 zai4 ge4 lei4 huo4 bi4 chou2 kuan3 zhong1 ou1 zhou1 huo4 bi4 dan1 wei4 chou2 kuan3 yi3 ju1 shou3 wei4 zhan4 chou2 kuan3 zong3 e2 de5 bai3 fen1 zhi1 er4 shi2 
 A11_39 fou3 ze2 guang1 you3 chan3 liang4 xiao1 bu4 chu1 qu4 ku4 cun2 yue4 lai2 yue4 duo1 wai4 qian4 huo4 kuan3 yue4 lai2 yue4 duo1 liu2 dong4 zi1 jin1 jiu4 hui4 yue4 lai2 yue4 shao3 
 A11_51 lv3 yu3 you2 de5 shi2 jian1 bi3 wang3 wang3 lv2 chang2 you2 duan3 yu3 you2 ke4 de5 yuan4 wang5 xiang1 bei4 
 A11_56 ju4 shuo1 mu3 qin1 sheng1 xia4 mei2 yi4 nian2 gong1 fu5 ran3 shang4 le5 yi1 zhong3 guai4 bing4 bu4 chi1 bu4 he1 luan4 ku1 luan4 nao4 ji2 de5 wai4 po2 man3 shan1 bian4 ye3 qu4 zhao3 cao3 yao4 lai2 qu1 gui3 
 A11_60 dou4 fu5 nao3 pin3 chang2 guo4 le5 na4 fang1 fang1 zheng4 zheng4 bai2 bai2 nen4 nen4 de5 dou4 fu5 kuai4 er5 chi1 guo4 hou4 man2 kou3 yu2 xiang1 
 A11_77 yi1 jiu3 jiu2 wu3 nian2 yi1 yue4 wen1 zhou1 shi4 wei3 fu4 mi4 shu1 zhang3 weng1 jin3 wu3 lai2 jie1 ren4 ou1 hai3 qu1 wei3 shu1 ji5 
 A11_81 ying4 gu3 tou5 liu4 lian2 li4 ren4 zhu2 guan3 zhan4 dou4 ying1 xiong2 he2 zhuan3 ye4 tui4 wu3 gan4 bu5 zhan4 shi4 dai4 biao3 ying4 yao1 zuo4 zai4 jia1 bin1 xi2 shang4 
 A12_10 pao4 yan3 da2 hao3 le5 zha4 yao4 zen3 me5 zhuang1 yue4 zheng4 cai2 yao3 le5 yao3 ya2 shu1 de5 tuo1 qu4 yi1 fu5 guang1 bang3 zi5 chong1 jin4 le5 shui3 cuan4 dong4 
 A12_115 ma3 xiao3 nian2 zuo4 hua4 de5 te4 zheng1 yu3 shen2 yun4 qi2 hua4 feng1 qu1 bie2 yu2 wen2 ren2 hua4 he2 nian2 hua4 ke3 wei4 ya3 su2 gong4 shang3 
 A12_137 bu2 qi4 ya3 bu4 bi4 su2 hua4 su2 wei2 ya3 hua4 ya3 wei2 su2 su2 bu4 shang1 ya3 ya3 su2 gong4 shang3 
 A12_138 jing1 guo5 shang4 shang4 xia4 xia4 de5 gong4 tong2 nu3 li4 e4 zhi4 le5 wai4 zi1 e2 xia4 jiang4 de5 qu1 shi4 chu1 xian4 wai4 zi1 e2 da4 fu2 du4 hui2 sheng1 de5 ju2 mian4 
 A12_18 wang1 jing1 wei4 yi4 xing2 ren2 dao4 le5 xiang1 gang3 wang1 fu1 fu4 lia3 yu3 chen2 gong1 bo2 deng3 dou1 shi4 guang3 dong1 ren2 you3 ge4 fu4 guan1 yu3 kuang4 yu4 min2 shi4 xiao3 tong2 xiang1 
 A12_28 tao2 ma1 zuo4 cai4 de5 shi2 hou5 fa1 xian4 jiang4 you2 kuai4 wan2 le5 na4 tian1 wu3 fan4 hou4 bian4 jiao4 xiao3 ai4 yun2 da3 jiang4 you2 sheng1 you2 ye3 yao4 mai3 le5 
 A12_38 si4 bai3 er4 shi2 san1 mi3 kua4 jing4 de5 zhu3 qiao2 he2 long2 wu4 cha1 bu4 zu2 liang3 hao2 mi3 bi3 xiao3 mi3 li4 hai2 xiao3 
 A12_98 quan2 dang3 bi4 xu1 jin2 jin3 tuan2 jie2 zai4 yi3 jiang1 ze2 min2 tong2 zhi4 wei2 he2 xin1 de5 dang3 zhong1 yang1 zhou1 wei2 yi4 xin1 yi2 yi4 wen3 zha1 wen2 da3 gong4 chuang4 wei4 lai2 
 A13_126 dui4 yu2 ta1 zai4 ren2 zang1 ju4 huo4 de5 qing2 kuang4 xia4 reng2 qiang3 ci2 duo2 li3 po1 gan3 you3 qu4 ta1 si4 hu1 bu4 zhi1 dao4 jue2 wang4 wei2 he2 wu4 
 A13_160 yong4 chuan2 tong3 de5 chang2 gui1 yu4 yang1 fang1 shi4 mei3 yu4 yi1 mu3 yang1 miao2 zhi3 ke3 zai1 cha1 ba1 mu3 da4 tian2 di3 mo2 yu4 yang1 ze2 ke3 yi2 zai1 wu3 shi2 mu3 
 A13_178 bei4 lei2 ge1 wa3 zuo2 tian1 zai4 wai4 sheng3 cheng2 shi4 pu3 wa3 di4 ai1 de5 jing4 xuan3 ji2 hui4 shang5 cheng1 ou1 zhou1 ying1 yi3 jian1 ding4 de5 li4 chang3 cong2 ling2 kai1 shi3 tong2 mei3 guo2 chong2 kai1 nong2 ye4 tan2 pan4 
 A13_198 ta1 men5 cong2 an4 bian1 pa2 qi3 lai5 hun2 shen1 shui3 lin2 lin2 de5 wang3 xia4 you2 pao3 you4 pu1 dao4 xia4 you2 gang1 qi3 de5 bo1 lang4 shang4 
 A13_199 gai1 yuan4 te4 pin4 qian2 wei3 chang2 tang2 ke4 wei2 gu4 wen4 nie4 wei4 ping2 wei2 ming2 yu4 yuan4 zhang3 
 A13_200 xiang1 kuai4 ran2 wan2 le5 tang2 lao3 liu4 hai2 mei2 you3 lai2 jie1 ban1 wo3 xin1 li3 zhi3 ma4 ta1 hun4 zhang4 yao4 shi4 duo1 you3 ge4 ren2 ye2 hao3 zhu4 wo3 yi1 ba3 
 A13_202 dan4 dui4 qi3 ye4 lai2 shuo1 ji1 zhi4 zhuan3 huan4 le5 zi4 zhu3 jing1 ying2 le5 zi4 fu4 ying2 kui1 le5 ye3 hai2 you3 fu4 ying2 he2 fu4 kui1 de5 liang2 zhong3 ke3 neng2 xing4 
 A13_212 zhe4 wan3 li2 niang2 fan4 gu1 niang5 zai4 you3 li2 niang2 tong4 chu3 ye3 yao4 mei3 yang4 dou1 chi1 yi4 dian3 cai2 suan4 xun2 gui1 zun1 su2 de5
 A13_39 fou3 ze2 guang1 you3 chan3 liang4 xiao1 bu4 chu1 qu4 ku4 cun2 yue4 lai2 yue4 duo1 wai4 qian4 huo4 kuan3 yue4 lai2 yue4 duo1 liu2 dong4 zi1 jin1 jiu4 hui4 yue4 lai2 yue4 shao3 
 A13_41 xin1 hua2 she4 bo1 en1 yi1 yue4 san1 ri4 xiao1 xi5 xi1 de2 ren2 lei4 xue2 jia1 jing1 kao2 gu3 fa1 xian4 yuan3 zai4 shi2 qi4 shi2 dai4 de5 ren2 jiu4 huan4 you3 ai2 zheng4 
 A13_46 huan4 ju4 hua4 shuo1 yi2 ge4 lv4 yuan2 zi3 zhi3 neng2 he2 yi2 ge4 na4 yuan2 zi3 jie2 he2 er2 er4 ge4 lv4 yuan2 zi3 cai2 neng2 he2 yi2 ge4 mei3 yuan2 zi3 hua4 he2 
 A13_47 ci3 hou4 ji4 zhe3 men5 he2 ge4 you3 guan1 ji1 gou4 zong3 shi4 you3 yi4 wu2 yi4 de5 ba3 liang3 ren2 wang3 yi2 kuai4 er5 cou4 xi1 wang4 cu4 cheng2 yi1 duan4 mei2 hao3 yin1 yuan2 
 A13_59 yi2 dan4 yu4 dao4 lie4 wu4 li4 ji2 yong4 jiao3 xu1 qian2 zhu4 yi3 ba5 gou1 zhuan3 yong4 yi3 ci4 zhu4 she4 yi4 zhen1 jiang1 lie4 wu4 du2 si3 
 A13_62 ben3 shu1 zhong1 de5 cong2 bai2 cao3 yuan2 dao4 san1 wei4 shu1 wu1 teng2 ye3 xian1 sheng5 fan4 ai4 nong2 deng3 pian1 bei4 xuan3 ru4 zhong1 xue2 yu3 wen2 ke4 ben3 
 A13_80 ke3 fa1 zhan3 chun2 mian2 quan2 se4 bei4 tao4 yin4 hua1 bei4 dan1 gou1 bian1 cu4 rong2 chuang2 zhao4 chuang2 wei2 zhen3 tao4 pei4 tao4 jian4 deng3 
 A13_87 ben2 ban3 yi1 yi1 jiu3 er4 qi1 za2 wen2 shou4 hao3 ping2 yi4 wen2 nei4 huai2 bei3 wen2 lian2 ying1 wei2 huai2 nan2 wen2 lian2 te4 ci3 geng1 zheng4 
 A13_91 xi1 an1 dong1 nan2 bei3 cheng2 men2 qian2 you2 xu3 duo1 xuan1 chuan2 pai2 gua4 yi2 kuai4 pai2 yi4 nian2 yao4 hua1 liang3 wan4 yuan2 wo3 men5 ye3 gua4 le5 yi2 kuai4 
 A13_98 quan2 dang3 bi4 xu1 jin2 jin3 tuan2 jie2 zai4 yi3 jiang1 ze2 min2 tong2 zhi4 wei2 he2 xin1 de5 dang3 zhong1 yang1 zhou1 wei2 yi4 xin1 yi2 yi4 wen3 zha1 wen2 da3 gong4 chuang4 wei4 lai2 
 A14_10 pao4 yan3 da2 hao3 le5 zha4 yao4 zen3 me5 zhuang1 yue4 zheng4 cai2 yao3 le5 yao3 ya2 shu1 de5 tuo1 qu4 yi1 fu5 guang1 bang3 zi5 chong1 jin4 le5 shui3 cuan4 dong4 
 A14_112 fan3 zheng4 zan2 gao1 di1 dou1 bu4 shuo1 sha2 zuo4 ren2 bu4 neng2 wang4 ben3 mei2 you3 lao2 ma3 na3 er5 you3 yun2 xia2 de5 jin1 tian1 wo3 sha2 ye3 bu4 shuo1 la5 
 A14_139 ta1 ren4 wei2 si1 chou2 zhi1 lu4 shang4 de5 min2 ge1 hen3 you3 te4 se4 yin1 wei4 de5 li3 wei4 zhi5 heng2 kua4 ou1 ya4 da4 lu4 shi4 ji2 te4 shu1 de5 kua4 guo2 ji2 min2 ge1 
 A14_148 shi2 ji3 gen1 liu2 jin1 shi2 diao1 yuan2 zhu4 cheng2 tuo1 zhe5 liang3 ceng2 yuan2 xing2 wu1 ding3 yuan3 kan4 po1 si4 wo3 guo2 chuan2 tong3 de5 zhong4 yan2 yuan2 ting2 
 A14_150 fu2 an1 guang3 gao4 gong1 si1 fang1 mian4 shuo1 ta1 men5 bing4 bu2 zan4 cheng2 chai1 meng4 long2 chun1 guang3 gao4 dan4 shang4 tou5 you3 ya1 li4 mei2 you3 ban4 fa3 
 A14_159 xiong1 nu2 you4 bu4 zao1 dao4 le5 chen2 zhong4 da3 ji1 xiong1 nu2 hun2 xie2 wang2 sha1 xiu1 tu2 wang2 shuai4 ling3 bu4 zhong4 si4 wan4 ren2 xiang2 han4 
 A14_181 dui4 quan2 bu4 yun4 kuan3 che1 jin4 xing2 gai3 zao4 da2 dao4 fang2 qiang3 fang2 dao4 yao1 qiu2 bing4 wei4 quan2 ti3 ya1 yun4 ren2 yuan2 pei4 bei4 le5 fang2 dan4 tou2 kui1 he2 fang2 dan4 fu2 
 A14_191 dang1 chuan2 wang3 xia4 piao1 shi2 bai2 chun2 lu4 yang2 qi3 si4 ti2 zai4 an4 bian1 zhui1 sui2 hao3 xiang4 shi4 song4 xing2 yi4 zhi2 pao3 le5 shi2 ji3 li3 tai4 qin1 qie4 le5 
 A14_202 dan4 dui4 qi3 ye4 lai2 shuo1 ji1 zhi4 zhuan3 huan4 le5 zi4 zhu3 jing1 ying2 le5 zi4 fu4 ying2 kui1 le5 ye3 hai2 you3 fu4 ying2 he2 fu4 kui1 de5 liang2 zhong3 ke3 neng2 xing4 
 A14_203 kai1 luan2 kuang4 wu4 ju2 hou4 lv3 jia1 tuo2 kuang4 zhang1 wen2 you3 zhang1 wen2 fu4 liang3 xiong1 di4 tong2 chao1 chan3 tong2 li4 gong1 tong2 dang1 lao2 dong4 mo2 fan4 
 A14_225 xue4 ye4 xun2 huan2 xi4 tong3 you3 yan2 zhong4 zhang4 ai4 te4 bie2 shi4 na4 xie1 you2 yu2 nao3 xue4 guan3 bian4 zhai3 er2 jing1 chang2 tou2 yun1 tou2 hun1 de5 ren2 
 A14_241 ren2 dai4 hui4 kai1 mu4 na4 tian1 ao4 shen1 wei3 zhi2 xing2 zhu3 xi2 wu3 shao4 zu3 zai4 ren2 min2 da4 hui4 tang2 dong1 da4 ting1 yi1 lou4 mian4 jiu4 bei4 tuan2 tuan2 wei2 zhu4 
 A14_249 mei3 ri4 xia4 wu3 san1 si4 dian3 zhong1 pei2 de2 zhi4 dao4 da4 hai3 de5 you2 yong3 chi2 pan4 tai4 yang2 san3 xia4 zuo4 zuo5 chui1 chui5 hai3 feng1 xin1 shang3 you2 yong3 ren2 de5 feng1 zi1 
 A14_37 ling4 wai4 qun2 zhong4 fan3 ying4 yuan2 yun4 fa1 you3 ge4 mei4 mei5 zai4 ao4 tou2 ju1 zhu4 qu4 nian2 chun1 jie2 qian2 qing3 gong1 ren2 qi4 qiang2 ba3 ce4 suo3 qiang2 qi4 ta1 le5 
 A14_63 shi4 ya5 nan2 ren5 yi3 wei2 rang4 jiu3 rang4 yan1 shi4 ji2 pu3 bian4 de5 shi4 ke3 shi4 zhi3 xian4 yu2 yan1 jiu3 ta1 men5 bu2 hui4 fei2 ma3 qing1 qiu2 yu3 you3 gong4 zhi1 
 A14_68 lian2 guang3 xi1 na4 yang4 de5 bian1 yuan3 sheng3 qu1 jia1 dian4 wei2 xiu1 pei2 xun4 jie2 ye4 xue2 yuan2 ye3 chao1 guo4 le5 shi2 wan4 ren2 
 A14_76 yan3 xia4 lou2 yue4 gai4 yue4 gao1 yue4 gai4 yue4 duo1 yue4 gai4 yue4 piao4 liang5 ke3 gai4 lou2 de5 ren2 xin1 li3 que4 shi4 yue4 lai2 yue4 mei2 di3 er5 le5 
 A14_82 zui4 hou4 gai1 yi4 an4 yi3 san1 bai3 yi1 shi2 piao4 fan3 dui4 er4 bai3 jiu3 shi2 yi1 piao4 zan4 cheng2 er2 zao1 dao4 fou3 jue2 di2 ni2 zheng4 fu3 xing4 mian3 yu2 nan2 
 A19_101 qi1 shi2 nian2 dai4 mo4 wo3 wai4 chu1 qiu2 xue2 mu3 qin1 ding1 ning2 wo3 chi1 fan4 yao4 xi4 jiao2 man4 yan4 xue2 xi2 yao4 shen1 zuan1 xi4 yan2 
 A19_117 wo3 ceng2 zu2 ji4 bian4 ji2 hai3 nei4 wai4 dan4 shi3 wo3 shi3 zhong1 ying2 hui2 bu4 neng2 wang4 huai2 de5 que4 shi4 zhe4 pian4 sheng1 wo3 yang3 wo3 de5 zhong1 yuan2 gu4 tu3 
 A19_118 you2 yu2 chan3 fu4 zao2 chan3 yi1 hu4 ren2 yuan2 jiang1 san1 bao1 tai1 ying1 er2 fang4 zai4 yu4 ying1 xiang1 nei4 jing1 xin1 hu4 li3 yi3 bao3 zheng4 ta1 men5 cun2 huo2 
 A19_145 ni3 men5 da4 jia1 chi1 cang1 ying5 wo3 ye3 gen1 zhe5 chi1 cang1 ying5 ni3 men5 yuan4 yi4 chi1 wen2 zi5 wo3 jiu4 gen1 zhe5 chi1 wen2 zi5 shen2 me5 shi4 bu2 yong4 wen4 wo3 
 A19_156 tai4 hu2 dong1 an4 yi2 dai4 de5 yun2 tuan2 you2 dan4 dao4 nong2 zai4 you2 nong2 dao4 dan4 er2 shang4 hai3 shi4 qu1 shang4 kong1 de5 yun2 yue4 lai2 yue4 shao3 yue4 lai2 yue4 xi1 
 A19_165 ge4 qu1 fu4 ze2 ge4 qu1 de5 ye4 wu4 zhi2 you3 si3 wang2 zai4 bie2 qu1 de5 ren2 cai2 yun2 xu3 shi3 yong4 bie2 qu1 de5 bin4 yi2 guan3 
 A19_188 bu4 jiu3 cao2 zhen1 wu2 tong2 zhi4 you4 duo1 fang1 ben1 zou3 wei4 ta1 lian2 xi4 diao4 wang3 tiao2 jian4 you1 yue4 de5 nei4 di4 mou3 yi1 yuan4 
 A19_200 xiang1 kuai4 ran2 wan2 le5 tang2 lao3 liu4 hai2 mei2 you3 lai2 jie1 ban1 wo3 xin1 li3 zhi3 ma4 ta1 hun4 zhang4 yao4 shi4 duo1 you3 ge4 ren2 ye2 hao3 zhu4 wo3 yi1 ba3 
 A19_213 jing1 shi2 yan4 zheng4 ming2 qi2 sha1 jing1 zi3 xiao4 guo3 gao1 yu2 mu4 qian2 guo2 nei4 yi4 ban1 wai4 yong4 bi4 yun4 yao4 er2 qie3 shi3 yong4 qi3 lai5 an1 quan2 fang1 bian4 
 A19_215 zuo2 guai3 you4 xuan2 zhong1 shi2 er2 qiong2 tu2 mo4 lu4 wan1 yao1 di1 bei4 zuan1 chu1 xia4 xi4 hou4 liu3 an4 hua1 ming2 
 A19_220 dang1 shi2 zhi3 zhang1 qi2 que1 wo3 men5 jiu4 yong4 fei4 jiu4 wen2 jian4 de5 bei4 mian4 lai2 you2 yin4 sui1 hen3 cu1 cao1 dan4 zong3 suan4 gei3 mei3 ge5 zu3 yin4 le5 yi4 ben3 
 A19_236 ran2 er2 ban4 nian2 duo1 lai2 ming4 yun4 zhi1 shen2 yi4 zhi2 yu3 ye4 qiao2 bo1 zuo4 dui4 yan2 zhong4 de5 xi1 shang1 shi3 ta1 yu3 zui4 hou4 de5 meng4 xiang3 yue4 lai2 yue4 yuan3 
 A19_25 zai4 ying3 shi4 yu3 yan2 de5 zong1 he2 yun4 yong4 shang5 ye3 ti3 yan4 le5 yi1 zhong3 mei3 xue2 zhui1 qiu2 yi4 fu2 fu2 guang1 ying3 jiao1 zhi1 de5 hua4 mian4 zao4 xing2 yu4 yi4 shen1 yuan3 
 A19_43 ta1 shi4 li4 yong4 guang1 bo1 sao3 miao2 pei4 he2 ji1 guang1 guo4 lv4 yi3 hua4 xue2 wu4 xi1 qu4 zao4 mo2 zui4 hou4 yi3 yi1 zhong3 dian4 nao3 ji4 shu4 zhi4 zuo4 er2 cheng2 
 A19_44 ci3 ke4 tai4 yang2 si1 po4 yun2 ceng2 liao1 qi3 wu4 man4 yao2 shan1 cai2 lu4 chu1 ta1 qiao4 mei3 de5 mian4 rong2 
 A19_68 lian2 guang3 xi1 na4 yang4 de5 bian1 yuan3 sheng3 qu1 jia1 dian4 wei2 xiu1 pei2 xun4 jie2 ye4 xue2 yuan2 ye3 chao1 guo4 le5 shi2 wan4 ren2 
 A19_70 yi3 la1 sa4 wei2 hui4 he2 dian3 de5 qi2 wang3 luo4 yan2 shen1 dian3 shi4 ri4 yue4 shan1 ming2 sha1 shan1 he2 huo3 yan4 shan1 deng3 ke4 yuan2 shi4 chang3 ce4 zhong4 yu2 ou1 mei3 
 A19_90 bu4 chu2 le5 zhe4 ge5 yang3 niu2 chang3 wo3 hai2 fu2 chi2 le5 yi4 bai3 er4 shi2 ge4 yang3 niu2 zhuan1 ye4 hu4 nin2 gang1 cai2 kan4 guo4 de5 li3 chang2 yuan3 he2 li3 chang2 jiang1 liang3 jia1 jiu4 shi5 qi2 zhong1 zhi1 yi1 
 A22_1 ta1 jin3 ping2 yao1 bu4 de5 li4 liang4 zai4 yong3 dao4 shang4 xia4 fan1 teng2 yong3 dong4 she2 xing2 zhuang4 ru2 hai3 tun2 yi4 zhi2 yi3 yi4 tou2 de5 you1 shi4 ling3 xian1 
 A22_133 cun1 zhi1 bu4 shu1 ji5 ga1 ma3 luo2 bu4 shuo1 xue3 zai1 shi2 quan1 wo1 zhong4 de5 cao3 wei2 chi2 le5 yi2 ge4 ban4 yue4 fou3 ze2 sun3 shi1 geng4 da4 
 A22_138 jing1 guo5 shang4 shang4 xia4 xia4 de5 gong4 tong2 nu3 li4 e4 zhi4 le5 wai4 zi1 e2 xia4 jiang4 de5 qu1 shi4 chu1 xian4 wai4 zi1 e2 da4 fu2 du4 hui2 sheng1 de5 ju2 mian4 
 A22_153 jin4 nian2 lai2 ying3 tan2 shang4 shen2 me5 gui3 a5 xia2 a5 tou1 a5 dao4 a5 sha1 a5 xian1 xue4 lin2 li2 de5 xiong1 sha1 chang3 mian4 deng3 cheng2 le5 mou3 xie1 yu2 le4 pian4 li3 bu4 ke2 shao3 de5 nei4 rong2 
 A22_155 shan2 shan3 wu1 jin1 tong1 guo4 gao1 su4 zi4 dong4 hua4 pi2 dai4 cong2 jing3 nei4 gong1 zuo4 mian4 zhi2 song4 jing3 wai4 yuan2 yuan2 bu2 duan4 de5 zhuang1 man3 lie4 che1 yun4 wang3 quan2 guo2 ge4 di4 
 A22_159 xiong1 nu2 you4 bu4 zao1 dao4 le5 chen2 zhong4 da3 ji1 xiong1 nu2 hun2 xie2 wang2 sha1 xiu1 tu2 wang2 shuai4 ling3 bu4 zhong4 si4 wan4 ren2 xiang2 han4 
 A22_162 gai1 zhong1 zhong4 yue1 shi2 si4 dun1 mei3 zou3 yi4 xiao3 shi2 jiu4 fa1 chu1 shen1 chen2 keng1 qiang1 de5 bao4 shi2 sheng1 niao2 niao3 yu2 yin1 yao2 yuan3 ke3 wen2 
 A22_190 na4 zhong3 cong2 guo2 wai4 yin3 jin4 de5 yong4 la4 jiao1 jian3 fei2 de5 yang2 wan2 yi4 er5 jiu1 jing4 shi4 chi1 hai2 shi4 wai4 fu1 guang3 gao4 wei4 shuo1 ming2 bu4 de2 er2 zhi1 
 A22_20 wa2 wa5 yu2 de5 sheng1 huo2 xi2 xing4 te4 shu1 bu2 yi4 ren2 gong1 wei4 yang3 ran2 er2 you2 ke4 que4 bu4 zhi1 zhe4 xie1 zhi3 tu2 xi1 qi2 hao3 wan2 sui2 yi4 bu3 zhuo1 
 A22_205 zi4 cong2 you3 zhe4 gei3 xia1 zi5 zuo4 qie4 de5 hua4 ta1 kan4 jian4 jie1 shang5 de5 xia1 zi5 jiu4 you2 zhong3 yi4 yang4 de5 gan3 jue2 you4 tao3 yan4 you4 you2 dian3 pa4 
 A22_212 zhe4 wan3 li2 niang2 fan4 gu1 niang5 zai4 you3 li2 niang2 tong4 chu3 ye3 yao4 mei3 yang4 dou1 chi1 yi4 dian3 cai2 suan4 xun2 gui1 zun1 su2 de5
 A22_220 dang1 shi2 zhi3 zhang1 qi2 que1 wo3 men5 jiu4 yong4 fei4 jiu4 wen2 jian4 de5 bei4 mian4 lai2 you2 yin4 sui1 hen3 cu1 cao1 dan4 zong3 suan4 gei3 mei3 ge5 zu3 yin4 le5 yi4 ben3 
 A22_223 jing1 ye4 zhong1 yi2 chuan2 sun3 shang1 jing1 zi3 de5 shui3 ping2 bing4 bu4 ying2 xiang3 sheng1 yu4 yi4 xie1 yi2 chuan2 sun3 shang1 ke2 yi3 zai4 shou4 yun4 hou4 zi4 ran2 xiu1 fu4 
 A22_231 si4 shi4 dui4 quan2 ti3 yuan2 gong1 jia1 qiang2 wai4 yu3 pei2 xun4 yan2 ge2 wai4 yu3 kao3 shi4 bing4 ba3 wai4 yu3 cheng2 ji4 he2 ben3 ren2 de5 jing1 ji4 shou1 ru4 gua4 gou1 
 A22_26 deng3 cong2 yun1 yun5 hu1 hu1 zhong1 xing3 zhuan3 lai2 shi2 jian1 yi3 jing1 diu1 xia4 yi2 chuan4 chang2 chang2 de5 jiao3 yin4 xiao1 shi4 de5 wu2 ying3 wu2 zong1 
 A22_36 dai4 ye4 wan3 jian4 shen1 yue4 chu1 yu2 dong1 shan1 rong2 rong5 yue4 hua2 ca1 liang4 xiao3 hu2 ying4 ru4 shui3 zhong1 de5 yue4 hui1 ru2 yu4 pan2 xiao3 hu2 bian4 xiang4 jing4 yue4 
 A22_38 si4 bai3 er4 shi2 san1 mi3 kua4 jing4 de5 zhu3 qiao2 he2 long2 wu4 cha1 bu4 zu2 liang3 hao2 mi3 bi3 xiao3 mi3 li4 hai2 xiao3 
 A22_53 yu2 shi4 hu1 hei1 bai2 dian1 dao3 ji1 ya1 yu2 rou4 shou4 leng3 luo4 ye3 cai4 wo1 tou2 que4 cheng2 le5 can1 zhuo1 shang4 de5 chong3 er2 
 A22_58 te4 bie2 shi4 kua4 sheng3 qu1 dian4 wang3 chao1 ji4 hua4 yong4 dian4 bu4 jin3 sun3 hai4 zi4 ji3 ye3 sun3 hai4 bie2 ren2 sun3 hai4 dian4 wang3 sun3 hai4 guo2 jia1 
 A22_65 xin1 hua2 she4 nan2 ning2 yi1 yue4 er4 shi2 liu4 ri4 dian4 tie3 dao4 yun4 ying2 cai2 wu4 kuai4 ji5 tong1 yong4 ruan3 jian4 xi4 lie4 zai4 liu3 zhou1 tie3 lu4 ju2 yan2 zhi4 cheng2 gong1 
 A22_76 yan3 xia4 lou2 yue4 gai4 yue4 gao1 yue4 gai4 yue4 duo1 yue4 gai4 yue4 piao4 liang5 ke3 gai4 lou2 de5 ren2 xin1 li3 que4 shi4 yue4 lai2 yue4 mei2 di3 er5 le5 
 A22_8 yang2 zhuo2 yong1 hu2 chou1 shui3 xu4 neng2 dian4 chang3 shi4 mu4 qian2 shi4 jie4 shang5 hai3 ba2 zui4 gao1 de5 chou1 shui3 xu4 neng2 dian4 chang3 ye3 shi4 xi1 zang4 zui4 da4 de5 neng2 yuan2 ji1 di4 
 A22_95 ji3 chu4 ao4 kou3 bei4 zhan4 huo3 ran2 shao1 guo4 qing1 yan1 yi1 ran2 piao1 niao3 er2 sheng1 chao2 he2 gu3 shang4 kong1 mi2 san4 zhi2 dao4 yu3 tian1 di4 rong2 wei2 yi4 ti3 
 A23_109 jie2 guo3 bu4 wa3 wan4 bu4 zhi1 zen3 me5 wei4 neng2 ba3 san3 da3 kai1 er2 shuai1 si3 er2 ka3 te4 lin2 cao1 zong4 jiang4 luo4 san3 an1 ran2 zhao2 de5 
 A23_115 ma3 xiao3 nian2 zuo4 hua4 de5 te4 zheng1 yu3 shen2 yun4 qi2 hua4 feng1 qu1 bie2 yu2 wen2 ren2 hua4 he2 nian2 hua4 ke3 wei4 ya3 su2 gong4 shang3 
 A23_118 you2 yu2 chan3 fu4 zao2 chan3 yi1 hu4 ren2 yuan2 jiang1 san1 bao1 tai1 ying1 er2 fang4 zai4 yu4 ying1 xiang1 nei4 jing1 xin1 hu4 li3 yi3 bao3 zheng4 ta1 men5 cun2 huo2 
 A23_120 zhong1 nian2 yan3 yuan2 ma3 li4 li5 lu4 jing4 ye4 qing1 nian2 yan3 yuan2 sun1 xu2 chun1 deng3 ye3 wei4 guan1 zhong4 yan3 chu1 le5 na2 shou3 qu3 mu4 
 A23_162 gai1 zhong1 zhong4 yue1 shi2 si4 dun1 mei3 zou3 yi4 xiao3 shi2 jiu4 fa1 chu1 shen1 chen2 keng1 qiang1 de5 bao4 shi2 sheng1 niao2 niao3 yu2 yin1 yao2 yuan3 ke3 wen2 
 A23_163 ta1 qiong2 zhui1 bu4 she3 shen1 wa1 xi4 cha2 zhong1 yu2 nong4 qing1 bei4 gao4 yu3 gai1 nai3 niu2 zhan4 shi4 liang3 kuai4 pai2 zi5 yi1 tao4 ban1 zi5 
 A23_170 ju4 yin4 du4 guan1 yuan2 tou4 lu4 shuang1 fang1 tao3 lun4 le5 yin4 du4 kong4 zhi5 de5 ke4 shi2 mi2 er3 di4 qu1 mu4 qian2 de5 jin3 zhang1 ju2 shi4 wen4 ti2 
 A23_171 shen1 ye4 shi2 er4 dian3 zhong1 ta1 zhan4 zai4 shao4 wei4 shang4 huan2 shi4 zhou1 wei2 yin1 sen1 ke3 bu4 yue4 xiang3 yue4 hai4 pa4 bao4 qiang1 ku1 zhe5 pao3 hui2 ying2 fang2 
 A23_188 bu4 jiu3 cao2 zhen1 wu2 tong2 zhi4 you4 duo1 fang1 ben1 zou3 wei4 ta1 lian2 xi4 diao4 wang3 tiao2 jian4 you1 yue4 de5 nei4 di4 mou3 yi1 yuan4 
 A23_194 can1 jin1 shi4 ca1 zui3 he2 shou2 zhi3 de5 bei1 bian1 qing3 yong4 can1 zhi3 ca1 shi4 lian3 shang4 de5 han4 huo4 zhan1 shang5 de5 shui3 zhi1 qing3 yong4 zi4 ji3 de5 shou3 juan4 ca1 diao4 
 A23_196 shen2 han4 wu1 po2 shuo1 shen2 me5 diao4 jing3 gui3 chan2 zhu4 le5 wo3 er4 ge1 yao4 chi1 he1 yao4 qian2 yong4 yao4 wo3 jia1 po4 cai2 xiao1 zai1 
 A23_207 zhen1 you1 mo4 na4 ji1 zhi4 bai3 bian4 na4 miao4 qu4 heng2 sheng1 rang4 ren2 yue4 zhuo2 mo2 yue4 peng3 fu4 er2 qie3 you3 mao2 se4 dun4 kai1 ban1 de5 qi3 wu4 
 A23_233 an1 di4 si1 ji2 tuan2 you2 bo1 li4 wei2 ya4 ge1 lun2 bi3 ya4 e4 gua1 duo1 er3 bi4 lu3 he2 wei3 nei4 rui4 la1 wu3 guo2 zu3 cheng2 
 A23_28 tao2 ma1 zuo4 cai4 de5 shi2 hou5 fa1 xian4 jiang4 you2 kuai4 wan2 le5 na4 tian1 wu3 fan4 hou4 bian4 jiao4 xiao3 ai4 yun2 da3 jiang4 you2 sheng1 you2 ye3 yao4 mai3 le5 
 A23_33 yu3 wang2 wei3 si4 ping2 shi4 huo4 che1 si1 ji1 du4 da4 ping2 yue4 yu4 jie2 zhuang1 xie4 gong1 liu2 chun1 shan1 yi4 tong2 zhui1 gan3 tao2 pao3 de5 an4 fan4 
 A23_46 huan4 ju4 hua4 shuo1 yi2 ge4 lv4 yuan2 zi3 zhi3 neng2 he2 yi2 ge4 na4 yuan2 zi3 jie2 he2 er2 er4 ge4 lv4 yuan2 zi3 cai2 neng2 he2 yi2 ge4 mei3 yuan2 zi3 hua4 he2 
 A23_7 kuang4 ye3 de5 feng1 yao4 wang3 zhe4 er5 gua1 na4 er5 gua1 ni3 neng2 ming4 ling4 feng1 si4 mian4 ba1 fang1 quan2 gua1 yi4 dian3 ma5 
 A23_71 liu2 yong3 gang1 deng3 wei3 yuan2 hu1 yu4 shi2 xing2 yao4 pin3 zhuan1 ying2 que4 bao3 yong4 yao4 an1 quan2 
 A23_85 hu2 yao4 bang1 yu3 yang2 yong3 que4 xi4 di2 qin1 yi2 biao3 xiong1 de5 yao4 bang1 de5 mu3 qin1 liu2 ming2 lun2 yu3 yang2 yong3 de5 mu3 qin1 liu2 shi4 zhen1 shi4 tong2 bao1 jie3 mei4 
 A23_97 shi3 yong4 zhe4 yang4 de5 ya2 shua1 hui4 bu4 tong2 cheng2 du4 de5 ci4 shang1 ya2 yin2 zao4 cheng2 ya2 yin2 chu1 xue4 bing4 dao3 zhi4 ya2 chi3 guo4 du4 mo2 sun3 
 A2_103 zou3 chu1 cun1 zi5 lao2 yuan3 lao2 yuan3 wo3 hai2 hui2 tou2 zhang1 wang4 na4 ge5 an1 ning2 tian2 jing4 de5 xiao3 yuan4 na4 ge5 shi3 wo3 zhong1 shen1 nan2 wang4 de5 xiao3 yuan4 
 A2_108 ru2 yan1 ban4 huang2 gua1 jiang1 huang2 gua1 xi3 jing4 qie1 pian4 hou4 yong4 yan2 yan1 ban4 xiao3 shi2 zuo3 you4 shi2 yong4 shi2 jia1 tang2 cu4 ma2 you2 ji2 ke3 
 A2_116 jian4 yu2 ci3 jing1 yan2 jiu1 jue2 ding4 hai3 xia2 qing2 zhuan1 lan2 yuan2 ding4 san1 yue4 di3 jie2 shu4 xian4 yan2 zhi4 wu3 yue4 san1 shi5 yi1 ri4 te4 ci3 gao4 zhi1 
 A2_119 chen2 yun2 tong2 zhi4 tong2 shi2 yao1 qiu2 gan4 bu5 ren4 zhen1 xue2 xi2 ye4 wu4 jing1 tong1 ye4 wu4 xiang4 yi2 qie4 ye4 wu4 nei4 hang2 ren2 xue2 xi2 
 A2_167 su1 an1 ning2 sui4 ling4 sui2 cong2 jiao4 min2 tang2 qi3 yu2 peng2 ya4 chang1 deng3 jiang1 li3 yuan2 kang1 zhua1 zou3 
 A2_206 shang4 deng3 tang2 guo3 xiang1 yan1 yao4 pin3 deng3 yong4 bo1 li5 zhi3 bao1 zhuang1 chu2 le5 mei3 guan1 wai4 hai2 you3 bao3 hu4 wu4 pin3 de5 jue2 miao4 zuo4 yong4 
 A2_33 yu3 wang2 wei3 si4 ping2 shi4 huo4 che1 si1 ji1 du4 da4 ping2 yue4 yu4 jie2 zhuang1 xie4 gong1 liu2 chun1 shan1 yi4 tong2 zhui1 gan3 tao2 pao3 de5 an4 fan4 
 A2_58 te4 bie2 shi4 kua4 sheng3 qu1 dian4 wang3 chao1 ji4 hua4 yong4 dian4 bu4 jin3 sun3 hai4 zi4 ji3 ye3 sun3 hai4 bie2 ren2 sun3 hai4 dian4 wang3 sun3 hai4 guo2 jia1 
 A2_85 hu2 yao4 bang1 yu3 yang2 yong3 que4 xi4 di2 qin1 yi2 biao3 xiong1 de5 yao4 bang1 de5 mu3 qin1 liu2 ming2 lun2 yu3 yang2 yong3 de5 mu3 qin1 liu2 shi4 zhen1 shi4 tong2 bao1 jie3 mei4 
 A2_92 jie1 yang2 cheng2 wei2 wai4 shang1 tou2 zi1 xin1 re4 dian3 jian4 shi4 yi4 nian2 yin3 jin4 wai4 zi1 shi2 wu3 yi4 mei3 yuan2 
 A32_114 jin1 ji1 shan1 xia4 de5 nong4 yao2 cun1 ai4 kou3 zhen4 guo4 qu4 qiong2 de5 ding1 dang1 xiang3 xian4 zai4 que4 chu1 le5 bai3 wan4 fu4 weng1 shen4 zhi4 qian1 wan4 fu4 weng1 
 A32_124 ling4 wai4 nv3 dan1 zhong1 guo2 dui4 hai2 you3 han2 jing1 na4 he2 yao2 yan4 ao4 yun4 pai2 ming2 di4 liu4 qi1 wei4 ye3 ke3 yu3 gao1 shou3 yi1 bo2 
 A32_14 jie2 zhi3 jin1 nian2 qi1 yue4 zhong1 xun2 gai1 shi4 gong4 tuo1 qian4 jiao4 shi1 gong1 zi1 yi4 bai3 san1 shi2 wu3 wan4 yuan2 yin1 zheng4 ling4 shou4 zu3 er2 wei4 ji2 shi2 dui4 xian4 
 A32_173 yuan2 chan3 ou1 zhou1 de5 wu4 wang4 cao3 qi2 mao4 bu4 yang2 dan4 ming2 wen2 ou1 ya4 su2 cheng1 wu4 wang4 wo3 huo4 wu2 wang4 wo3 
 A32_19 xian4 nian2 wu3 shi2 ba1 sui4 de5 qie4 er3 nuo4 mei2 er3 jin1 shi4 cong2 yi1 jiu3 jiu3 er4 nian2 shi2 er4 yue4 kai1 shi3 dan1 ren4 e2 luo2 si1 zheng4 fu3 zong2 li3 zhi2 wu4 de5 
 A32_202 dan4 dui4 qi3 ye4 lai2 shuo1 ji1 zhi4 zhuan3 huan4 le5 zi4 zhu3 jing1 ying2 le5 zi4 fu4 ying2 kui1 le5 ye3 hai2 you3 fu4 ying2 he2 fu4 kui1 de5 liang2 zhong3 ke3 neng2 xing4 
 A32_219 zhe4 peng2 you5 ye3 xiang4 tan2 lian4 ai4 yi2 yang4 dei3 jiang3 yuan2 fen4 you3 yuan2 fen4 shi4 bu2 yong4 ke4 yi4 qu4 zhui1 qiu2 de5 
 A32_232 jiao1 juan3 chong1 wan2 hou4 reng2 liu2 zai4 an4 he2 zhong1 gu4 ke4 de2 dao4 yi1 fen4 he2 di3 pian4 tong2 yang4 da4 xiao3 de5 zhao4 pian4 gong4 kuo4 yin4 xuan3 ze2 yong4 
 A32_235 li3 rui4 huan2 shuo1 zhong1 jian3 you3 yi4 shi4 zhong1 guo2 lao3 yi2 bei4 ling2 dao3 ren2 he2 guo2 wang2 bi4 xia4 qin1 shou3 di4 zao4 de5 jing1 shou4 le5 ge4 zhong3 feng1 lang4 de5 kao3 yan4 
 A32_244 a1 la1 fa3 te4 de5 fu1 ren5 su1 ha1 bao4 zhe5 bu4 man3 wu3 ge4 yue4 de5 nv3 er5 zha1 ha1 wa3 zai4 ye1 su1 dan4 sheng1 de5 ma3 cao2 pang2 liu2 ying3 
 A32_35 dao4 le5 you3 qing4 ti2 zhe5 yi1 lan2 cao3 hui2 lai5 shang4 xue2 ye3 kuai4 chi2 dao4 le5 ji2 mang2 wang3 zui2 li3 sai1 yi4 wan3 fan4 bian1 jiao2 bian1 wang3 cheng2 li3 pao3 
 A32_37 ling4 wai4 qun2 zhong4 fan3 ying4 yuan2 yun4 fa1 you3 ge4 mei4 mei5 zai4 ao4 tou2 ju1 zhu4 qu4 nian2 chun1 jie2 qian2 qing3 gong1 ren2 qi4 qiang2 ba3 ce4 suo3 qiang2 qi4 ta1 le5 
 A32_50 yi1 xiang1 gang3 de5 kang4 ri4 jiu4 wang2 yun4 dong4 yi3 jiu4 wang2 wen2 hua4 yun4 dong4 wei2 zhu3 yao4 xing2 shi4 
 A32_54 zhe4 zhong3 wei3 hang2 pai2 dian4 zi3 mie4 wen2 ying2 deng1 cai3 yong4 mou2 zhong3 guang1 pu3 neng2 de5 guang1 xiao4 ying4 you4 sha1 wen2 ying2 he2 fei1 chong2 dui4 ren2 ti3 wu2 hai4 
 A32_62 ben3 shu1 zhong1 de5 cong2 bai2 cao3 yuan2 dao4 san1 wei4 shu1 wu1 teng2 ye3 xian1 sheng5 fan4 ai4 nong2 deng3 pian1 bei4 xuan3 ru4 zhong1 xue2 yu3 wen2 ke4 ben3 
 A32_67 chi4 tie3 kuang4 de5 cheng2 fen4 shi4 san1 yang3 hua4 er4 tie3 yan2 se4 cheng2 an4 hong2 se4 huo4 gang1 hui1 se4 ta1 yin1 fen3 mo4 cheng2 hong2 se4 er2 de2 ming2 
 A32_84 cong2 fei1 ji1 shang4 wang3 xia4 wang4 qu4 jiu4 ru2 tong2 yi2 ge4 shuo4 da4 de5 yu4 pen2 yi2 yang4 pen2 di3 xia4 mian4 hai2 you3 lv2 lv3 qing1 yan1 mao4 chu1 
 A32_91 xi1 an1 dong1 nan2 bei3 cheng2 men2 qian2 you2 xu3 duo1 xuan1 chuan2 pai2 gua4 yi2 kuai4 pai2 yi4 nian2 yao4 hua1 liang3 wan4 yuan2 wo3 men5 ye3 gua4 le5 yi2 kuai4 
 A33_11 zha2 yi1 cai3 fu1 shi2 zhuang1 bu4 jin3 nv3 zhuang1 gao1 ya3 nan2 zhuang1 ye3 xin1 ying3 bu4 jin3 biao2 yan3 shi2 zhuang1 bie2 zhi4 zhi2 ye4 nv3 zhuang1 ye3 mei4 li4 zui4 ren2 
 A33_20 wa2 wa5 yu2 de5 sheng1 huo2 xi2 xing4 te4 shu1 bu2 yi4 ren2 gong1 wei4 yang3 ran2 er2 you2 ke4 que4 bu4 zhi1 zhe4 xie1 zhi3 tu2 xi1 qi2 hao3 wan2 sui2 yi4 bu3 zhuo1 
 A33_3 cai4 zuo4 hao3 le5 yi4 wan3 qing1 zheng1 wu3 chang1 yu2 yi4 wan3 fan1 qie2 chao3 ji1 dan4 yi4 wan3 zha4 cai4 gan1 zi3 chao3 rou4 si1 
 A33_36 dai4 ye4 wan3 jian4 shen1 yue4 chu1 yu2 dong1 shan1 rong2 rong5 yue4 hua2 ca1 liang4 xiao3 hu2 ying4 ru4 shui3 zhong1 de5 yue4 hui1 ru2 yu4 pan2 xiao3 hu2 bian4 xiang4 jing4 yue4 
 A33_79 mei3 rong2 pin3 jian3 fei2 yao4 ying2 yang3 ye4 shi4 chang3 zou3 qiao4 you3 ren2 ren4 wei2 shi4 kao4 guang3 gao4 ying4 shan1 huo2 qi3 lai2 de5 
 A34_118 you2 yu2 chan3 fu4 zao2 chan3 yi1 hu4 ren2 yuan2 jiang1 san1 bao1 tai1 ying1 er2 fang4 zai4 yu4 ying1 xiang1 nei4 jing1 xin1 hu4 li3 yi3 bao3 zheng4 ta1 men5 cun2 huo2 
 A34_120 zhong1 nian2 yan3 yuan2 ma3 li4 li5 lu4 jing4 ye4 qing1 nian2 yan3 yuan2 sun1 xu2 chun1 deng3 ye3 wei4 guan1 zhong4 yan3 chu1 le5 na2 shou3 qu3 mu4 
 A34_127 yao4 xiang3 fu2 you1 tai4 lie4 shou3 xian1 yao4 jie3 jue2 shui2 you1 shui2 lie4 de5 wen4 ti2 yao4 pan4 ding4 shui2 you1 shui2 lie4 bi4 xu1 dei3 you3 yi2 ge4 heng2 liang2 de5 chi3 zi5 
 A34_132 de2 dao4 li3 gong1 pu3 e4 hao4 wen2 yi1 duo1 nu4 fen4 tian2 ying1 pai1 an4 er2 qi3 nu4 chi4 fan3 dong4 pai4 bei1 bi3 wu2 chi3 
 A34_134 fa3 ji4 zan4 cheng2 bei3 yue1 dong1 kuo4 you4 tong2 yi4 jia1 qiang2 ou1 an1 zu3 zhi1 de5 zuo4 yong4 cong2 er2 he2 mei3 guo2 you2 suo3 qu1 bie2 
 A34_160 yong4 chuan2 tong3 de5 chang2 gui1 yu4 yang1 fang1 shi4 mei3 yu4 yi1 mu3 yang1 miao2 zhi3 ke3 zai1 cha1 ba1 mu3 da4 tian2 di3 mo2 yu4 yang1 ze2 ke3 yi2 zai1 wu3 shi2 mu3 
 A34_176 qi2 zhong1 shui3 yun4 kou3 an4 ba1 shi2 yi2 ge4 kong1 yun4 kou3 an4 er4 shi2 wu3 ge4 tie3 lu4 kou3 an4 shi2 ge4 gong1 lu4 kou3 an4 er4 shi2 san1 ge5 
 A34_185 qi2 zhong1 san1 shi2 hao4 ju1 min2 shao4 tao2 a1 po2 dang1 chang3 bei4 ya1 si3 ran2 hou4 you4 xiong1 hen3 de5 pu1 xiang4 bei3 yuan2 jiu3 jia1 dong1 lou2 
 A34_190 na4 zhong3 cong2 guo2 wai4 yin3 jin4 de5 yong4 la4 jiao1 jian3 fei2 de5 yang2 wan2 yi4 er5 jiu1 jing4 shi4 chi1 hai2 shi4 wai4 fu1 guang3 gao4 wei4 shuo1 ming2 bu4 de2 er2 zhi1 
 A34_194 can1 jin1 shi4 ca1 zui3 he2 shou2 zhi3 de5 bei1 bian1 qing3 yong4 can1 zhi3 ca1 shi4 lian3 shang4 de5 han4 huo4 zhan1 shang5 de5 shui3 zhi1 qing3 yong4 zi4 ji3 de5 shou3 juan4 ca1 diao4 
 A34_20 wa2 wa5 yu2 de5 sheng1 huo2 xi2 xing4 te4 shu1 bu2 yi4 ren2 gong1 wei4 yang3 ran2 er2 you2 ke4 que4 bu4 zhi1 zhe4 xie1 zhi3 tu2 xi1 qi2 hao3 wan2 sui2 yi4 bu3 zhuo1 
 A34_203 kai1 luan2 kuang4 wu4 ju2 hou4 lv3 jia1 tuo2 kuang4 zhang1 wen2 you3 zhang1 wen2 fu4 liang3 xiong1 di4 tong2 chao1 chan3 tong2 li4 gong1 tong2 dang1 lao2 dong4 mo2 fan4 
 A34_237 ma3 rui4 kan4 le5 yi4 yan3 you4 tang3 xia4 le5 zhi3 liu2 xia4 yi2 ge4 guang1 jie2 fen3 hong2 shang4 wei4 yin1 jiao3 qi4 de5 sao1 rao3 er2 mi2 lan4 tui4 pi2 de5 jiao3 ya1 
 A34_244 a1 la1 fa3 te4 de5 fu1 ren5 su1 ha1 bao4 zhe5 bu4 man3 wu3 ge4 yue4 de5 nv3 er5 zha1 ha1 wa3 zai4 ye1 su1 dan4 sheng1 de5 ma3 cao2 pang2 liu2 ying3 
 A34_29 xin1 hua2 she4 ji1 duo1 er4 yue4 liu4 ri4 dian4 zui4 jin4 er4 shi2 tian1 lai2 e4 gua1 duo1 er3 quan2 guo2 nve4 ji5 xun4 su4 man4 yan2 yi2 you3 duo1 ren2 si3 wang2 
 A34_36 dai4 ye4 wan3 jian4 shen1 yue4 chu1 yu2 dong1 shan1 rong2 rong5 yue4 hua2 ca1 liang4 xiao3 hu2 ying4 ru4 shui3 zhong1 de5 yue4 hui1 ru2 yu4 pan2 xiao3 hu2 bian4 xiang4 jing4 yue4 
 A34_51 lv3 yu3 you2 de5 shi2 jian1 bi3 wang3 wang3 lv2 chang2 you2 duan3 yu3 you2 ke4 de5 yuan4 wang5 xiang1 bei4 
 A34_63 shi4 ya5 nan2 ren5 yi3 wei2 rang4 jiu3 rang4 yan1 shi4 ji2 pu3 bian4 de5 shi4 ke3 shi4 zhi3 xian4 yu2 yan1 jiu3 ta1 men5 bu2 hui4 fei2 ma3 qing1 qiu2 yu3 you3 gong4 zhi1 
 A34_73 zhe4 ci4 quan2 guo2 qing1 nian2 pai2 qiu2 lian2 sai4 gong4 she4 tian1 jin1 zhou1 shan1 wu3 han4 san1 ge5 sai4 qu1 mei3 ge5 sai4 qu1 de5 qian2 liang3 ming2 jiang4 can1 jia1 fu4 sai4 
 A34_75 chong2 zhen1 di4 ben3 dui4 ta1 po1 wei2 yi3 zhong4 hai2 jia4 lin2 sun1 fu3 yi3 shi4 en1 chong3 ling4 sun1 yuan2 hua4 gan3 ji1 ti4 ling2 
 A35_2 qi3 ye4 yi1 kao4 ji4 shu4 wa1 qian2 zeng1 xiao4 ta1 fu4 ze2 quan2 chang3 chan2 pin3 zhi4 liang4 yu3 ji4 shu4 pei2 xun4 cheng2 le5 chang3 li3 de5 da4 mang2 ren2 
 A36_100 ke3 shui2 zhi1 wen2 wan2 hou4 ta1 yi1 zhao4 jing4 zi5 zhi3 jian4 zuo3 xia4 yan2 jian3 de5 xian4 you4 cu1 you4 hei1 yu3 you4 ce4 ming2 xian3 bu2 dui4 chen4 
 A36_115 ma3 xiao3 nian2 zuo4 hua4 de5 te4 zheng1 yu3 shen2 yun4 qi2 hua4 feng1 qu1 bie2 yu2 wen2 ren2 hua4 he2 nian2 hua4 ke3 wei4 ya3 su2 gong4 shang3 
 A36_133 cun1 zhi1 bu4 shu1 ji5 ga1 ma3 luo2 bu4 shuo1 xue3 zai1 shi2 quan1 wo1 zhong4 de5 cao3 wei2 chi2 le5 yi2 ge4 ban4 yue4 fou3 ze2 sun3 shi1 geng4 da4 
 A36_151 ta1 qi2 guai4 zi4 ji3 bu4 jin3 wu2 yi1 si1 xu1 qie4 jing4 you2 zhong3 yu3 dui4 shou3 pin1 sha1 jiao4 liang5 yue4 yue4 yu4 shi4 de5 xin1 jing4 
 A36_158 qi1 shi5 er4 sui4 de5 huang2 pu3 qu1 di4 yi1 yin3 shi2 gong1 si1 tui4 xiu1 zhi2 gong1 shen3 zhi4 ping2 shen1 ban3 ying4 lang5 yin1 wei4 lao3 ban4 wo4 chuang2 yang3 bing4 bian4 cheng2 le5 gao1 ling2 ma3 da4 sao3 
 A36_163 ta1 qiong2 zhui1 bu4 she3 shen1 wa1 xi4 cha2 zhong1 yu2 nong4 qing1 bei4 gao4 yu3 gai1 nai3 niu2 zhan4 shi4 liang3 kuai4 pai2 zi5 yi1 tao4 ban1 zi5 
 A36_177 po4 chan3 zhai4 wu4 wei2 po4 chan3 zhai4 hu4 suo2 you3 zhai4 quan2 ren2 de5 gong4 tong2 sun3 shi1 an4 zhai4 quan2 fa1 sheng1 e2 ping2 jun1 fen1 tan1 huo4 chong1 jian3 zhai4 quan2 
 A36_203 kai1 luan2 kuang4 wu4 ju2 hou4 lv3 jia1 tuo2 kuang4 zhang1 wen2 you3 zhang1 wen2 fu4 liang3 xiong1 di4 tong2 chao1 chan3 tong2 li4 gong1 tong2 dang1 lao2 dong4 mo2 fan4 
 A36_208 ci3 an4 zhong1 dao4 qie4 wen2 wu4 de5 liu2 nong2 jun1 liu2 jin4 wen2 xi1 shan1 li3 jun1 deng3 si4 ming2 zhu3 fan4 ye3 zai4 jiu3 yue4 shi2 ba1 ri4 bei4 yi1 fa3 pan4 chu3 
 A36_233 an1 di4 si1 ji2 tuan2 you2 bo1 li4 wei2 ya4 ge1 lun2 bi3 ya4 e4 gua1 duo1 er3 bi4 lu3 he2 wei3 nei4 rui4 la1 wu3 guo2 zu3 cheng2 
 A36_245 zhen1 shi4 cong1 ming2 fan3 bei4 cong1 ming2 wu4 chang2 zhang3 deng3 ren2 yin1 fan4 you3 bao1 bi4 zui4 tong2 qie4 zei2 yi4 qi3 bei4 guan1 jin4 le5 ban1 fang2 
 A36_40 she4 xiang3 yao4 hai3 kuo4 tian1 kong1 guan1 cha2 yao4 quan2 mian4 xi4 zhi4 li4 lun4 yao4 you3 gen1 you3 ju4 zhe4 shi4 ou1 yang2 zi4 yuan3 de5 zhi4 xue2 zhun3 ze2 
 A36_52 qing1 cao3 you4 song1 you4 ruan3 wai1 wai1 qu1 qu5 de5 zhui1 sui2 zhe5 dao4 lu4 xiang4 yuan3 chu4 yan2 shen1 
 A36_59 yi2 dan4 yu4 dao4 lie4 wu4 li4 ji2 yong4 jiao3 xu1 qian2 zhu4 yi3 ba5 gou1 zhuan3 yong4 yi3 ci4 zhu4 she4 yi4 zhen1 jiang1 lie4 wu4 du2 si3 
 A36_68 lian2 guang3 xi1 na4 yang4 de5 bian1 yuan3 sheng3 qu1 jia1 dian4 wei2 xiu1 pei2 xun4 jie2 ye4 xue2 yuan2 ye3 chao1 guo4 le5 shi2 wan4 ren2 
 A36_88 cheng2 ran2 bing4 fei1 suo2 you3 wu3 tuan2 dou1 xiang4 ba1 lei2 wu3 tuan2 na4 yang4 xing4 yun4 ba1 lei2 wu3 tuan2 ye3 bing4 fei1 suo2 you3 ju4 mu4 dou1 shou4 huan1 ying2 
 A4_10 pao4 yan3 da2 hao3 le5 zha4 yao4 zen3 me5 zhuang1 yue4 zheng4 cai2 yao3 le5 yao3 ya2 shu1 de5 tuo1 qu4 yi1 fu5 guang1 bang3 zi5 chong1 jin4 le5 shui3 cuan4 dong4 
 A4_125 gong1 chang3 he2 chang3 fang2 yi1 shan1 er2 jian4 quan2 bu4 pei4 bei4 pai2 wu1 xi4 tong3 ni3 jian4 bu2 dao4 hei1 yan1 ting1 bu2 dao4 zao4 sheng1 ye3 kan4 bu2 dao4 wu1 shui3 
 A4_140 ya4 xiao1 an4 lei4 zai4 bian4 zhi4 de5 shi2 wu4 zhong1 han2 liang4 bi3 jiao4 duo1 suo2 yi3 ying1 shao3 chi1 xie1 yan1 rou4 yan1 cai4 xun1 yu2 zhi1 lei4 de5 shi2 pin3 
 A4_157 chu2 qi1 hai4 bao1 kuo4 sao3 chu2 mai4 yin2 piao2 chang1 ju4 zhong4 du3 bo2 xi1 shi2 fan4 yun4 du2 pin3 guai3 mai4 fu4 nv3 er2 tong2 deng3 
 A4_182 shang4 wu3 jiu3 shi2 sui2 zhe5 tian1 jin1 min2 yuan2 ti3 yu4 chang3 nei4 fa1 ling4 qiang1 yi4 sheng1 cui4 xiang3 liu4 shi2 yi4 ming2 nv3 yun4 dong4 yuan2 feng1 yong1 qi2 pao3 
 A4_197 tian1 gong1 bu4 zuo4 mei3 dang4 tian1 wan3 kai1 shi3 zhuan3 yin1 xia4 yu3 ci4 ri4 qing1 chen2 reng2 yin1 yun2 mi4 bu4 ren2 men5 ju3 sang4 de5 zhun3 bei4 che4 li2 
 A4_204 shi3 yong4 zui4 fang1 bian4 de5 suo2 yin3 shi4 zheng4 wen2 ci2 tiao2 an4 zhao4 han4 yu3 pin1 yin1 fang1 an4 pai2 lie4 zhe4 yang4 ke3 zhi2 jie1 an4 zhao4 yin1 xu4 cha2 zhao3 zheng4 wen2 
 A4_209 bi4 kai1 dui4 fang1 lei2 da2 zhui1 zong1 de5 mi4 jue2 zai4 yu2 zai4 ji1 ti3 shang4 pen1 tu2 de5 te4 shu1 tu2 liao4 er2 zhe4 zhong3 te4 shu1 tu2 liao4 shi4 ri4 ben3 yan2 zhi4 de5
 A4_210 zhi3 yuan2 tu1 wei2 dao3 wu2 fang1 xiang1 jiang1 sun3 shi1 wei1 yi3 zun1 yi4 zheng4 que4 zuo4 jue2 ce4 yong2 meng3 fei1 sha1 qian1 gu3 song4 
 A4_235 li3 rui4 huan2 shuo1 zhong1 jian3 you3 yi4 shi4 zhong1 guo2 lao3 yi2 bei4 ling2 dao3 ren2 he2 guo2 wang2 bi4 xia4 qin1 shou3 di4 zao4 de5 jing1 shou4 le5 ge4 zhong3 feng1 lang4 de5 kao3 yan4 
 A4_240 tan2 hua1 yi2 xian4 de5 wang2 shu1 wen2 gai3 ge2 you2 yu2 fa1 sheng1 zai4 tang2 shun4 zong1 yong3 zhen1 nian2 jian1 suo2 yi3 you4 bei4 cheng1 wei2 yong3 zhen1 ge2 xin1 
 A4_243 you3 san1 bai3 wu3 shi2 san1 hu4 ren2 jia5 zai4 er2 hai3 wang3 xiang1 yang3 yu2 ba1 shi5 wu3 mu3 chan3 yu2 si4 bai3 duo1 dun1 ping2 jun1 mu2 chan3 da2 dao4 wu3 qian1 si4 bai2 wu3 shi2 gong1 jin1 
 A4_26 deng3 cong2 yun1 yun5 hu1 hu1 zhong1 xing3 zhuan3 lai2 shi2 jian1 yi3 jing1 diu1 xia4 yi2 chuan4 chang2 chang2 de5 jiao3 yin4 xiao1 shi4 de5 wu2 ying3 wu2 zong1 
 A4_4 ta1 kan4 kan5 ye4 ji3 hen3 shen1 bai2 tian1 de5 yan2 re4 yi3 gei3 ye4 liang2 chui1 san4 fen1 fu4 da4 jia1 ge4 zi4 an1 xi1 ming2 tian1 ji4 xu4 wan2 le4 
 A4_48 mu4 qian2 nei4 meng2 gu3 yong1 you3 meng2 yi1 yuan4 er4 shi2 qi1 suo3 zhong1 meng2 yi1 yuan4 shi2 jiu3 suo3 zhong1 meng2 yi1 yan2 jiu1 suo3 qi1 chu4 
 A4_52 qing1 cao3 you4 song1 you4 ruan3 wai1 wai1 qu1 qu5 de5 zhui1 sui2 zhe5 dao4 lu4 xiang4 yuan3 chu4 yan2 shen1 
 A4_74 kong1 jun1 hang2 kong1 bing1 mou3 bu4 nv3 fei1 xing2 yuan2 wang2 qin2 ke4 ku3 zuan1 yan2 fei1 xing2 ji4 neng2 zui4 jin4 kua4 ru4 le5 quan2 tian1 hou4 fei1 xing2 yuan2 hang2 lie4 
 A6_0 lv4 shi4 yang2 chun1 yan1 jing3 da4 kuai4 wen2 zhang1 de5 di3 se4 si4 yue4 de5 lin2 luan2 geng4 shi4 lv4 de5 xian1 huo2 xiu4 mei4 shi1 yi4 ang4 ran2 
 A6_108 ru2 yan1 ban4 huang2 gua1 jiang1 huang2 gua1 xi3 jing4 qie1 pian4 hou4 yong4 yan2 yan1 ban4 xiao3 shi2 zuo3 you4 shi2 yong4 shi2 jia1 tang2 cu4 ma2 you2 ji2 ke3 
 A6_109 jie2 guo3 bu4 wa3 wan4 bu4 zhi1 zen3 me5 wei4 neng2 ba3 san3 da3 kai1 er2 shuai1 si3 er2 ka3 te4 lin2 cao1 zong4 jiang4 luo4 san3 an1 ran2 zhao2 de5 
 A6_11 zha2 yi1 cai3 fu1 shi2 zhuang1 bu4 jin3 nv3 zhuang1 gao1 ya3 nan2 zhuang1 ye3 xin1 ying3 bu4 jin3 biao2 yan3 shi2 zhuang1 bie2 zhi4 zhi2 ye4 nv3 zhuang1 ye3 mei4 li4 zui4 ren2 
 A6_128 jin3 hui4 hua4 er2 lun4 qi2 bai2 shi2 shi4 wei1 wei1 kun1 lun2 ke3 zhe4 wei4 fu4 yong1 feng1 ya3 de5 men2 wai4 han4 lian2 yi2 kuai4 shi2 tou5 dou1 bu2 shi4 
 A6_138 jing1 guo5 shang4 shang4 xia4 xia4 de5 gong4 tong2 nu3 li4 e4 zhi4 le5 wai4 zi1 e2 xia4 jiang4 de5 qu1 shi4 chu1 xian4 wai4 zi1 e2 da4 fu2 du4 hui2 sheng1 de5 ju2 mian4 
 A6_141 zhong1 guo2 chu2 ge4 bie2 yun4 dong4 yuan2 yu3 wai4 guo2 xuan2 shou3 zu3 dui4 can1 jia1 shuang1 da3 yu4 xuan3 sai4 wai4 jun1 jiang1 zhi2 jie1 jin4 ru4 zheng4 sai4 
 A6_145 ni3 men5 da4 jia1 chi1 cang1 ying5 wo3 ye3 gen1 zhe5 chi1 cang1 ying5 ni3 men5 yuan4 yi4 chi1 wen2 zi5 wo3 jiu4 gen1 zhe5 chi1 wen2 zi5 shen2 me5 shi4 bu2 yong4 wen4 wo3 
 A6_16 yao4 zhi1 dao4 qin2 yong3 er4 hao4 keng1 de5 jun1 zhen4 xing4 zhi5 shou3 xian1 yao4 liao2 jie3 yi2 xia4 xue2 zhe3 men5 guan1 yu2 qin2 yong3 yi1 hao4 keng1 jun1 zhen4 xing4 zhi5 de5 tan4 tao3 
 A6_171 shen1 ye4 shi2 er4 dian3 zhong1 ta1 zhan4 zai4 shao4 wei4 shang4 huan2 shi4 zhou1 wei2 yin1 sen1 ke3 bu4 yue4 xiang3 yue4 hai4 pa4 bao4 qiang1 ku1 zhe5 pao3 hui2 ying2 fang2 
 A6_20 wa2 wa5 yu2 de5 sheng1 huo2 xi2 xing4 te4 shu1 bu2 yi4 ren2 gong1 wei4 yang3 ran2 er2 you2 ke4 que4 bu4 zhi1 zhe4 xie1 zhi3 tu2 xi1 qi2 hao3 wan2 sui2 yi4 bu3 zhuo1 
 A6_205 zi4 cong2 you3 zhe4 gei3 xia1 zi5 zuo4 qie4 de5 hua4 ta1 kan4 jian4 jie1 shang5 de5 xia1 zi5 jiu4 you2 zhong3 yi4 yang4 de5 gan3 jue2 you4 tao3 yan4 you4 you2 dian3 pa4 
 A6_212 zhe4 wan3 li2 niang2 fan4 gu1 niang5 zai4 you3 li2 niang2 tong4 chu3 ye3 yao4 mei3 yang4 dou1 chi1 yi4 dian3 cai2 suan4 xun2 gui1 zun1 su2 de5
 A6_231 si4 shi4 dui4 quan2 ti3 yuan2 gong1 jia1 qiang2 wai4 yu3 pei2 xun4 yan2 ge2 wai4 yu3 kao3 shi4 bing4 ba3 wai4 yu3 cheng2 ji4 he2 ben3 ren2 de5 jing1 ji4 shou1 ru4 gua4 gou1 
 A6_247 zhong1 ao4 jing1 mao4 he2 zuo4 fa1 zhan3 ru2 ci3 zhi1 kuai4 ao4 fang1 reng2 gan3 bu4 zu2 ke3 jian4 ao4 zheng4 fu3 zhi4 ding4 rong2 ru4 ya4 zhou1 zhi1 ji2 qie4 
 A6_3 cai4 zuo4 hao3 le5 yi4 wan3 qing1 zheng1 wu3 chang1 yu2 yi4 wan3 fan1 qie2 chao3 ji1 dan4 yi4 wan3 zha4 cai4 gan1 zi3 chao3 rou4 si1 
 A6_41 xin1 hua2 she4 bo1 en1 yi1 yue4 san1 ri4 xiao1 xi5 xi1 de2 ren2 lei4 xue2 jia1 jing1 kao2 gu3 fa1 xian4 yuan3 zai4 shi2 qi4 shi2 dai4 de5 ren2 jiu4 huan4 you3 ai2 zheng4 
 A6_77 yi1 jiu3 jiu2 wu3 nian2 yi1 yue4 wen1 zhou1 shi4 wei3 fu4 mi4 shu1 zhang3 weng1 jin3 wu3 lai2 jie1 ren4 ou1 hai3 qu1 wei3 shu1 ji5 
 A6_78 ban4 ge5 duo1 shi4 ji4 qian2 ri4 jun1 xiu1 zhu4 de5 hao2 qian4 yi1 ran2 jiang1 she2 ban1 heng2 wo4 hei1 feng1 kou3 liang3 ce4 huang1 shan1 ye2 ling3 zhuo2 tong4 wo3 de5 mu4 guang1 
 A6_89 zai4 sang1 can2 sheng1 chan3 chu4 yu2 bu4 jing3 qi4 de5 xing2 shi4 xia4 guang3 xi1 yong3 fu2 xian4 san1 huang2 xiang1 can2 nong2 jin1 nian2 que4 ji1 ji2 hu4 li3 sang1 miao2 fa1 zhan3 yang3 can2 
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 A7_109 jie2 guo3 bu4 wa3 wan4 bu4 zhi1 zen3 me5 wei4 neng2 ba3 san3 da3 kai1 er2 shuai1 si3 er2 ka3 te4 lin2 cao1 zong4 jiang4 luo4 san3 an1 ran2 zhao2 de5 
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 A7_135 yi2 ding4 hai2 you3 bie2 yang4 de5 sheng1 huo2 you3 cheng2 shi4 you3 yin1 yue4 you3 yao2 wang4 yuan3 fang1 shi4 wu4 de5 deng3 dai4 you3 ling4 ren2 kuang2 xi3 de5 fa1 xian4 
 A7_157 chu2 qi1 hai4 bao1 kuo4 sao3 chu2 mai4 yin2 piao2 chang1 ju4 zhong4 du3 bo2 xi1 shi2 fan4 yun4 du2 pin3 guai3 mai4 fu4 nv3 er2 tong2 deng3 
 A7_162 gai1 zhong1 zhong4 yue1 shi2 si4 dun1 mei3 zou3 yi4 xiao3 shi2 jiu4 fa1 chu1 shen1 chen2 keng1 qiang1 de5 bao4 shi2 sheng1 niao2 niao3 yu2 yin1 yao2 yuan3 ke3 wen2 
 A7_185 qi2 zhong1 san1 shi2 hao4 ju1 min2 shao4 tao2 a1 po2 dang1 chang3 bei4 ya1 si3 ran2 hou4 you4 xiong1 hen3 de5 pu1 xiang4 bei3 yuan2 jiu3 jia1 dong1 lou2 
 A7_194 can1 jin1 shi4 ca1 zui3 he2 shou2 zhi3 de5 bei1 bian1 qing3 yong4 can1 zhi3 ca1 shi4 lian3 shang4 de5 han4 huo4 zhan1 shang5 de5 shui3 zhi1 qing3 yong4 zi4 ji3 de5 shou3 juan4 ca1 diao4 
 A7_197 tian1 gong1 bu4 zuo4 mei3 dang4 tian1 wan3 kai1 shi3 zhuan3 yin1 xia4 yu3 ci4 ri4 qing1 chen2 reng2 yin1 yun2 mi4 bu4 ren2 men5 ju3 sang4 de5 zhun3 bei4 che4 li2 
 A7_199 gai1 yuan4 te4 pin4 qian2 wei3 chang2 tang2 ke4 wei2 gu4 wen4 nie4 wei4 ping2 wei2 ming2 yu4 yuan4 zhang3 
 A7_205 zi4 cong2 you3 zhe4 gei3 xia1 zi5 zuo4 qie4 de5 hua4 ta1 kan4 jian4 jie1 shang5 de5 xia1 zi5 jiu4 you2 zhong3 yi4 yang4 de5 gan3 jue2 you4 tao3 yan4 you4 you2 dian3 pa4 
 A7_211 kai1 fa1 qu1 yi3 hang2 ye4 gui1 hua4 fen1 wei2 gong1 ye4 qu1 shang1 mao4 qu1 lv3 you2 qu1 sheng1 huo2 qu1 he2 gong1 gong4 jian4 zhu4 qu1 
 A7_218 yi3 gan1 bing4 du2 fei1 chang2 wan2 gu4 huan4 bing4 hou4 wang2 wang3 chang2 qi1 bu4 neng2 quan2 yu4 er2 qie3 man4 xing4 yi3 xing2 gan1 yan2 hai2 you3 ke3 neng2 zhuan3 wei2 gan1 ai2 
 A7_219 zhe4 peng2 you5 ye3 xiang4 tan2 lian4 ai4 yi2 yang4 dei3 jiang3 yuan2 fen4 you3 yuan2 fen4 shi4 bu2 yong4 ke4 yi4 qu4 zhui1 qiu2 de5 
 A7_229 qu4 nian2 shi2 yue5 you2 yu2 da4 suan4 zhi4 xiao1 cun1 li3 yi2 wan4 duo1 gong1 jin1 da4 suan4 yan3 kan4 yao4 fa1 ya2 huai4 diao5 
 A7_29 xin1 hua2 she4 ji1 duo1 er4 yue4 liu4 ri4 dian4 zui4 jin4 er4 shi2 tian1 lai2 e4 gua1 duo1 er3 quan2 guo2 nve4 ji5 xun4 su4 man4 yan2 yi2 you3 duo1 ren2 si3 wang2 
 A7_40 she4 xiang3 yao4 hai3 kuo4 tian1 kong1 guan1 cha2 yao4 quan2 mian4 xi4 zhi4 li4 lun4 yao4 you3 gen1 you3 ju4 zhe4 shi4 ou1 yang2 zi4 yuan3 de5 zhi4 xue2 zhun3 ze2 
 A7_62 ben3 shu1 zhong1 de5 cong2 bai2 cao3 yuan2 dao4 san1 wei4 shu1 wu1 teng2 ye3 xian1 sheng5 fan4 ai4 nong2 deng3 pian1 bei4 xuan3 ru4 zhong1 xue2 yu3 wen2 ke4 ben3 
 A7_93 bu2 shi4 chui1 niu2 ye3 ke3 neng2 shi4 zi4 wo3 yao1 qiu2 jiao4 gao1 yu3 wo3 xiang1 shu2 de5 yun4 dong4 yuan2 da4 duo1 shi4 you3 zhui1 qiu2 de5 ren2 
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 A8_107 xiang1 gang3 yan3 yi4 quan1 huan1 ying2 mao2 a1 min3 jia1 meng2 wu2 xian4 tai2 yu3 hua2 xing1 yi4 xie1 zhong4 da4 de5 yan3 chang4 huo2 dong4 dou1 yao1 qing3 ta1 chu1 chang3 you2 ji3 ci4 hai2 te4 yi4 an1 pai2 ya1 zhou4 yan3 chu1 
 A8_108 ru2 yan1 ban4 huang2 gua1 jiang1 huang2 gua1 xi3 jing4 qie1 pian4 hou4 yong4 yan2 yan1 ban4 xiao3 shi2 zuo3 you4 shi2 yong4 shi2 jia1 tang2 cu4 ma2 you2 ji2 ke3 
 A8_115 ma3 xiao3 nian2 zuo4 hua4 de5 te4 zheng1 yu3 shen2 yun4 qi2 hua4 feng1 qu1 bie2 yu2 wen2 ren2 hua4 he2 nian2 hua4 ke3 wei4 ya3 su2 gong4 shang3 
 A8_142 dan4 bu2 yao4 dui4 ma3 dao3 yi4 yong1 er2 shang4 luan4 chao3 luan4 shuo1 fang2 zhi3 ji1 hua4 mao2 dun4 fa1 sheng1 yi4 wai4 chong1 tu1 
 A8_152 sai4 ju4 wei2 zhi2 ye4 yun4 dong4 yuan2 zui4 chang2 er4 shi2 si4 qian1 mi3 ye4 yu2 yun4 dong4 yuan2 zui4 chang2 er4 shi2 yi1 qian1 mi3 qing1 nian2 yun4 dong4 yuan2 zui4 chang2 shi2 wu3 qian1 mi3 
 A8_154 zhu1 chen2 zai4 yao3 ya2 pin1 bo2 ta1 de5 dui4 you3 wang2 lei3 wang2 pin2 ye3 fen1 bie2 zai4 yu3 ha1 ge2 luo4 wa2 xi1 jia1 li3 ke1 wa2 ku3 zhan4 
 A8_171 shen1 ye4 shi2 er4 dian3 zhong1 ta1 zhan4 zai4 shao4 wei4 shang4 huan2 shi4 zhou1 wei2 yin1 sen1 ke3 bu4 yue4 xiang3 yue4 hai4 pa4 bao4 qiang1 ku1 zhe5 pao3 hui2 ying2 fang2 
 A8_173 yuan2 chan3 ou1 zhou1 de5 wu4 wang4 cao3 qi2 mao4 bu4 yang2 dan4 ming2 wen2 ou1 ya4 su2 cheng1 wu4 wang4 wo3 huo4 wu2 wang4 wo3 
 A8_181 dui4 quan2 bu4 yun4 kuan3 che1 jin4 xing2 gai3 zao4 da2 dao4 fang2 qiang3 fang2 dao4 yao1 qiu2 bing4 wei4 quan2 ti3 ya1 yun4 ren2 yuan2 pei4 bei4 le5 fang2 dan4 tou2 kui1 he2 fang2 dan4 fu2 
 A8_201 zhu3 yao4 yuan2 yin1 shi4 shi4 jie4 hong2 bai2 teng2 zhu2 chan3 guo2 yin4 ni2 jin4 zhi3 hong2 bai2 teng2 yuan2 liao4 chu1 kou3 dao3 zhi4 guo2 ji4 hong2 bai2 teng2 yuan2 liao4 jia4 ge2 shang4 zhang3 
 A8_209 bi4 kai1 dui4 fang1 lei2 da2 zhui1 zong1 de5 mi4 jue2 zai4 yu2 zai4 ji1 ti3 shang4 pen1 tu2 de5 te4 shu1 tu2 liao4 er2 zhe4 zhong3 te4 shu1 tu2 liao4 shi4 ri4 ben3 yan2 zhi4 de5
 A8_235 li3 rui4 huan2 shuo1 zhong1 jian3 you3 yi4 shi4 zhong1 guo2 lao3 yi2 bei4 ling2 dao3 ren2 he2 guo2 wang2 bi4 xia4 qin1 shou3 di4 zao4 de5 jing1 shou4 le5 ge4 zhong3 feng1 lang4 de5 kao3 yan4 
 A8_33 yu3 wang2 wei3 si4 ping2 shi4 huo4 che1 si1 ji1 du4 da4 ping2 yue4 yu4 jie2 zhuang1 xie4 gong1 liu2 chun1 shan1 yi4 tong2 zhui1 gan3 tao2 pao3 de5 an4 fan4 
 A8_40 she4 xiang3 yao4 hai3 kuo4 tian1 kong1 guan1 cha2 yao4 quan2 mian4 xi4 zhi4 li4 lun4 yao4 you3 gen1 you3 ju4 zhe4 shi4 ou1 yang2 zi4 yuan3 de5 zhi4 xue2 zhun3 ze2 
 A8_51 lv3 yu3 you2 de5 shi2 jian1 bi3 wang3 wang3 lv2 chang2 you2 duan3 yu3 you2 ke4 de5 yuan4 wang5 xiang1 bei4 
 A8_67 chi4 tie3 kuang4 de5 cheng2 fen4 shi4 san1 yang3 hua4 er4 tie3 yan2 se4 cheng2 an4 hong2 se4 huo4 gang1 hui1 se4 ta1 yin1 fen3 mo4 cheng2 hong2 se4 er2 de2 ming2 
 A8_77 yi1 jiu3 jiu2 wu3 nian2 yi1 yue4 wen1 zhou1 shi4 wei3 fu4 mi4 shu1 zhang3 weng1 jin3 wu3 lai2 jie1 ren4 ou1 hai3 qu1 wei3 shu1 ji5 
 A8_8 yang2 zhuo2 yong1 hu2 chou1 shui3 xu4 neng2 dian4 chang3 shi4 mu4 qian2 shi4 jie4 shang5 hai3 ba2 zui4 gao1 de5 chou1 shui3 xu4 neng2 dian4 chang3 ye3 shi4 xi1 zang4 zui4 da4 de5 neng2 yuan2 ji1 di4 
 A8_92 jie1 yang2 cheng2 wei2 wai4 shang1 tou2 zi1 xin1 re4 dian3 jian4 shi4 yi4 nian2 yin3 jin4 wai4 zi1 shi2 wu3 yi4 mei3 yuan2 
 A8_98 quan2 dang3 bi4 xu1 jin2 jin3 tuan2 jie2 zai4 yi3 jiang1 ze2 min2 tong2 zhi4 wei2 he2 xin1 de5 dang3 zhong1 yang1 zhou1 wei2 yi4 xin1 yi2 yi4 wen3 zha1 wen2 da3 gong4 chuang4 wei4 lai2 
 A9_0 lv4 shi4 yang2 chun1 yan1 jing3 da4 kuai4 wen2 zhang1 de5 di3 se4 si4 yue4 de5 lin2 luan2 geng4 shi4 lv4 de5 xian1 huo2 xiu4 mei4 shi1 yi4 ang4 ran2 
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 B11_253 wo3 men5 yin1 wei4 xin4 fo2 er2 nian4 fo2 yin1 wei4 nian4 fo2 er2 ding4 li4 de2 dao4 zhi4 hui4 yin1 ci3 wo3 men5 nian4 fo2 de5 xi2 guan4 shi4 hao3 xi2 guan4 
 B11_255 si1 li3 lan2 ka3 xi1 wang4 yin4 du4 jin4 kuai4 cong2 si1 che4 jun1 yin4 du4 wai4 zhang3 gu3 jie2 la1 er3 biao3 shi4 jiang1 hen3 kuai4 ji2 yu3 da2 fu4 
 B11_268 peng4 shang5 ai4 wan2 qie3 neng2 wan2 wu4 cheng2 chi1 wan2 wu4 cheng2 pi3 de5 ren2 zong3 neng2 ling4 ren2 yu2 kuai4 de5 hui4 xin1 yi2 xiao4 
 B11_278 ci3 shi2 de5 liu2 yu4 an1 ben1 zou3 yu2 ge4 da4 yi1 yuan4 qiu2 yi1 wen4 yao4 ye3 gan3 dao4 yi2 ge4 ren2 li4 liang4 de5 wei1 ruo4 pan4 wang4 wai4 bu4 de5 bang1 zhu4 
 B11_330 bu4 wo3 men5 ye3 shi4 zhou1 mo4 lai2 zhe4 li3 wan2 wan5 dan4 lao3 shi1 yao4 wo3 men5 ge2 wai4 zhu4 yi4 zhua1 bao4 yu2 de5 you2 ren2 
 B11_368 zai4 ji4 shu4 gai3 zao4 zhong1 ta1 men5 miao2 zhun3 jie2 neng2 ying2 guang1 deng1 shi4 chang3 cong2 tai2 wan1 yin3 jin4 yi1 tiao2 huan2 xing2 ying2 guang1 deng1 sheng1 chan3 xian4 yi1 tiao2 jie2 neng2 ying2 guang1 deng1 sheng1 chan3 xian4 
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 B11_417 di4 fang1 ying1 yu3 bu4 dui4 lian2 he2 ju3 ban4 yi4 xie1 zhuan1 ye4 wen2 yi4 ren2 cai2 de5 pei2 xun4 yi3 pei2 yang3 geng4 duo1 de5 wen2 yi4 ren2 cai2 
 B11_432 qi2 jian1 ta1 men5 zao1 yu3 lin2 yu4 bao4 shai4 zou3 de5 yao1 suan1 tui3 teng2 e4 le5 chi1 kou3 gan1 liang5 ke3 le5 he1 kou3 shan1 quan2 
 B11_435 wo3 guo2 gu3 dai4 you3 ren2 ceng2 gen1 ju4 yu3 ju4 you2 fou3 ya1 yun4 ba3 wen2 xue2 zuo4 pin3 fen1 wei2 yun4 wen2 yu3 san3 wen2 liang3 ge5 da4 lei4 
 B11_440 min2 yong4 hang2 kong1 qi4 di3 ya1 quan2 shi4 yong4 min2 yong4 hang2 kong1 qi4 guo2 ji2 deng1 ji4 guo2 fa3 lv4 
 B11_447 ru2 yang3 wo4 qi3 zuo4 fu3 wo4 ting3 shen1 yang3 wo4 liang3 tou2 qi3 heng2 cha4 zong4 cha4 hou4 xia4 yao1 cheng2 qiao2 deng3 
 B11_460 cun1 li3 de5 lao3 nian2 ren2 duan1 ran2 su4 ran2 de5 jiu1 zheng4 zhe5 wai4 xiang1 ren2 de5 fa1 yin1 guo4 hou4 hai2 bian1 yao2 tou2 bian1 gan3 tan4 shuo1 wai4 xiang1 ren2 jiu4 shi5 ben4 
 B11_462 dao3 shang5 chu2 le5 tu1 wu4 de5 lin2 xun2 jiao1 shi2 he2 wan1 yan2 tong1 you1 de5 xiao3 lu4 yi3 wai4 quan2 ran2 shi4 yi2 ge4 cao3 mu4 wei1 rui2 de5 lv4 se4 wang2 guo2 
 B11_475 ge4 mian2 fang3 qi3 ye4 bu4 de2 jiang1 sheng1 chan3 yong4 mian2 yong4 yi3 zhuan3 mai4 yi4 jing1 cha2 chu1 ji2 kou4 jian3 yong4 mian2 qi3 ye4 de5 yong4 mian2 liang4 
 B11_495 ci3 wai4 bei3 yue1 hai2 biao3 shi4 zhi1 chi2 e2 zai4 ou1 zhou1 an1 quan2 zu3 zhi1 fan4 wei2 nei4 tao3 lun4 er4 shi5 yi1 shi4 ji4 ou1 zhou1 ji2 quan2 qiu2 an1 quan2 mo2 shi4 de5 ti2 yi4 
 B12_256 zhou1 xin4 fang1 chang2 qi1 zai4 shang4 hai3 yan3 chu1 yu3 wang2 hong2 shou4 wang1 xiao4 nong2 pan1 yue4 qiao2 deng3 xie2 zuo4 bian1 yan3 le5 xu3 duo1 ju4 mu4 
 B12_270 tai4 kong1 chuan2 san1 bai3 liu4 shi2 du4 fan1 zhuan3 yao2 huang4 wo3 gong1 su1 he2 fu2 rui4 qu1 shao4 xiao4 xiang4 fu2 biao1 shi4 de5 bei4 shuai3 lai2 shuai3 qu4 
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 B12_344 ta1 you3 yi2 ge4 fang1 fa3 ao4 tang2 nai4 er3 yong4 yi1 zhong3 jing4 yang3 de5 kou3 qi4 shuo1 xian3 ran2 ta1 zi4 ji3 cong2 lai2 mei2 xiang3 chu1 guo4 shen2 me5 fang1 fa3 
 B12_350 wo3 ceng2 yu4 dao4 yin1 wei4 fu1 se4 suo3 yin2 qi3 de5 guai4 shi4 ye3 ceng2 duo1 ci4 fa1 xian4 dao4 zi4 ji3 shen1 chu3 zhong3 zu2 wen4 ti2 de5 zheng1 yi4 dang1 zhong1 
 B12_371 ji2 hui4 jie2 shu4 shi2 fen4 nu4 de5 ren2 qun2 chong1 xiang4 jie1 tou2 za2 chuang1 zi5 cui1 hui3 shang1 dian4 yu3 ya4 mei3 ni2 ya4 ren2 fa1 sheng1 ji1 lie4 chong1 tu1 
 B12_378 zhe4 wei4 bei4 hai2 zi5 men5 cheng1 wei2 zhang1 ye2 ye5 de5 ren2 jiao4 zhang1 yong3 liang4 shi4 shan1 dong1 sheng3 you1 xiu4 gong4 chan2 dang3 yuan2 ji3 ning2 shou4 yao4 chang3 chang2 zhang3 
 B12_380 hua2 guo4 yi1 quan1 you4 yi1 quan1 zhong1 yu2 you3 yi1 wei4 yun4 dong4 yuan2 ting2 xia4 lai5 jie1 guo4 ta1 song4 shang4 de5 shui3 bei1 le4 de5 ta1 you4 beng4 you4 tiao4 
 B12_384 shao3 bu4 fen5 zao3 shi4 miao2 mei3 zhu1 hai2 mai4 le5 wu3 liu4 fen1 qian2 da4 bu4 fen5 ai3 hua4 qiao2 hua4 miao2 mu4 zhi2 hao3 cheng2 kun3 cheng2 dui1 de5 shai4 gan1 dang1 chai2 shao1 
 B12_387 gai1 zhen4 mou3 cun1 ban4 zhi3 xiang1 chang3 qu4 nian2 chun1 tian1 shi1 huo3 sui1 sun3 shi1 can3 zhong4 dan4 yin1 wei4 ban4 bao2 xian3 kao4 cun1 min2 juan1 kuan3 cai2 du4 guo4 nan2 guan1 
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 B12_438 liu3 qian4 a1 lao3 deng3 zhu4 ming2 shu1 hua4 jia1 ying4 yao1 qian2 wang3 you4 er2 yuan2 yu3 yi4 shu4 ban1 de5 er2 tong2 men5 tong2 zhuo1 hui1 hao2 po1 mo4 chuan2 shou4 ji4 yi4 
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 B12_461 feng1 ping2 lang4 jing4 de5 qi1 hei1 wu3 ye4 wang2 yun2 zhou1 wang2 xin1 huai2 wang2 yang2 zi5 shou3 xian1 fa1 xian4 guai4 wu5 shan3 zhe5 hong2 guang1 de5 yan3 jing5 
 B12_486 xin1 hua2 she4 wei2 ye3 na4 er4 yue4 er4 shi2 er4 ri4 dian4 wei2 ye3 na4 ou1 zhou1 chang2 gui1 cai2 jun1 di4 wu3 lun2 hui4 tan2 jin1 tian1 zai4 zhe4 li3 jie2 shu4 
 B12_489 qing1 dai4 xue2 zhe3 cheng1 zhui1 wei2 zhong4 ni2 wen2 wang4 zhi1 long2 ze2 zai4 liu4 ji2 kong2 zi3 yin1 shou3 kai1 si1 xue2 zheng3 xiu1 gu3 ji2 shou1 tu2 jiang3 xue2 er2 cheng2 wan4 shi4 shi1 biao3 
 B15_255 si1 li3 lan2 ka3 xi1 wang4 yin4 du4 jin4 kuai4 cong2 si1 che4 jun1 yin4 du4 wai4 zhang3 gu3 jie2 la1 er3 biao3 shi4 jiang1 hen3 kuai4 ji2 yu3 da2 fu4 
 B15_265 can1 zhan4 jun1 sui1 ran2 mei2 you3 can1 jia1 dui4 de2 zhan4 zheng1 dan4 you3 shi2 wan4 hua2 gong1 bei4 pai4 fu4 ou1 zhou1 zhan4 chang3 wei4 xie2 yue1 guo2 jun1 dui4 yun4 shu1 dan4 yao4 ji2 yang3 he2 xiu1 zhu4 gong1 shi4 
 B15_266 an4 jie2 yue1 dian4 li4 ji4 suan4 dao4 er4 ling2 ling2 ling2 nian2 ke3 jian2 shao3 er4 yang3 hua4 liu2 pai2 fang4 er4 shi2 wan4 dun1 er4 yang3 hua4 tan4 pai2 fang4 qi1 bai3 si4 shi2 wan4 dun1 
 B15_276 zhe4 zhong3 yi4 miao2 neng2 gou4 yu4 fang2 yang3 zhi2 de5 da4 ma3 ha1 yu2 he2 zun1 yu2 de5 jie1 bing4 yi4 miao2 de5 shi3 yong4 ke2 yi3 da4 da4 jian2 shao3 shui2 chan3 yang3 zhi2 ye4 zhong1 suo3 guang3 fan4 shi3 yong4 de5 kang4 jun3 su4 
 B15_305 ta1 de5 sun1 nv3 ru2 jin1 ai4 chi1 huo3 jian4 xiao3 xi1 gua1 wang4 zai3 bang4 bang4 bing1 na3 yi1 zhong3 zhi4 shao3 dou1 yao4 yi4 liang3 kuai4 qian2 
 B15_310 qu4 nian2 qiu1 tian1 hua2 long2 ji2 tuan2 gong1 si1 yu3 nan2 ao4 xian4 ren2 min2 zheng4 fu3 zheng4 shi4 qian1 yue1 lian2 he2 kai1 fa1 yan1 dun1 wan1 wan4 dun1 ji2 shen1 shui2 gang3 
 B15_324 gong1 yuan2 qian2 er4 ling2 liu4 nian2 qin2 zhao1 mie4 wang2 hou4 xiang4 yu3 zi4 li4 wei2 xi1 chu3 ba4 wang2 feng1 liu2 bang1 wei2 han4 wang2 
 B15_329 you2 yu2 er4 shi2 wu3 shi3 shi4 yong4 gu3 wen2 yan2 wen2 zhuan4 xie3 yu3 ci2 jian1 se4 qie3 juan4 zhi4 pang2 da4 yi4 ban1 du2 zhe3 nan2 yi3 yue4 du2 
 B15_330 bu4 wo3 men5 ye3 shi4 zhou1 mo4 lai2 zhe4 li3 wan2 wan5 dan4 lao3 shi1 yao4 wo3 men5 ge2 wai4 zhu4 yi4 zhua1 bao4 yu2 de5 you2 ren2 
 B15_346 ju4 sang1 jie2 zha2 ba1 shu1 ji5 tou4 lu4 ming2 nian2 hai2 yao4 kai1 tong1 cheng2 kong4 zhi2 bo1 dian4 hua4 yan3 xia4 suo3 xu1 she4 bei5 yi3 yun4 dao4 le5 ba1 yi1 zhen4 
 B15_353 duan3 zan4 xing4 nao3 que1 xue4 fa1 zuo4 de5 bing4 li3 ji1 chu3 shi4 lu2 nei4 nao3 dong4 mai4 xi4 tong3 zhou1 yang4 ying4 hua4 qi2 zhou1 yang4 ban1 kuai4 tuo1 luo4 yin2 qi3 lu2 nei4 xiao3 xue4 guan3 bi4 se4 er2 fa1 bing4 
 B15_359 ma1 ma1 de5 lian3 se4 yi3 jing1 bian4 de5 xiang4 huang2 tu3 de5 yan2 se4 yi2 yang4 huang2 liang2 yan3 wu2 guang1 dai1 dai1 de5 kan4 zhe5 wu1 ding3 yi2 dong4 ye3 bu2 dong4 
 B15_366 cong2 yi1 jiu3 ba1 si4 nian2 yuan2 yue4 qi3 quan2 chang3 ceng2 ceng2 kai1 zhan3 yue4 ping2 shi2 jian4 hao3 shi4 huo2 dong4 liu4 nian2 duo1 lai2 cong2 wei4 jian4 duan4 
 B15_369 he2 yun2 you4 heng1 heng5 ji1 ji1 le5 pian4 ke4 kan4 dao4 zhou1 zheng4 ju2 zhang3 dian2 dian3 wan4 shang4 de5 shou2 biao3 cai2 gan3 kuai4 zhuan3 ru4 zheng4 ti2 
 B15_372 zheng1 yue4 chu1 er4 zhao4 lao3 gui1 ju5 shi4 nv3 er5 xie2 gu1 ye5 hui2 niang2 jia5 de5 ri4 zi5 ye3 shi4 lao3 tai4 shan1 zui4 qie4 yi4 de5 shi2 hou5 
 B15_374 xu2 xi1 jun1 xiao1 jin1 sheng1 liu2 wen2 hua2 qu1 yong3 li4 wang2 kai1 yu3 luo4 ying1 deng3 ye3 bei4 fen1 bie2 pan4 chu3 liu4 nian2 zhi4 shi2 wu3 nian2 you3 qi1 tu2 xing2 
 B15_386 hu4 wai4 de5 sheng1 yin1 you3 yuan3 you3 jin4 shi2 fen1 cao2 za2 ke3 lai2 dao4 ta1 wu1 nei4 shi2 dan1 diao4 cheng2 weng1 weng5 sheng1 
 B15_387 gai1 zhen4 mou3 cun1 ban4 zhi3 xiang1 chang3 qu4 nian2 chun1 tian1 shi1 huo3 sui1 sun3 shi1 can3 zhong4 dan4 yin1 wei4 ban4 bao2 xian3 kao4 cun1 min2 juan1 kuan3 cai2 du4 guo4 nan2 guan1 
 B15_388 su1 zhou1 ben3 di4 de5 miao4 guan4 jiu4 hen3 duo1 ding4 hui4 si4 xuan2 miao4 guan4 tao2 hua1 an1 hai2 you3 na4 ling4 li4 dai4 wen2 ren2 qian1 chang2 gua4 du4 de5 han2 shan1 si4 
 B15_390 dan4 lie4 ning2 bing4 mei2 you3 yin1 ci3 er2 fou3 ding4 tuo1 er3 si1 tai4 fan3 er2 cheng1 zan4 ta1 de5 zuo4 pin3 shi4 e2 guo2 ge2 ming4 de5 yi2 mian4 jing4 zi5 
 B15_412 yin1 wei4 biao3 xian4 xing4 hui4 hua4 wang2 wang3 yin1 xing2 xiang4 yin3 yu4 de5 si1 you3 er2 zu3 se4 wo3 men5 dui4 mou3 jian4 zuo4 pin3 de5 shen1 du4 ren4 shi5 
 B15_428 jie3 mei4 lia3 xing4 ge2 tian2 jing4 jie3 jie5 bi3 jiao4 nei4 xiang4 mei4 mei5 ze2 wai4 xiang4 yi4 dian3 er5 dan4 liang3 ren2 dou1 sheng1 xing4 ai4 shui3 yi2 jian4 shui3 jiu4 wan2 ming4 
 B15_439 wang2 tie3 cheng2 dui4 jiao1 qi1 ti3 tie1 ru4 wei1 dui4 lao2 mu3 guan1 huai2 bei4 zhi4 yuan3 jin4 chi2 ming2 dui4 ai4 zi3 bai3 ban1 teng2 ai4 geng4 shi4 lu4 ren2 jie1 zhi1 
 B15_470 tie3 lu4 yao4 cong2 zhe4 li3 pu1 tong1 ta1 bu4 zhun3 wa1 jue2 lao3 jiang1 jun1 song4 cheng2 fu2 dai4 tou2 yi1 xian1 shou3 xian1 wa1 kai1 le5 zi4 ji3 qin1 ren2 de5 mu4 xue2 
 B15_475 ge4 mian2 fang3 qi3 ye4 bu4 de2 jiang1 sheng1 chan3 yong4 mian2 yong4 yi3 zhuan3 mai4 yi4 jing1 cha2 chu1 ji2 kou4 jian3 yong4 mian2 qi3 ye4 de5 yong4 mian2 liang4 
 B15_476 bi3 ru2 zuo4 yi2 dao4 shu4 xue2 ying4 yong4 ti2 gei3 liang3 yuan2 qian2 zuo4 yi1 ci4 yu3 wen2 zuo4 ye4 gei3 wu3 yuan2 qian2 xie3 yi4 pian1 zuo4 wen2 gei3 shi2 yuan2 qian2 
 B15_487 qi4 che1 shi2 er2 bang4 ya2 er2 shi3 shi2 er2 chuan1 xia2 er2 xing2 shi2 er2 yue4 xi1 er2 guo4 shi2 er2 pa2 po1 er2 shang4 
 B22_255 si1 li3 lan2 ka3 xi1 wang4 yin4 du4 jin4 kuai4 cong2 si1 che4 jun1 yin4 du4 wai4 zhang3 gu3 jie2 la1 er3 biao3 shi4 jiang1 hen3 kuai4 ji2 yu3 da2 fu4 
 B22_256 zhou1 xin4 fang1 chang2 qi1 zai4 shang4 hai3 yan3 chu1 yu3 wang2 hong2 shou4 wang1 xiao4 nong2 pan1 yue4 qiao2 deng3 xie2 zuo4 bian1 yan3 le5 xu3 duo1 ju4 mu4 
 B22_260 hua2 bei3 bei3 bu4 han4 qing2 reng2 wei4 jie3 chu2 de5 di4 qu1 ning4 ken3 rang4 xia4 yu4 mi3 zhong3 zi5 xia4 di4 deng3 yu3 ye3 bu2 yao4 chi2 bo1 
 B22_265 can1 zhan4 jun1 sui1 ran2 mei2 you3 can1 jia1 dui4 de2 zhan4 zheng1 dan4 you3 shi2 wan4 hua2 gong1 bei4 pai4 fu4 ou1 zhou1 zhan4 chang3 wei4 xie2 yue1 guo2 jun1 dui4 yun4 shu1 dan4 yao4 ji2 yang3 he2 xiu1 zhu4 gong1 shi4 
 B22_272 ta1 ceng1 ceng1 ceng1 pao3 shang4 lou2 you4 mei2 dai4 jia1 li5 yao4 shi5 you4 ti1 you4 chuai4 you4 zhuang4 men2 ye3 da3 bu4 kai1 
 B22_282 jing3 cha2 ti3 yu4 wu3 xiang4 bi3 sai4 fen1 bie2 wei2 tiao4 yuan3 qian1 qiu2 you2 yong3 she4 ji1 he2 yue4 ye3 pao3 
 B22_285 ji2 lin2 you2 tian2 xin1 li4 cai3 you2 chang3 zhi2 gong1 yu2 guo2 chen2 fu1 fu4 kan1 hu4 zui4 bian1 yuan3 de5 yi4 bai3 ling2 ba1 cai3 you2 dan1 jing3 yi3 zheng2 zheng3 shi2 nian2 
 B22_293 si4 yue4 er4 shi5 liu4 ri4 tong2 deng1 wang4 jiang1 lou2 ping2 lan2 yuan3 tiao4 shan1 luan2 chun1 se4 shu4 yan1 wu4 zhong1 bai2 fan1 dian2 dian3 kan4 liu2 shui3 tao1 tao1 dong1 shi4 
 B22_297 ta1 dai4 biao3 e2 yu3 xue2 yuan4 xiang4 nai4 na4 fu1 ren5 zeng4 song4 le5 yi1 tao4 yu3 pu3 xi1 jin1 e2 yu3 xue2 yuan4 he2 bian1 de5 jiao4 cai2 dong1 fang1 e2 yu3 
 B22_318 ji2 bai3 kuai4 ni2 yan4 zhuang1 jin4 tu3 yao2 shao1 le5 qi1 tian1 bu2 liao4 yi4 sheng1 zha4 lei2 yao2 beng1 le5 jing1 de5 yuan4 zi5 li3 ji1 fei1 gou3 tiao4 zhu1 pao3 quan1 
 B22_325 zhe4 zhi1 bei4 zhan4 ya4 te4 lan2 da4 ao4 yun4 hui4 de5 ji2 xun4 dui4 gong4 you3 er4 shi2 ming2 qiu2 yuan2 ping2 jun1 nian2 ling5 er4 shi2 wu3 sui4 ping2 jun1 shen1 gao1 yi1 mi3 liu4 qi1 
 B22_326 zhong1 guo2 ti3 yu4 za2 zhi4 she4 qi1 yue4 shi2 yi1 ri4 zai4 bei3 jing1 ju3 xing2 le5 xiang4 zhong1 guo2 ao4 yun4 jian4 er2 zeng4 song4 ti3 yu4 she4 ying3 hua4 ce4 yi2 shi4 
 B22_333 nan2 fang1 mou3 shi4 yi1 wei4 yu2 le4 ye4 lao2 ban3 cheng2 yi4 yao1 qing3 ying1 yun3 yi3 mei2 wan3 liang3 wan4 yuan2 de5 ju4 e2 chu1 chang3 fei4 qing3 ta1 wei4 yu2 le4 cheng2 zhu4 xing4 
 B22_339 na4 ci4 bei4 da3 hou4 wo3 de5 shou3 lian2 kuai4 zi5 dou1 na2 bu2 zhu4 shua1 guo4 de5 guo1 yi2 wang3 yi1 yang2 shou3 jiu4 gua4 qi3 lai2 le5 ke3 na4 ci4 qiao4 zhe5 jiao3 ye3 mei2 gua4 shang4 qu5 
 B22_340 jian2 pu3 zhai4 fu4 zhu3 xi2 qiao2 sen1 pan1 jin1 tian1 xia4 wu3 dao4 da2 ya3 jia1 da2 shi2 shuo1 ya3 jia1 da2 hui4 yi5 neng2 fou3 qu3 de2 cheng2 guo3 jiang1 qu3 jue2 yu2 yue4 nan2 
 B22_350 wo3 ceng2 yu4 dao4 yin1 wei4 fu1 se4 suo3 yin2 qi3 de5 guai4 shi4 ye3 ceng2 duo1 ci4 fa1 xian4 dao4 zi4 ji3 shen1 chu3 zhong3 zu2 wen4 ti2 de5 zheng1 yi4 dang1 zhong1 
 B22_352 ta1 na4 liang3 zhi1 gun3 yuan2 de5 da4 yan3 jing5 zha3 le5 zha3 sui2 hou4 lie3 kai1 zui3 xiang4 wo3 fu4 qin5 you2 hao3 de5 xiao4 le5 
 B22_355 shou4 xi1 hu2 wan1 yan2 qu1 zhe2 zhou1 yu3 san4 luo4 shan1 huan2 shui3 bao4 di1 bian1 yi1 zhu1 yang2 liu3 yi1 zhu1 tao2 hong2 lv4 jiao1 ying4 feng1 guang1 xiu4 li4 
 B22_367 zhi4 yu2 hong2 du1 la1 si1 kui2 er3 shi4 zao2 yi3 ding4 hao3 yi1 yue4 er4 shi5 qi1 ri4 yao4 qu4 can1 jia1 gai1 guo2 xin1 zong2 tong3 de5 jiu4 zhi2 yi2 shi4 
 B22_370 qu3 yun2 xia2 wang2 yuan2 cui1 ying3 he2 liu2 dong1 zai4 xia4 wu3 de5 nv2 zi3 yi4 qian1 wu3 bai2 mi3 yu4 sai4 hou4 dou1 han4 liu2 man3 mian4 dan4 zong3 suan4 ji1 shen1 jue2 sai4 
 B22_422 ju4 ke1 wei1 te4 guan1 fang1 xuan1 bu4 zi4 hai3 wan1 zhan4 zheng1 jie2 shu4 yi3 lai2 yi1 la1 ke4 reng2 kou4 ya1 zhe5 da4 yue1 liu4 bai3 san1 shi2 ming2 ke1 wei1 te4 ren2 
 B22_424 yi2 liang4 hong2 se4 de5 yue4 ye3 che1 kai1 le5 chu1 qu4 wo3 hai2 ke2 yi3 ting1 dao4 che1 zi5 wu1 wu1 kai1 yuan3 yin3 qing2 sheng1 ye3 yue4 lai2 yue4 ruo4 le5 
 B22_430 ha1 xin1 du1 a1 ke4 mo4 la1 yuan2 wei2 a1 ke4 mo4 la1 zhou1 shou2 fu3 ren2 kou3 yue1 san1 shi5 wan4 ju4 a1 la1 mu4 tu2 yue1 yi4 qian1 gong1 li3 
 B22_437 mei2 you3 ren2 yuan2 mei2 you3 pai2 lian4 chang3 mei2 you3 zi1 jin1 yang2 hong2 nian2 jiu4 fa1 dong4 quan2 jia1 cheng2 yuan2 nuo2 chu1 le5 zi4 ji3 de5 fang2 jian1 hai2 he2 hai2 zi5 jia1 zhang3 men5 yi4 qi3 tao1 yao1 bao1 
 B22_455 jian4 yuan2 zhi4 jin1 yi2 you3 lu4 da4 er3 yang2 kong3 que4 deng3 zai4 zhe4 li3 sheng1 er2 yu4 nv3 liang3 qian1 duo1 tou2 
 B22_457 zai4 yi2 ge4 ju4 da4 de5 po1 xing2 wa3 ding3 xia4 shang4 bai3 jian1 biao1 zhun3 kai1 jian1 de5 wu1 zi5 yan2 ba1 gua4 xing2 zou3 lang2 zuo3 you4 shun4 xu4 pai2 lie4 
 B22_460 cun1 li3 de5 lao3 nian2 ren2 duan1 ran2 su4 ran2 de5 jiu1 zheng4 zhe5 wai4 xiang1 ren2 de5 fa1 yin1 guo4 hou4 hai2 bian1 yao2 tou2 bian1 gan3 tan4 shuo1 wai4 xiang1 ren2 jiu4 shi5 ben4 
 B22_482 tai4 yuan2 shi4 yang2 quan2 shi4 shuai4 xian1 ban4 qi3 le5 long2 ya3 er2 you4 er2 yuan2 he2 long2 er2 ting1 li4 yu3 xun4 zhong1 xin1 
 B22_487 qi4 che1 shi2 er2 bang4 ya2 er2 shi3 shi2 er2 chuan1 xia2 er2 xing2 shi2 er2 yue4 xi1 er2 guo4 shi2 er2 pa2 po1 er2 shang4 
 B22_493 ting1 de5 chuang1 kou3 bei4 yong4 hei1 bu4 zhe1 de5 yan2 yan2 shi5 shi5 ting1 nei4 hun1 an4 meng2 long2 wei2 you3 ji3 chuan4 hong2 lv4 deng1 pin2 pin5 shan3 shuo4 
 B22_495 ci3 wai4 bei3 yue1 hai2 biao3 shi4 zhi1 chi2 e2 zai4 ou1 zhou1 an1 quan2 zu3 zhi1 fan4 wei2 nei4 tao3 lun4 er4 shi5 yi1 shi4 ji4 ou1 zhou1 ji2 quan2 qiu2 an1 quan2 mo2 shi4 de5 ti2 yi4 
 B2_268 peng4 shang5 ai4 wan2 qie3 neng2 wan2 wu4 cheng2 chi1 wan2 wu4 cheng2 pi3 de5 ren2 zong3 neng2 ling4 ren2 yu2 kuai4 de5 hui4 xin1 yi2 xiao4 
 B2_275 zhi2 gong1 men5 ai4 chang3 ai4 gang3 ai4 chan2 pin3 xin1 wang3 yi2 chu4 xiang3 jin4 er5 wang3 yi2 chu4 shi3 
 B2_282 jing3 cha2 ti3 yu4 wu3 xiang4 bi3 sai4 fen1 bie2 wei2 tiao4 yuan3 qian1 qiu2 you2 yong3 she4 ji1 he2 yue4 ye3 pao3 
 B2_286 yun2 nan2 kun1 ming2 juan3 yan1 chang3 er4 dui4 he2 shan1 dong1 ji3 nan2 juan3 yan1 chang3 jiang1 jun1 dui4 fen1 huo4 nan2 zi3 ya4 jun1 he2 di4 san1 ming2 
 B2_297 ta1 dai4 biao3 e2 yu3 xue2 yuan4 xiang4 nai4 na4 fu1 ren5 zeng4 song4 le5 yi1 tao4 yu3 pu3 xi1 jin1 e2 yu3 xue2 yuan4 he2 bian1 de5 jiao4 cai2 dong1 fang1 e2 yu3 
 B2_302 zhong1 yang1 jun1 wei3 fu4 zhu3 xi2 zhang1 zhen4 chi2 hao4 tian2 guo2 wu4 wei3 yuan2 luo2 gan4 zhong1 yang1 jun1 wei3 wei3 yuan2 fu4 quan2 you3 yu2 yong3 bo1 can1 jia1 le5 hui4 jian4 
 B2_307 he2 bei2 sheng3 zun1 hua4 shi4 ying2 yang3 yin2 pin3 shi2 ye4 gong1 si1 zui4 jin4 yan2 zhi4 sheng1 chan3 chu1 xin1 xing2 tian1 ran2 ying2 yang3 yin2 pin3 he2 tao5 ru3 cha2 
 B2_313 zhong1 hua2 ren2 min2 gong4 he2 guo2 zhong1 yang1 jun1 shi4 wei3 yuan2 hui4 zui4 jin4 fa1 bu4 ming4 ling4 shou4 yu3 wu2 meng4 chao1 mo2 fan4 yi1 xue2 zhuan1 jia1 rong2 yu4 cheng1 hao4 
 B2_319 you3 de5 cha2 yue4 zi1 liao4 you3 de5 mei3 feng2 you3 zhuan3 bo1 ai4 guo2 zhu3 yi4 ying3 shi4 pian4 jie2 mu4 shi2 zheng1 xiang1 guan1 kan4 wan2 quan2 da2 dao4 le5 yu4 qi1 mu4 di4 
 B2_320 zhong1 xue2 bi4 ye4 hou4 ta1 kao3 ru4 ni2 en1 luo2 de2 shang1 ye4 xue2 yuan4 bi4 ye4 hou4 ceng2 fu2 bing1 yi4 bing4 zai4 yi4 jia1 mao4 yi5 gong1 si1 ren4 zhi2 
 B2_332 xian4 bin4 yi2 guan3 shi2 xing2 zhou4 ye4 zhi2 ban1 bing4 bei4 you3 bin4 zang4 zhuan1 yong4 che1 she4 you3 song4 bin4 ren2 yuan2 xiu1 xi5 shi4 
 B2_335 yao4 shi1 fo2 you4 jiao4 da4 yi1 wang2 fo2 ta1 ceng2 fa1 xia4 shi2 er4 da4 yuan4 yao4 bang1 zhu4 zhong4 sheng1 jie3 chu2 tong4 ku3 yi1 zhi4 ji2 bing4 xiao1 zai1 yan2 shou4 man3 zu2 xin4 tu2 de5 yi2 qie4 yuan4 wang5 
 B2_337 zhe4 lei4 nv3 xing4 chuan1 zhe5 kao3 jiu1 bu4 xi3 xin1 chao2 dan4 jing1 ming2 you3 yan3 guang1 chang2 xiu1 shi4 de5 hen3 wan2 mei3 ju2 zhi3 bin1 bin1 you2 li3 
 B2_346 ju4 sang1 jie2 zha2 ba1 shu1 ji5 tou4 lu4 ming2 nian2 hai2 yao4 kai1 tong1 cheng2 kong4 zhi2 bo1 dian4 hua4 yan3 xia4 suo3 xu1 she4 bei5 yi3 yun4 dao4 le5 ba1 yi1 zhen4 
 B2_348 ran2 hou4 si1 ji1 kan4 zhe5 xin1 niang2 gei3 ta1 ca1 lian3 ta1 gan3 dao4 bu4 ke3 si1 yi4 de5 shi4 xin1 niang2 gei3 ta1 ca1 lian3 de5 dong4 zuo4 wei4 he2 ye3 ru2 ci3 wen1 rou2 
 B2_352 ta1 na4 liang3 zhi1 gun3 yuan2 de5 da4 yan3 jing5 zha3 le5 zha3 sui2 hou4 lie3 kai1 zui3 xiang4 wo3 fu4 qin5 you2 hao3 de5 xiao4 le5 
 B2_381 cheng1 le5 pi2 pa5 yan1 yong4 kuai4 bai2 chou2 pa4 zi5 bao1 le5 jin1 huang2 tuo3 yuan2 de5 pi2 pa5 yong4 yi2 ge4 zhi3 tou5 gou1 zhe5 yan3 zhu1 zi5 rou2 rou5 di4 wang4 ta1 
 B2_382 wei4 le5 rang4 nen4 zhu2 neng2 qi1 shuang1 ao4 xue3 zuan1 tian1 ting3 ba2 li3 ning2 ba3 xu1 huai2 gu3 ying4 de5 zhu2 de5 jing1 shen5 yun4 yong4 zai4 ta1 de5 gong1 zuo4 zhi1 zhong1 
 B2_404 ye4 ti3 ru3 ye3 kai1 fa1 le5 chao1 gao1 wen1 mie4 jun1 nai3 ying1 er2 pei4 fang1 nai3 wei2 sheng1 su4 qiang2 hua4 nai3 ke2 ke3 nai3 guo3 zhi1 nai3 deng3 
 B2_416 shu4 qiang2 an4 zhao4 fu4 qin5 suo3 shuo1 tong2 er4 lin2 he2 mou3 yu3 zhang1 shu4 shi4 yan1 cao3 gong1 si1 de5 liu2 mou3 zai4 kun1 ming2 mou3 fan4 dian4 qia4 tan2 yan1 jia4 
 B2_435 wo3 guo2 gu3 dai4 you3 ren2 ceng2 gen1 ju4 yu3 ju4 you2 fou3 ya1 yun4 ba3 wen2 xue2 zuo4 pin3 fen1 wei2 yun4 wen2 yu3 san3 wen2 liang3 ge5 da4 lei4 
 B2_436 tong2 shi2 wei2 rao4 zhua1 yuan2 tou2 zhua1 pin2 zhong3 zhua1 fu2 wu4 zhua1 zhong4 dian3 zhua1 xuan1 chuan2 ji1 ji2 kai1 zhan3 gong1 zuo4 qu3 de2 jiao4 hao3 xiao4 guo3 
 B2_437 mei2 you3 ren2 yuan2 mei2 you3 pai2 lian4 chang3 mei2 you3 zi1 jin1 yang2 hong2 nian2 jiu4 fa1 dong4 quan2 jia1 cheng2 yuan2 nuo2 chu1 le5 zi4 ji3 de5 fang2 jian1 hai2 he2 hai2 zi5 jia1 zhang3 men5 yi4 qi3 tao1 yao1 bao1 
 B2_461 feng1 ping2 lang4 jing4 de5 qi1 hei1 wu3 ye4 wang2 yun2 zhou1 wang2 xin1 huai2 wang2 yang2 zi5 shou3 xian1 fa1 xian4 guai4 wu5 shan3 zhe5 hong2 guang1 de5 yan3 jing5 
 B2_469 qiong2 long2 wai4 xing2 you3 si4 fang1 liu4 leng2 ba1 leng2 deng3 gao1 da2 liu4 qi1 ceng2 zhi4 shi2 san1 si4 ceng2 xia4 kuan1 shang4 zhai3 cheng2 jie1 ti1 zhuang4 
 B2_472 qi2 bi3 mo4 chuan2 shen2 qi4 yun4 yu3 mo4 yun4 he2 yi1 ji3 zhi4 xin1 miao4 tan4 yu2 fa3 mo4 qu3 jin4 yu2 xin1 de5 jing4 jie4 
 B2_477 dui4 lei2 qie4 te4 xian1 sheng5 de5 wai4 biao3 wo2 xi3 huan1 ye3 ba4 yan4 wu4 ye3 ba4 fan3 zheng4 dui4 nong4 qing1 chu3 shui2 shi4 xiong1 shou3 bu2 hui4 you2 suo3 bang1 zhu4 
 B2_488 wang2 cong1 er2 shuai4 jun1 pin1 ming4 di3 kang4 jian1 chi2 zhan4 dou4 le5 san1 ge5 yue4 zhong1 yin1 gua3 bu4 di2 zhong4 wang2 cong1 er2 tiao4 ya2 zhuang4 lie4 xi1 sheng1 
 B2_492 yi1 jiu2 jiu3 er4 nian2 si4 yue4 cun1 wei3 hui4 you4 gai2 xuan3 zhe4 ci4 cun1 wei3 hui4 gan1 cui4 yi3 huan4 le5 xin1 cun1 wei3 hui4 zhu3 ren4 wei2 you2 zhong1 zhi3 le5 yu3 ye4 mou3 de5 shui3 ku4 cheng2 bao1 he2 tong5 
 B31_260 hua2 bei3 bei3 bu4 han4 qing2 reng2 wei4 jie3 chu2 de5 di4 qu1 ning4 ken3 rang4 xia4 yu4 mi3 zhong3 zi5 xia4 di4 deng3 yu3 ye3 bu2 yao4 chi2 bo1 
 B31_279 jin4 ji3 nian2 bu2 dan4 wo3 yong4 shu1 gei2 nv3 er2 ya1 sui4 ye3 quan4 shuo1 qin1 peng2 bu2 yao4 gei2 nv3 er2 ya1 sui4 qian2 er2 gai3 song4 ya1 sui4 shu1 
 B31_291 bi3 ang2 di2 huo4 ya4 jun1 cheng2 ji4 wei2 er4 shi2 er4 miao3 yi1 liu4 jia3 ge2 er3 ming2 lie4 di4 san1 cheng2 ji4 shi4 er4 shi2 er4 miao3 er4 ba1 
 B31_297 ta1 dai4 biao3 e2 yu3 xue2 yuan4 xiang4 nai4 na4 fu1 ren5 zeng4 song4 le5 yi1 tao4 yu3 pu3 xi1 jin1 e2 yu3 xue2 yuan4 he2 bian1 de5 jiao4 cai2 dong1 fang1 e2 yu3 
 B31_320 zhong1 xue2 bi4 ye4 hou4 ta1 kao3 ru4 ni2 en1 luo2 de2 shang1 ye4 xue2 yuan4 bi4 ye4 hou4 ceng2 fu2 bing1 yi4 bing4 zai4 yi4 jia1 mao4 yi5 gong1 si1 ren4 zhi2 
 B31_343 chen2 zuo3 er3 dui4 yi3 gang3 ying1 ku4 wu4 si1 zeng1 yin1 quan2 shuai4 ling3 de5 ying1 fang1 zhuan1 jia1 zu3 zhong1 yu2 yuan4 yi4 jiu4 ci3 wen4 ti2 tong2 zhong1 fang1 cuo1 shang1 biao3 shi4 huan1 ying2 
 B31_377 yong4 ren2 dan1 wei4 yi1 ju4 qian2 kuan3 gui1 ding4 cai2 jian3 ren2 yuan2 zai4 liu4 ge5 yue4 nei4 lu4 yong4 ren2 yuan2 de5 ying1 dang1 you1 xian1 lu4 yong4 bei4 cai2 jian3 de5 ren2 yuan2 
 B31_384 shao3 bu4 fen5 zao3 shi4 miao2 mei3 zhu1 hai2 mai4 le5 wu3 liu4 fen1 qian2 da4 bu4 fen5 ai3 hua4 qiao2 hua4 miao2 mu4 zhi2 hao3 cheng2 kun3 cheng2 dui1 de5 shai4 gan1 dang1 chai2 shao1 
 B31_385 de5 qiao4 shi4 nei4 bu4 quan1 ceng2 de5 zui4 wai4 ceng2 you2 feng1 hua4 de5 tu3 ceng2 he2 jian1 ying4 de5 yan2 shi2 zu3 cheng2 suo2 yi3 di4 qiao4 ye3 ke3 cheng1 wei2 yan2 shi2 quan1 
 B31_388 su1 zhou1 ben3 di4 de5 miao4 guan4 jiu4 hen3 duo1 ding4 hui4 si4 xuan2 miao4 guan4 tao2 hua1 an1 hai2 you3 na4 ling4 li4 dai4 wen2 ren2 qian1 chang2 gua4 du4 de5 han2 shan1 si4 
 B31_389 yin1 wei4 dui4 guo2 you2 qi3 ye4 ru2 guo3 cong2 zong2 ti3 shang4 kan4 ying1 yu3 ken3 ding4 huo4 zhe3 qia4 qia5 xiang1 fan3 gai3 ge2 de5 si1 lu4 jiu4 hui4 jiong3 ran2 bu4 tong2 
 B31_403 wu1 zi1 bie2 ke4 si1 tan3 wai4 zhang3 ka2 mi3 luo4 fu1 ye3 dui4 ben3 she4 ji4 zhe3 biao3 shi4 wu1 zhong1 guan1 xi5 fa1 zhan3 shun4 li4 wu1 fang1 dui4 ci3 biao3 shi4 man3 yi4 
 B31_413 ling4 yi4 zhong3 ren4 wei2 dong4 zuo4 yue4 kuai4 yue4 hao3 xian1 zhua1 ka3 la1 ji4 qi2 yin1 wei4 zhua1 ta1 yao4 bi3 zhua1 mu3 la1 di2 qi2 rong2 yi5 xie1 
 B31_416 shu4 qiang2 an4 zhao4 fu4 qin5 suo3 shuo1 tong2 er4 lin2 he2 mou3 yu3 zhang1 shu4 shi4 yan1 cao3 gong1 si1 de5 liu2 mou3 zai4 kun1 ming2 mou3 fan4 dian4 qia4 tan2 yan1 jia4 
 B31_418 fang1 tun2 weng1 tao2 nan4 dao4 shang4 hai3 jing3 kuang4 bu4 bi3 cong2 qian2 duo1 shao3 ai4 xi1 xiao3 fei4 bu4 ken3 wei4 er4 sun1 zi5 yong4 ru2 mu3 
 B31_436 tong2 shi2 wei2 rao4 zhua1 yuan2 tou2 zhua1 pin2 zhong3 zhua1 fu2 wu4 zhua1 zhong4 dian3 zhua1 xuan1 chuan2 ji1 ji2 kai1 zhan3 gong1 zuo4 qu3 de2 jiao4 hao3 xiao4 guo3 
 B31_439 wang2 tie3 cheng2 dui4 jiao1 qi1 ti3 tie1 ru4 wei1 dui4 lao2 mu3 guan1 huai2 bei4 zhi4 yuan3 jin4 chi2 ming2 dui4 ai4 zi3 bai3 ban1 teng2 ai4 geng4 shi4 lu4 ren2 jie1 zhi1 
 B31_455 jian4 yuan2 zhi4 jin1 yi2 you3 lu4 da4 er3 yang2 kong3 que4 deng3 zai4 zhe4 li3 sheng1 er2 yu4 nv3 liang3 qian1 duo1 tou2 
 B31_460 cun1 li3 de5 lao3 nian2 ren2 duan1 ran2 su4 ran2 de5 jiu1 zheng4 zhe5 wai4 xiang1 ren2 de5 fa1 yin1 guo4 hou4 hai2 bian1 yao2 tou2 bian1 gan3 tan4 shuo1 wai4 xiang1 ren2 jiu4 shi5 ben4 
 B31_474 su4 yun2 shang1 xin1 de5 duo3 zai4 qiang2 ga1 la2 tang3 yan3 lei4 ku1 guo4 le5 reng2 zhuang1 zuo4 mei2 shi4 yi2 yang4 qu4 gei3 po2 po5 song4 chi1 de5 
 B31_476 bi3 ru2 zuo4 yi2 dao4 shu4 xue2 ying4 yong4 ti2 gei3 liang3 yuan2 qian2 zuo4 yi1 ci4 yu3 wen2 zuo4 ye4 gei3 wu3 yuan2 qian2 xie3 yi4 pian1 zuo4 wen2 gei3 shi2 yuan2 qian2 
 B31_481 tang2 xuan2 zong1 ceng2 feng1 wu3 yue4 wei2 wang2 song4 zhen1 zong1 feng1 wu3 yue4 wei2 di4 dao4 le5 ming2 tai4 zu3 ze2 feng1 wu3 yue4 wei2 shen2 le5 
 B32_275 zhi2 gong1 men5 ai4 chang3 ai4 gang3 ai4 chan2 pin3 xin1 wang3 yi2 chu4 xiang3 jin4 er5 wang3 yi2 chu4 shi3 
 B32_294 qi2 xing2 zhuang4 ru2 lang2 ya2 jiao1 cuo4 dang1 di4 bai3 xing4 jiao4 ta1 lang2 ya2 ba4 yin1 kong3 bu4 duo1 guai4 you4 cheng1 ta1 mo2 gui2 gu3 
 B32_296 zhe4 yang4 de5 qi3 ye4 suan4 bu5 suan4 neng2 shi4 ying4 shi4 chang3 jing1 ji4 suan4 bu5 suan4 you3 jing4 zheng1 li4 da2 an4 ying1 gai1 shi4 ken3 ding4 de5 
 B32_297 ta1 dai4 biao3 e2 yu3 xue2 yuan4 xiang4 nai4 na4 fu1 ren5 zeng4 song4 le5 yi1 tao4 yu3 pu3 xi1 jin1 e2 yu3 xue2 yuan4 he2 bian1 de5 jiao4 cai2 dong1 fang1 e2 yu3 
 B32_301 zhang4 peng5 an1 hao3 hou4 si4 zhou1 hai2 yao4 yong4 sheng2 zi5 shuan1 zhu4 yong4 xue3 ya1 shi2 ji4 fang2 feng1 chui1 you4 ke3 fang2 zhi3 xue3 jin4 ru4 zhang4 peng5 nei4 
 B32_302 zhong1 yang1 jun1 wei3 fu4 zhu3 xi2 zhang1 zhen4 chi2 hao4 tian2 guo2 wu4 wei3 yuan2 luo2 gan4 zhong1 yang1 jun1 wei3 wei3 yuan2 fu4 quan2 you3 yu2 yong3 bo1 can1 jia1 le5 hui4 jian4 
 B32_303 cao2 yu2 jue2 de5 zhe4 ge5 xi4 xie3 de5 hen3 bie2 zhi4 you2 ci3 kai1 shi3 xun2 zhao3 ao4 ni2 er3 de5 ju4 ben3 lai2 du2 dang1 ran2 shi4 ying1 wen2 yuan2 zhu4 
 B32_304 ta1 jing3 ti4 de5 xia4 le5 chuang2 gei3 liang3 ge5 sun1 zi5 ye4 hao3 bei4 zi5 you4 na2 guo4 yi1 ba3 da4 yi3 zi5 ba3 jie3 mei4 lia3 dang3 zhu4 gang1 zou3 dao4 ke4 ting1 jiu4 bei4 ren2 lan2 yao1 bao4 zhu4 le5 
 B32_321 ta1 jue2 de5 you3 xie1 bu2 dui4 shui2 ye3 mei2 you2 wo3 re4 ai4 mei3 guo2 a5 wei4 shen2 me5 bu2 rang4 wo3 qu4 mei3 guo2 shi4 wo3 de5 jing1 shen5 jia1 yuan2 wo3 bu4 neng2 bu4 qu4 xun2 zhao3 wo3 de5 jia1 yuan2 
 B32_323 ju4 gu1 ji4 mu4 qian2 zhu4 xiong1 su1 jun1 yue1 you3 liu4 wan4 yu2 ren2 shi4 gen1 ju4 yi1 jiu3 wu3 liu4 nian2 qian1 ding4 de5 su1 xiong1 tiao2 yue1 jin4 zhu4 xiong1 jing4 nei4 de5 
 B32_329 you2 yu2 er4 shi2 wu3 shi3 shi4 yong4 gu3 wen2 yan2 wen2 zhuan4 xie3 yu3 ci2 jian1 se4 qie3 juan4 zhi4 pang2 da4 yi4 ban1 du2 zhe3 nan2 yi3 yue4 du2 
 B32_335 yao4 shi1 fo2 you4 jiao4 da4 yi1 wang2 fo2 ta1 ceng2 fa1 xia4 shi2 er4 da4 yuan4 yao4 bang1 zhu4 zhong4 sheng1 jie3 chu2 tong4 ku3 yi1 zhi4 ji2 bing4 xiao1 zai1 yan2 shou4 man3 zu2 xin4 tu2 de5 yi2 qie4 yuan4 wang5 
 B32_342 xiong2 xia1 xing4 xian4 dang1 nian2 cheng2 shu2 ji2 yu3 ci2 xia1 jiao1 pei4 ci2 xia1 xing4 xian4 cheng2 shu2 jiao4 chi2 suo2 yi3 yao4 dao4 di4 er4 nian2 cai2 neng2 huai2 yun4 chan3 zi3 
 B32_356 zhong1 guo2 he2 wa2 nu3 a1 tu2 shuang1 fang1 jin1 tian1 zai4 zhe4 li3 jiu4 wa2 nu3 a1 tu2 zong2 li3 ka3 luo4 te4 fang3 hua2 fa1 biao3 le5 xin1 wen2 gong1 bao4 
 B32_364 zai4 wen2 zhong1 lao3 zu2 mu3 dui4 sun1 er2 de5 teng2 ai4 he2 pan4 sun1 cheng2 long2 de5 yin1 qie4 xin1 qing2 quan2 dou1 yue4 ran2 zhi3 shang4 
 B32_365 cong2 shi3 yong4 chang2 wen1 tui1 jin4 dao4 ye4 qing1 ye4 yang3 di1 wen1 gao1 neng2 tui1 jin4 ji4 bing4 jie3 jue2 le5 di1 wen1 ji4 shu4 de5 ying4 yong4 wen4 ti2 
 B32_369 he2 yun2 you4 heng1 heng5 ji1 ji1 le5 pian4 ke4 kan4 dao4 zhou1 zheng4 ju2 zhang3 dian2 dian3 wan4 shang4 de5 shou2 biao3 cai2 gan3 kuai4 zhuan3 ru4 zheng4 ti2 
 B32_412 yin1 wei4 biao3 xian4 xing4 hui4 hua4 wang2 wang3 yin1 xing2 xiang4 yin3 yu4 de5 si1 you3 er2 zu3 se4 wo3 men5 dui4 mou3 jian4 zuo4 pin3 de5 shen1 du4 ren4 shi5 
 B32_427 gei3 ke4 ren2 qi1 cha2 dao4 nai3 zhen1 jiu3 quan2 yong4 de5 shi4 yin2 wan3 he2 mu4 wan3 ke4 ren2 he1 wan2 di4 yi4 wan3 cha2 hou4 zhu3 ren2 kai1 shi3 gei3 ke4 ren2 jing4 jiu3 
 B32_429 he2 bei2 sheng3 she4 xian4 chi4 an4 cun1 ceng2 shi4 ba1 lu4 jun1 yi2 er4 jiu3 shi1 si1 ling4 bu4 tai4 hang2 jun1 qu1 si1 ling4 bu4 he2 tai4 hang2 qu1 dang2 wei3 de5 zhu4 di4 
 B32_491 yang2 dui4 zhang3 jia1 de5 er4 wa2 zi5 fa1 shao1 dao4 qu1 shang4 zhen2 suo3 kan4 le5 bing4 dai4 hui2 yi1 bao1 zhen1 yao4 yao4 yi4 qiong2 gei3 ta1 zhu4 she4 
 B33_250 xian2 yi2 fan4 yan3 kan4 tuo1 tao2 wu2 wang4 cuan4 shang4 wu1 ding3 zong4 shen1 tiao4 xia4 yi4 yu4 zi4 sha1 jie2 guo3 shuai1 cheng2 gu3 zhe2 bei4 sheng1 qin2 
 B33_253 wo3 men5 yin1 wei4 xin4 fo2 er2 nian4 fo2 yin1 wei4 nian4 fo2 er2 ding4 li4 de2 dao4 zhi4 hui4 yin1 ci3 wo3 men5 nian4 fo2 de5 xi2 guan4 shi4 hao3 xi2 guan4 
 B33_269 qing1 hua2 da4 xue2 zhi1 yuan2 peng2 huan2 wu3 jin1 jian4 zhong1 deng3 zhe4 jiang1 da4 xue2 zhi1 yuan2 wang2 gan4 chang1 xin1 xian2 jie2 deng3 lai2 suo3 can1 jia1 jian4 suo3 gong1 zuo4 
 B33_272 ta1 ceng1 ceng1 ceng1 pao3 shang4 lou2 you4 mei2 dai4 jia1 li5 yao4 shi5 you4 ti1 you4 chuai4 you4 zhuang4 men2 ye3 da3 bu4 kai1 
 B33_278 ci3 shi2 de5 liu2 yu4 an1 ben1 zou3 yu2 ge4 da4 yi1 yuan4 qiu2 yi1 wen4 yao4 ye3 gan3 dao4 yi2 ge4 ren2 li4 liang4 de5 wei1 ruo4 pan4 wang4 wai4 bu4 de5 bang1 zhu4 
 B33_298 yi4 tian1 ye4 li3 ping1 pang1 luan4 xiang3 hou4 wu1 yi4 jiao3 shui3 ru2 kuang2 pu4 wo3 jie1 lian2 cong2 chuang1 kou3 wang3 wai4 qing1 dao4 chu1 shi2 ji3 tong3 yu2 shui3 
 B33_352 ta1 na4 liang3 zhi1 gun3 yuan2 de5 da4 yan3 jing5 zha3 le5 zha3 sui2 hou4 lie3 kai1 zui3 xiang4 wo3 fu4 qin5 you2 hao3 de5 xiao4 le5 
 B33_355 shou4 xi1 hu2 wan1 yan2 qu1 zhe2 zhou1 yu3 san4 luo4 shan1 huan2 shui3 bao4 di1 bian1 yi1 zhu1 yang2 liu3 yi1 zhu1 tao2 hong2 lv4 jiao1 ying4 feng1 guang1 xiu4 li4 
 B33_363 ke3 shi4 qing1 chen2 mei3 dang1 mu4 song4 mai4 cai4 de5 nv3 er5 che3 zhe5 qing1 wu4 zou3 yuan3 shi2 ta1 you4 hui4 yi3 zhe5 cai4 an1 de5 men2 kuang4 tan4 xi1 
 B33_389 yin1 wei4 dui4 guo2 you2 qi3 ye4 ru2 guo3 cong2 zong2 ti3 shang4 kan4 ying1 yu3 ken3 ding4 huo4 zhe3 qia4 qia5 xiang1 fan3 gai3 ge2 de5 si1 lu4 jiu4 hui4 jiong3 ran2 bu4 tong2 
 B33_390 dan4 lie4 ning2 bing4 mei2 you3 yin1 ci3 er2 fou3 ding4 tuo1 er3 si1 tai4 fan3 er2 cheng1 zan4 ta1 de5 zuo4 pin3 shi4 e2 guo2 ge2 ming4 de5 yi2 mian4 jing4 zi5 
 B33_396 kuan1 kuo4 gui1 zheng3 de5 miao4 qian2 qu1 guang2 chang3 qing1 che4 ru2 jing4 de5 yin4 chi2 gu2 pu3 zhuang4 guan1 de5 xuan1 yuan2 qiao2 zai4 yi2 mian4 mian4 huang2 long2 qi2 ying4 chen4 xia4 xian3 de5 fen4 wai4 xiong2 wei3 zhuang1 yan2 
 B33_400 ke3 shi4 mei2 guo4 duo1 jiu3 zhong1 yu2 dang1 shang4 le5 ya2 lun2 zuan4 si1 zuan4 de5 zi4 hao2 xin1 qing2 jiu4 bei4 zhe4 xie1 yang2 she4 bei5 de5 huai4 pi2 qi5 suo3 po4 huai4 
 B33_406 wan4 xian4 shi4 de5 mao2 jin1 chuang2 dan1 chang3 la1 si1 zhi4 ding1 chang3 ri4 hua4 chang3 deng3 er4 shi2 si4 jia1 qi3 ye4 yi3 xian1 hou4 wan2 cheng2 le5 ban1 qian1 
 B33_409 jie2 guo3 dai4 fu5 zai4 wo3 liang2 yan3 yan3 pi2 xia4 chou1 diao4 yi2 kuai4 rou4 you2 qi2 shi4 nei4 yan2 jiao3 chou1 de5 geng4 kuan1 bi3 wei4 sheng1 kuai4 zi5 hai2 kuan1 
 B33_428 jie3 mei4 lia3 xing4 ge2 tian2 jing4 jie3 jie5 bi3 jiao4 nei4 xiang4 mei4 mei5 ze2 wai4 xiang4 yi4 dian3 er5 dan4 liang3 ren2 dou1 sheng1 xing4 ai4 shui3 yi2 jian4 shui3 jiu4 wan2 ming4 
 B33_441 lao3 ren2 shuo1 dao4 zhe4 li3 you3 xie1 geng3 ye4 yi4 zhi2 zai4 yi4 pang2 pei2 zhe5 de5 er2 xi2 yan4 yan4 qiao1 qiao1 xiang4 wo3 di4 yan3 se4 wo3 ma3 shang4 shou1 zhu4 wen4 hua4 
 B33_458 na4 shi2 wo3 yi3 jing1 shang4 xue2 bang4 wan3 fang4 xue2 hou4 ting1 shuo1 lin2 cun1 you3 xi4 cao2 cao3 ba1 ji3 kou3 fan4 xin1 bian4 bei4 lin2 cun1 de5 luo2 gu3 sheng1 yin3 le5 qu4 
 B33_470 tie3 lu4 yao4 cong2 zhe4 li3 pu1 tong1 ta1 bu4 zhun3 wa1 jue2 lao3 jiang1 jun1 song4 cheng2 fu2 dai4 tou2 yi1 xian1 shou3 xian1 wa1 kai1 le5 zi4 ji3 qin1 ren2 de5 mu4 xue2 
 B33_474 su4 yun2 shang1 xin1 de5 duo3 zai4 qiang2 ga1 la2 tang3 yan3 lei4 ku1 guo4 le5 reng2 zhuang1 zuo4 mei2 shi4 yi2 yang4 qu4 gei3 po2 po5 song4 chi1 de5 
 B34_251 qie3 fu1 nu2 nu2 a1 wen2 que4 shang4 wu2 tou1 wen2 ru2 ou1 yang2 gong1 zhi1 e4 de2 er2 wen2 zhang1 yi4 jiao4 wei2 neng2 zuo4 zuo5 zhe3 ye3 
 B34_254 xin1 pin4 guo2 wu4 yuan4 can1 shi4 wang2 yi4 ping2 xin1 pin4 zhong1 yang1 wen2 shi3 yan2 jiu1 guan3 guan3 yuan2 sun1 ji1 cheng2 yi4 zhong1 ye3 ying4 yao1 can1 jia1 le5 zhao1 dai4 hui4 
 B4_266 an4 jie2 yue1 dian4 li4 ji4 suan4 dao4 er4 ling2 ling2 ling2 nian2 ke3 jian2 shao3 er4 yang3 hua4 liu2 pai2 fang4 er4 shi2 wan4 dun1 er4 yang3 hua4 tan4 pai2 fang4 qi1 bai3 si4 shi2 wan4 dun1 
 B4_275 zhi2 gong1 men5 ai4 chang3 ai4 gang3 ai4 chan2 pin3 xin1 wang3 yi2 chu4 xiang3 jin4 er5 wang3 yi2 chu4 shi3 
 B4_319 you3 de5 cha2 yue4 zi1 liao4 you3 de5 mei3 feng2 you3 zhuan3 bo1 ai4 guo2 zhu3 yi4 ying3 shi4 pian4 jie2 mu4 shi2 zheng1 xiang1 guan1 kan4 wan2 quan2 da2 dao4 le5 yu4 qi1 mu4 di4 
 B4_320 zhong1 xue2 bi4 ye4 hou4 ta1 kao3 ru4 ni2 en1 luo2 de2 shang1 ye4 xue2 yuan4 bi4 ye4 hou4 ceng2 fu2 bing1 yi4 bing4 zai4 yi4 jia1 mao4 yi5 gong1 si1 ren4 zhi2 
 B4_352 ta1 na4 liang3 zhi1 gun3 yuan2 de5 da4 yan3 jing5 zha3 le5 zha3 sui2 hou4 lie3 kai1 zui3 xiang4 wo3 fu4 qin5 you2 hao3 de5 xiao4 le5 
 B4_354 song4 zou3 shang4 fang3 de5 qun2 zhong4 wu2 tian1 xiang2 dang4 tian1 bian4 mao4 yu3 lai2 dao4 ce4 suo3 zhou1 wei2 cha2 kan4 mu4 du3 po1 shang4 po1 xia4 zang1 xi1 xi1 de5 jing3 kuang4 
 B4_357 zhe4 ge5 da4 zhai4 you2 ping2 zhai4 dong1 yin3 yang2 pan2 nan2 gui4 si4 ge4 cun1 zu3 cheng2 gong4 yi4 qian1 er4 bai3 er4 shi2 qi1 hu4 jin4 liu4 qian1 ming2 miao2 zu2 tong2 bao1 
 B4_364 zai4 wen2 zhong1 lao3 zu2 mu3 dui4 sun1 er2 de5 teng2 ai4 he2 pan4 sun1 cheng2 long2 de5 yin1 qie4 xin1 qing2 quan2 dou1 yue4 ran2 zhi3 shang4 
 B4_398 shuo1 dao4 er4 mao2 qi3 ye4 ying1 gai1 xiang4 er4 mao2 na4 yang4 you3 zi1 jin1 you3 ji4 shu4 you3 yuan2 liao4 bao3 zheng4 you3 xiao1 shou4 qu2 dao4 you3 qi3 ye4 xing2 xiang4 
 B4_399 ta1 men5 an4 di4 qu1 ba3 can2 jian3 gong4 ying4 gei3 sao1 si1 chang3 sao1 si1 chang3 dui4 jie1 zhi1 chou2 chang3 zhi1 chou2 chang3 dui4 kou3 yin4 ran2 chang3 
 B4_417 di4 fang1 ying1 yu3 bu4 dui4 lian2 he2 ju3 ban4 yi4 xie1 zhuan1 ye4 wen2 yi4 ren2 cai2 de5 pei2 xun4 yi3 pei2 yang3 geng4 duo1 de5 wen2 yi4 ren2 cai2 
 B4_418 fang1 tun2 weng1 tao2 nan4 dao4 shang4 hai3 jing3 kuang4 bu4 bi3 cong2 qian2 duo1 shao3 ai4 xi1 xiao3 fei4 bu4 ken3 wei4 er4 sun1 zi5 yong4 ru2 mu3 
 B4_423 ke3 bie2 xiao3 kan4 zhe4 xie1 bai2 san3 san3 zai4 guo2 ji4 shi4 chang3 yi1 gong1 jin1 neng2 mai4 liang3 qian1 duo1 mei3 yuan2 gai1 chang3 yi4 nian2 neng2 sheng1 chan3 wu3 dun1 xiang1 dang1 yu2 shi2 ji3 dun1 huang2 jin1 
 B4_431 shuo1 wan2 wo3 gan2 jin3 zou3 chu1 men2 qu4 you3 qing4 cai2 bei4 mai2 dao4 tu3 li3 shi1 gu3 wei4 han2 a5 zai4 he2 jia1 zhen1 shuo1 xia4 qu5 wo3 jiu4 wen3 bu2 zhu4 zi4 ji3 le5 
 B4_434 cong2 ning2 bo1 mai3 lai2 de5 bi3 sai4 yong4 qiu2 jing4 you3 duo1 ban4 shi4 xun4 lian4 yong4 qiu2 tan2 xing4 he2 nai4 jiu3 xing4 dou1 nan2 yi3 da2 dao4 bi3 sai4 yao1 qiu2 
 B4_460 cun1 li3 de5 lao3 nian2 ren2 duan1 ran2 su4 ran2 de5 jiu1 zheng4 zhe5 wai4 xiang1 ren2 de5 fa1 yin1 guo4 hou4 hai2 bian1 yao2 tou2 bian1 gan3 tan4 shuo1 wai4 xiang1 ren2 jiu4 shi5 ben4 
 B4_464 yin1 ci3 seng1 ren2 bu2 zai4 yu2 duo1 er2 zai4 yu2 jing1 zai4 yu2 neng2 zhen1 zheng4 yan2 xi2 jiao4 yi4 xiu1 chi2 fo2 fa3 chuan2 cheng2 fo2 fa3 
 B4_475 ge4 mian2 fang3 qi3 ye4 bu4 de2 jiang1 sheng1 chan3 yong4 mian2 yong4 yi3 zhuan3 mai4 yi4 jing1 cha2 chu1 ji2 kou4 jian3 yong4 mian2 qi3 ye4 de5 yong4 mian2 liang4 
 B4_491 yang2 dui4 zhang3 jia1 de5 er4 wa2 zi5 fa1 shao1 dao4 qu1 shang4 zhen2 suo3 kan4 le5 bing4 dai4 hui2 yi1 bao1 zhen1 yao4 yao4 yi4 qiong2 gei3 ta1 zhu4 she4 
 B6_251 qie3 fu1 nu2 nu2 a1 wen2 que4 shang4 wu2 tou1 wen2 ru2 ou1 yang2 gong1 zhi1 e4 de2 er2 wen2 zhang1 yi4 jiao4 wei2 neng2 zuo4 zuo5 zhe3 ye3 
 B6_310 qu4 nian2 qiu1 tian1 hua2 long2 ji2 tuan2 gong1 si1 yu3 nan2 ao4 xian4 ren2 min2 zheng4 fu3 zheng4 shi4 qian1 yue1 lian2 he2 kai1 fa1 yan1 dun1 wan1 wan4 dun1 ji2 shen1 shui2 gang3 
 B6_319 you3 de5 cha2 yue4 zi1 liao4 you3 de5 mei3 feng2 you3 zhuan3 bo1 ai4 guo2 zhu3 yi4 ying3 shi4 pian4 jie2 mu4 shi2 zheng1 xiang1 guan1 kan4 wan2 quan2 da2 dao4 le5 yu4 qi1 mu4 di4 
 B6_323 ju4 gu1 ji4 mu4 qian2 zhu4 xiong1 su1 jun1 yue1 you3 liu4 wan4 yu2 ren2 shi4 gen1 ju4 yi1 jiu3 wu3 liu4 nian2 qian1 ding4 de5 su1 xiong1 tiao2 yue1 jin4 zhu4 xiong1 jing4 nei4 de5 
 B6_328 qiang2 gen1 qiang2 jiao3 ze2 wang2 wang3 guang1 liu1 liu1 de5 liang4 shi4 hai2 zi5 men5 kao4 zai4 qiang2 shang5 wan2 shua3 shi2 mo2 cheng2 de5 
 B6_335 yao4 shi1 fo2 you4 jiao4 da4 yi1 wang2 fo2 ta1 ceng2 fa1 xia4 shi2 er4 da4 yuan4 yao4 bang1 zhu4 zhong4 sheng1 jie3 chu2 tong4 ku3 yi1 zhi4 ji2 bing4 xiao1 zai1 yan2 shou4 man3 zu2 xin4 tu2 de5 yi2 qie4 yuan4 wang5 
 B6_356 zhong1 guo2 he2 wa2 nu3 a1 tu2 shuang1 fang1 jin1 tian1 zai4 zhe4 li3 jiu4 wa2 nu3 a1 tu2 zong2 li3 ka3 luo4 te4 fang3 hua2 fa1 biao3 le5 xin1 wen2 gong1 bao4 
 B6_398 shuo1 dao4 er4 mao2 qi3 ye4 ying1 gai1 xiang4 er4 mao2 na4 yang4 you3 zi1 jin1 you3 ji4 shu4 you3 yuan2 liao4 bao3 zheng4 you3 xiao1 shou4 qu2 dao4 you3 qi3 ye4 xing2 xiang4 
 B6_420 hu2 wen2 duo2 jiao4 shou4 ren4 wei2 mu4 qian2 you3 xie1 huan4 zhe3 yong4 yao4 cun2 zai4 wu4 qu1 ren4 wei2 jin4 kou3 yao4 cai2 neng2 zhi4 bing4 jia4 qian2 yue4 gui4 de5 yao4 xiao4 yue4 gao1 
 B6_423 ke3 bie2 xiao3 kan4 zhe4 xie1 bai2 san3 san3 zai4 guo2 ji4 shi4 chang3 yi1 gong1 jin1 neng2 mai4 liang3 qian1 duo1 mei3 yuan2 gai1 chang3 yi4 nian2 neng2 sheng1 chan3 wu3 dun1 xiang1 dang1 yu2 shi2 ji3 dun1 huang2 jin1 
 B6_449 nan2 guai4 mei3 guo2 zhu4 ming2 zuo4 jia1 suo1 luo2 yao4 ba3 wa3 er3 teng2 hu2 pan4 de5 xin1 xian1 kong1 qi4 zhuang1 jin4 ping2 zi5 mai4 gei3 na4 xie1 shui4 zao3 jiao4 de5 ren2 le5 
 B6_455 jian4 yuan2 zhi4 jin1 yi2 you3 lu4 da4 er3 yang2 kong3 que4 deng3 zai4 zhe4 li3 sheng1 er2 yu4 nv3 liang3 qian1 duo1 tou2 
 B6_462 dao3 shang5 chu2 le5 tu1 wu4 de5 lin2 xun2 jiao1 shi2 he2 wan1 yan2 tong1 you1 de5 xiao3 lu4 yi3 wai4 quan2 ran2 shi4 yi2 ge4 cao3 mu4 wei1 rui2 de5 lv4 se4 wang2 guo2 
 B6_468 zao3 bei4 guo2 wai4 nong2 hu4 guang3 fan4 cai3 yong4 de5 wei1 sheng1 wu4 jun1 yang3 qin2 chu4 ji4 shu4 yi3 luo4 hu4 zhong1 guo2 
 B6_471 ji3 ge4 yue4 lai2 ha1 li4 fa3 ai1 mi2 er3 yi4 zhi2 wei4 qian2 wang3 ai1 mi2 er3 gong1 zhi4 li3 chao2 zheng4 wang2 gong1 shi4 wu4 shi2 ji4 shang5 yi3 you2 ha1 ma3 de2 zhu3 chi2 
 B6_476 bi3 ru2 zuo4 yi2 dao4 shu4 xue2 ying4 yong4 ti2 gei3 liang3 yuan2 qian2 zuo4 yi1 ci4 yu3 wen2 zuo4 ye4 gei3 wu3 yuan2 qian2 xie3 yi4 pian1 zuo4 wen2 gei3 shi2 yuan2 qian2 
 B6_482 tai4 yuan2 shi4 yang2 quan2 shi4 shuai4 xian1 ban4 qi3 le5 long2 ya3 er2 you4 er2 yuan2 he2 long2 er2 ting1 li4 yu3 xun4 zhong1 xin1 
 B6_493 ting1 de5 chuang1 kou3 bei4 yong4 hei1 bu4 zhe1 de5 yan2 yan2 shi5 shi5 ting1 nei4 hun1 an4 meng2 long2 wei2 you3 ji3 chuan4 hong2 lv4 deng1 pin2 pin5 shan3 shuo4 
 B7_251 qie3 fu1 nu2 nu2 a1 wen2 que4 shang4 wu2 tou1 wen2 ru2 ou1 yang2 gong1 zhi1 e4 de2 er2 wen2 zhang1 yi4 jiao4 wei2 neng2 zuo4 zuo5 zhe3 ye3 
 B7_261 da4 yuan4 li3 ye3 shi4 liang3 pai4 zai4 ma4 ye4 wan3 ye3 zai4 dou4 zou3 zi1 pai4 yi4 tian1 dao4 wan3 xin1 jing1 rou4 tiao4 sui2 shi2 zhun3 bei4 zhe5 ai2 dou4 
 B7_278 ci3 shi2 de5 liu2 yu4 an1 ben1 zou3 yu2 ge4 da4 yi1 yuan4 qiu2 yi1 wen4 yao4 ye3 gan3 dao4 yi2 ge4 ren2 li4 liang4 de5 wei1 ruo4 pan4 wang4 wai4 bu4 de5 bang1 zhu4 
 B7_279 jin4 ji3 nian2 bu2 dan4 wo3 yong4 shu1 gei2 nv3 er2 ya1 sui4 ye3 quan4 shuo1 qin1 peng2 bu2 yao4 gei2 nv3 er2 ya1 sui4 qian2 er2 gai3 song4 ya1 sui4 shu1 
 B7_289 ta1 men5 bai2 tian1 sui2 zhe5 gun2 gun3 che1 liu2 ben1 bo1 yu2 tai4 hang2 nan2 bei3 wan3 shang5 da3 kai1 pu1 gai4 yang3 wang4 tian1 kong1 tan2 li2 xiang3 tan2 ren2 sheng1 
 B7_313 zhong1 hua2 ren2 min2 gong4 he2 guo2 zhong1 yang1 jun1 shi4 wei3 yuan2 hui4 zui4 jin4 fa1 bu4 ming4 ling4 shou4 yu3 wu2 meng4 chao1 mo2 fan4 yi1 xue2 zhuan1 jia1 rong2 yu4 cheng1 hao4 
 B7_315 di4 chu3 pin2 kun4 shan1 qu1 de5 zhe4 jiang1 jiang1 shan1 shi4 da4 luan2 kou3 xiang1 ye4 jia1 yang2 cun1 li4 yong4 dang1 di4 mao2 zhu2 zi1 yuan2 chuang4 ban4 ye4 jia1 yang2 zhu2 qi4 chang3 
 B7_351 ta1 men5 yong4 zhuan1 tou2 mu4 gun4 jiu3 ping2 deng3 xi2 ji1 quan2 fu4 wu3 zhuang1 de5 fang2 bao4 jing3 cha2 jing3 fang1 ze2 dong4 yong4 ma3 dui4 he2 gun4 bang4 yu2 yi3 huan2 ji1 
 B7_358 jie4 shao4 xin4 yu3 wei3 tuo1 xie2 yi4 cong2 sheng1 huo2 xi3 di2 ji4 dao4 xiong2 mao1 nai2 fen3 mai2 xia4 song4 an4 ding4 shi2 zha4 dan4 
 B7_368 zai4 ji4 shu4 gai3 zao4 zhong1 ta1 men5 miao2 zhun3 jie2 neng2 ying2 guang1 deng1 shi4 chang3 cong2 tai2 wan1 yin3 jin4 yi1 tiao2 huan2 xing2 ying2 guang1 deng1 sheng1 chan3 xian4 yi1 tiao2 jie2 neng2 ying2 guang1 deng1 sheng1 chan3 xian4 
 B7_369 he2 yun2 you4 heng1 heng5 ji1 ji1 le5 pian4 ke4 kan4 dao4 zhou1 zheng4 ju2 zhang3 dian2 dian3 wan4 shang4 de5 shou2 biao3 cai2 gan3 kuai4 zhuan3 ru4 zheng4 ti2 
 B7_384 shao3 bu4 fen5 zao3 shi4 miao2 mei3 zhu1 hai2 mai4 le5 wu3 liu4 fen1 qian2 da4 bu4 fen5 ai3 hua4 qiao2 hua4 miao2 mu4 zhi2 hao3 cheng2 kun3 cheng2 dui1 de5 shai4 gan1 dang1 chai2 shao1 
 B7_389 yin1 wei4 dui4 guo2 you2 qi3 ye4 ru2 guo3 cong2 zong2 ti3 shang4 kan4 ying1 yu3 ken3 ding4 huo4 zhe3 qia4 qia5 xiang1 fan3 gai3 ge2 de5 si1 lu4 jiu4 hui4 jiong3 ran2 bu4 tong2 
 B7_395 zheng4 zao1 ri4 wei3 sao3 dang4 de5 guo2 min2 dang3 wan2 jun1 han2 de2 qin2 pai4 ren2 yu3 wo3 lian2 xi4 yao1 qiu2 shuai4 qi2 bu4 dui4 zhuan3 yi2 dao4 wo3 huai2 an1 gen1 ju4 di4
 B7_420 hu2 wen2 duo2 jiao4 shou4 ren4 wei2 mu4 qian2 you3 xie1 huan4 zhe3 yong4 yao4 cun2 zai4 wu4 qu1 ren4 wei2 jin4 kou3 yao4 cai2 neng2 zhi4 bing4 jia4 qian2 yue4 gui4 de5 yao4 xiao4 yue4 gao1 
 B7_421 ju4 rui4 dian3 tong1 xun4 she4 bao4 dao4 yi4 sou1 e2 luo2 si1 yu2 chuan2 er4 shi5 liu4 ri4 chen2 zai4 nuo2 wei1 bei3 bu4 yan2 hai3 chen2 mo4 gu1 ji4 you3 shi2 ren2 sang4 sheng1 
 B7_437 mei2 you3 ren2 yuan2 mei2 you3 pai2 lian4 chang3 mei2 you3 zi1 jin1 yang2 hong2 nian2 jiu4 fa1 dong4 quan2 jia1 cheng2 yuan2 nuo2 chu1 le5 zi4 ji3 de5 fang2 jian1 hai2 he2 hai2 zi5 jia1 zhang3 men5 yi4 qi3 tao1 yao1 bao1 
 B7_440 min2 yong4 hang2 kong1 qi4 di3 ya1 quan2 shi4 yong4 min2 yong4 hang2 kong1 qi4 guo2 ji2 deng1 ji4 guo2 fa3 lv4 
 B7_441 lao3 ren2 shuo1 dao4 zhe4 li3 you3 xie1 geng3 ye4 yi4 zhi2 zai4 yi4 pang2 pei2 zhe5 de5 er2 xi2 yan4 yan4 qiao1 qiao1 xiang4 wo3 di4 yan3 se4 wo3 ma3 shang4 shou1 zhu4 wen4 hua4 
 B7_451 hou2 zong1 bin1 wang2 wei2 cheng2 liu2 yun2 shan1 wang2 xu4 dong1 wang2 gang1 gong1 yu4 zhi1 liu2 sheng4 yu4 liu2 hai3 fan1 yang2 chun1 gui4 deng3 chu1 xi2 dian2 li3 
 B7_456 liu4 shi2 nian2 dai4 wo3 guo2 ju1 min2 sheng1 huo2 shi4 liang2 shi5 yin3 lu4 gua1 cai4 dang1 jia1 chi1 shang4 chun2 yu4 mi3 mian4 wo1 wo5 tou2 jiu4 suan4 ding3 gua1 gua1 
 B7_463 tan4 suo3 wei2 rao4 jing1 ji4 jian4 she4 zhua1 dang3 jian4 de5 you3 xiao4 tu2 jing4 luo2 tian2 nong2 cun1 dang3 zhi1 bu4 kai1 zhan3 chuang4 jian4 xiao3 kang1 cun1 jing4 sai4 
 B7_467 bei3 jing1 fu4 wai4 yi1 yuan4 xin1 wai4 ke1 zhuan1 jia1 han2 xu4 de5 jie3 shi5 biao3 ming2 huan4 er2 mu3 qin1 ti3 zhi4 ji2 cha4 zhi2 jie1 ying2 xiang3 le5 hou4 dai4 de5 jian4 kang1 
 B7_468 zao3 bei4 guo2 wai4 nong2 hu4 guang3 fan4 cai3 yong4 de5 wei1 sheng1 wu4 jun1 yang3 qin2 chu4 ji4 shu4 yi3 luo4 hu4 zhong1 guo2 
 B8_256 zhou1 xin4 fang1 chang2 qi1 zai4 shang4 hai3 yan3 chu1 yu3 wang2 hong2 shou4 wang1 xiao4 nong2 pan1 yue4 qiao2 deng3 xie2 zuo4 bian1 yan3 le5 xu3 duo1 ju4 mu4 
 B8_272 ta1 ceng1 ceng1 ceng1 pao3 shang4 lou2 you4 mei2 dai4 jia1 li5 yao4 shi5 you4 ti1 you4 chuai4 you4 zhuang4 men2 ye3 da3 bu4 kai1 
 B8_285 ji2 lin2 you2 tian2 xin1 li4 cai3 you2 chang3 zhi2 gong1 yu2 guo2 chen2 fu1 fu4 kan1 hu4 zui4 bian1 yuan3 de5 yi4 bai3 ling2 ba1 cai3 you2 dan1 jing3 yi3 zheng2 zheng3 shi2 nian2 
 B8_287 da4 hui4 zhi3 re4 nao5 tou2 liang3 tian1 yue4 hou4 yue4 song1 kua3 zui4 zhong1 chu1 ben3 lun4 wen2 ji2 jiu4 suan4 yuan2 man3 wan2 cheng2 ren4 wu5 
 B8_295 a1 po1 rui4 te4 kan4 zhe5 hei1 an4 jiang4 lin2 le5 zhe4 sou1 chuan2 ting1 jian4 na4 yao2 yuan3 er2 rou2 he2 de5 yuan2 zi3 fa1 dong4 ji1 de5 gu1 lu5 sheng1 tu1 ran2 ting2 zhi3 
 B8_307 he2 bei2 sheng3 zun1 hua4 shi4 ying2 yang3 yin2 pin3 shi2 ye4 gong1 si1 zui4 jin4 yan2 zhi4 sheng1 chan3 chu1 xin1 xing2 tian1 ran2 ying2 yang3 yin2 pin3 he2 tao5 ru3 cha2 
 B8_330 bu4 wo3 men5 ye3 shi4 zhou1 mo4 lai2 zhe4 li3 wan2 wan5 dan4 lao3 shi1 yao4 wo3 men5 ge2 wai4 zhu4 yi4 zhua1 bao4 yu2 de5 you2 ren2 
 B8_359 ma1 ma1 de5 lian3 se4 yi3 jing1 bian4 de5 xiang4 huang2 tu3 de5 yan2 se4 yi2 yang4 huang2 liang2 yan3 wu2 guang1 dai1 dai1 de5 kan4 zhe5 wu1 ding3 yi2 dong4 ye3 bu2 dong4 
 B8_375 cang1 wai4 liang3 an4 yi4 pai2 pai2 yi2 zhuang4 zhuang4 gu3 jian4 zhu4 lian2 mian2 bu2 duan4 di4 ying2 mian4 pu1 lai2 you4 xun4 su4 yin3 mo4 zai4 wo3 men5 hou4 mian5 
 B8_384 shao3 bu4 fen5 zao3 shi4 miao2 mei3 zhu1 hai2 mai4 le5 wu3 liu4 fen1 qian2 da4 bu4 fen5 ai3 hua4 qiao2 hua4 miao2 mu4 zhi2 hao3 cheng2 kun3 cheng2 dui1 de5 shai4 gan1 dang1 chai2 shao1 
 B8_408 shan1 lu4 dou3 qiao4 po1 du4 you4 da4 cun1 min2 gei3 che1 da3 yan3 bu2 dang4 che1 ting2 xia4 bu4 jiu3 tu1 ran2 kai1 shi3 shun4 po1 xia4 hua2 
 B8_415 gai1 pian4 dao2 yan3 wei2 yu2 shi2 shu4 yang2 jun1 zhu3 yao4 yan3 yuan2 you3 han2 fu1 yi1 li3 jin4 mu4 ai4 qiu1 zhou1 gui4 yun2 jin1 xin1 feng2 yun2 kui2 deng3 
 B8_419 hu2 lao3 han4 ai4 shu1 ru2 ming4 nong2 xian2 shi2 zong3 ai4 zou3 cun1 chuan4 hu4 shui2 jia1 you3 shu1 bao4 ta1 jiu4 bao3 bei4 yi2 yang4 shou1 ji2 qi3 lai5 
 B8_423 ke3 bie2 xiao3 kan4 zhe4 xie1 bai2 san3 san3 zai4 guo2 ji4 shi4 chang3 yi1 gong1 jin1 neng2 mai4 liang3 qian1 duo1 mei3 yuan2 gai1 chang3 yi4 nian2 neng2 sheng1 chan3 wu3 dun1 xiang1 dang1 yu2 shi2 ji3 dun1 huang2 jin1 
 B8_455 jian4 yuan2 zhi4 jin1 yi2 you3 lu4 da4 er3 yang2 kong3 que4 deng3 zai4 zhe4 li3 sheng1 er2 yu4 nv3 liang3 qian1 duo1 tou2 
 B8_467 bei3 jing1 fu4 wai4 yi1 yuan4 xin1 wai4 ke1 zhuan1 jia1 han2 xu4 de5 jie3 shi5 biao3 ming2 huan4 er2 mu3 qin1 ti3 zhi4 ji2 cha4 zhi2 jie1 ying2 xiang3 le5 hou4 dai4 de5 jian4 kang1 
 B8_472 qi2 bi3 mo4 chuan2 shen2 qi4 yun4 yu3 mo4 yun4 he2 yi1 ji3 zhi4 xin1 miao4 tan4 yu2 fa3 mo4 qu3 jin4 yu2 xin1 de5 jing4 jie4 
 B8_478 xiao3 ao4 si1 ka3 fa1 xian4 zhou1 wei2 de5 shi4 jie4 tai4 guo4 huang1 dan4 jiu4 an4 xia4 jue2 xin1 yao4 yong2 yuan3 zuo4 xiao3 hai2 zi5 
 B8_480 di2 que4 cong2 gu3 dao4 jin1 yin1 shuo1 jia3 hua4 shou4 chong3 sheng1 guan1 shuo1 zhen1 hua4 fan3 zao1 ya1 yi4 shen4 zhi4 diu1 guan1 diao4 nao3 dai5 de5 shi4 bu2 sheng4 mei2 ju3 
 B8_483 ta1 men5 zhua1 lai2 le5 hui2 jia1 wei4 fu4 qin5 song4 sang4 de5 nian2 qing1 yi1 sheng1 su1 yuan2 he2 qi1 zi5 mou2 qing1 bi1 po4 wei4 ta1 men5 zhi4 bing4 
 B8_498 zhong1 wen2 wen2 ben3 wai4 wen2 wen2 ben3 fa1 sheng1 qi2 yi4 shi2 yi3 zhong1 wen2 wen2 ben3 wei2 zhun3 
 C12_511 jiang1 xi1 hu2 kou3 xian4 shuang1 zhong1 shui2 chan3 chang3 yu2 min2 zhang1 hou4 yu2 ri4 qian2 jiang1 yi1 tiao2 bu3 huo4 ru4 wang3 de5 xing2 si4 bian1 yu2 de5 yan1 zhi5 yu2 fang4 hui2 jiang1 zhong1 
 C12_518 gan1 shu3 tian1 e2 zai4 wo2 sheng3 di4 gua1 zhong4 zhi2 qu1 dou1 you2 suo3 fa1 sheng1 yi4 ban1 yi4 nian2 fa1 sheng1 liang3 dai4 yi3 yong3 zai4 tu3 zhong1 yue4 dong1 
 C12_526 yan2 wang5 bao2 zhang3 yong4 wen2 ming2 gun4 zhe4 li3 cha1 yi2 xia4 na4 li3 tong3 yi2 xia4 yi4 xie1 po4 bu4 lan4 pian4 gei3 ta1 de5 wen2 ming2 gun4 fan1 de5 luan4 qi1 ba1 zao1 
 C12_544 hui2 dao4 jia1 huang2 niang2 niang5 de5 nai3 wa2 er5 zheng4 ku1 de5 si1 sheng1 ya3 qi4 da4 yi4 dian3 de5 yi2 ge4 wa2 er5 zai4 tang2 wu1 di4 shang4 pa2 
 C12_549 ta1 sui1 ran2 zi4 ji3 bing4 bu4 kan4 jian4 zhuang1 le5 zen3 yang4 de5 lian3 dan4 ci3 shi2 que4 jue2 de5 hen3 ju2 cu4 zui3 chun2 wei1 wei1 yi2 dong4 you4 yao2 yi5 yao2 tou2 
 C12_595 dian4 lu2 lian4 gang1 jia4 ge2 cheng2 ben3 di1 yu2 zhuan4 lu2 lian4 gang1 er2 qie3 he2 li3 jing1 ji4 gui1 mo2 xiao3 dun1 gang1 tou2 zi1 jiao4 di1 shi4 dang1 jin1 shi4 jie4 gang1 tie3 gong1 ye4 fa1 zhan3 chao2 liu2 
 C12_603 jin1 wan3 zai4 shun4 de2 ti3 yu4 zhong1 xin1 guo2 jia1 zu2 qiu2 ji2 xun4 dui4 tiao3 deng1 ye4 zhan4 guang3 zhou1 dui4 shuang1 fang1 yi3 er4 bi3 er4 wo4 shou3 yan2 he2 
 C12_615 chen2 du2 xiu4 gan3 shuo1 gan3 zuo4 ta1 ling2 dao3 le5 wu3 si4 yun4 dong4 er2 qun2 zhong4 yun4 dong4 ye3 tui1 dong4 zhe5 ta1 fen4 yong3 qian2 jin4 
 C12_616 wo3 de5 jian1 bang3 hun2 yuan2 xiong1 qian2 fei2 du1 du1 de5 shen1 cai2 you4 bian4 de5 na4 me5 ai2 xiao3 you2 qi2 shi4 jiao3 xia4 hao3 xiang4 cai3 zhe5 gao1 qiao1 jian3 zhi2 yao4 ba3 jiao3 jin1 beng1 duan4 
 C12_628 zhe4 yang4 de5 xiu1 yang3 de5 yan3 yuan2 ji2 shi3 zheng4 zou3 hong2 ye3 bu2 guo4 ru2 guo4 yan3 yun2 yan1 er2 yi3 cheng2 bu5 liao3 zhen1 zheng4 yi4 yi4 shang4 de5 yi4 shu4 jia1 
 C12_637 kang1 shi4 tan3 ding1 cheng2 zhe4 dang1 er2 xiang3 shou4 le5 yi4 fan1 yan4 fu2 er2 gong1 zhu3 ne5 wei4 zi4 ji3 de5 hong2 yan2 bo2 ming4 er2 ai1 ku1 
 C12_670 bi3 sai4 cai3 yong4 shuang1 xun2 huan2 liang3 ju2 ji4 fen1 zhi4 zai4 shi2 lun2 gong4 ji4 er4 shi2 chang3 jiao4 liang5 zhong1 ding4 chu1 sheng4 fu4 de5 zhi2 you3 ba1 chang3 er2 shuang1 fang1 wo4 shou3 yan2 he2 de5 you3 shi2 er4 chang3 
 C12_680 liao2 ning2 jiao4 lian4 guo1 jin1 feng4 dui4 ci3 jie3 shi5 shuo1 wang2 yuan4 zheng4 huan4 gan3 mao4 er2 qu3 yun2 xia2 ze2 you2 yu2 jie2 shi2 bing4 yin1 yi4 zhi2 mei2 lian4 chu1 lai2 
 C12_697 lin2 ye4 bu4 men2 zai4 ying2 lin2 zao4 lin2 gong1 zuo4 zhong1 bu2 wang4 shui2 bao3 yan2 jin4 quan2 ken3 lian4 shan1 yao1 qiu2 gai3 quan2 ken3 wei2 tiao2 ken3 zheng3 di4 
 C13_500 ju4 xi1 mei3 guo2 can1 yi4 yuan4 yi3 cao2 ni3 yi1 fen4 zhi1 chi2 ke4 lin2 dun4 xiang4 bo1 hei1 pai4 bing1 de5 jue2 yi4 an4 zhun3 bei4 zai4 ben3 yue4 shang4 xun2 jin4 xing2 biao3 jue2 
 C13_505 xiu1 de2 an1 min2 yun2 yun2 shuo1 de5 guo4 yu2 tang2 huang2 er2 dao3 kong1 shi2 ji4 shang5 ta1 you3 ying4 de5 yi4 shou3 he2 ruan3 de5 yi4 shou3 
 C13_519 ying1 guo2 ke1 xue2 jia1 zui4 jin4 fa1 xian4 huan4 feng1 niu2 bing4 de5 niu2 de5 hou4 dai4 ye3 hen3 ke3 neng2 huan4 feng1 niu2 bing4 ying1 guo2 huan4 feng1 niu2 bing4 de5 niu2 bi3 yuan2 xian1 ren4 wei2 de5 yao4 duo1 
 C13_521 ta1 men5 you4 pai4 yi1 dui4 ren2 deng1 shang4 an4 qu4 wan1 zhe5 gong1 nu3 jian4 tou2 chao2 zhun3 xiao3 chuan2 bu2 rang4 chuan2 li3 de5 ren2 neng2 you3 yi2 ge4 tao2 shang4 an4 qu4 
 C13_539 feng2 nian2 guo4 jie2 cun1 li3 zu3 zhi1 ge4 zhong3 xing2 shi4 de5 ge1 wu3 hui4 ti3 yu4 bi3 sai4 qing3 ju4 tuan2 fang4 ying4 dui4 lai2 cun1 li3 yan3 chu1 
 C13_560 ke3 shi4 tu4 chang3 de5 nong2 min2 si4 yang3 yuan2 gei3 tu4 zi5 wei4 shi2 wei4 yao4 dou1 bei4 tu4 zi5 shun4 shun5 dang1 dang1 jie1 shou4 le5 
 C13_573 zhi4 yu2 ye4 yi3 jie2 hun1 cheng2 jia1 de5 ren2 yuan2 ke2 yi3 bu4 kao3 lv4 nong2 zhuan3 fei1 yin1 wei4 zhe4 xie1 ren2 nong2 zhuan3 fei1 yi3 wu2 shi2 ji4 yi4 yi4 
 C13_577 ta1 mei2 you3 duo1 shao3 hao2 yan2 zhuang4 yu3 dan4 ta1 que4 ba3 ai4 qin1 ren2 ai4 jia1 ting2 ai4 zu3 guo2 ai4 jun1 dui4 wan2 mei3 de5 tong3 yi1 le5 qi3 lai5 
 C13_587 xin1 hua2 she4 kun1 ming2 er4 yue4 shi2 er4 ri4 dian4 wo3 guo2 zhu4 ming2 zhe2 xue2 jia1 ai4 si1 qi2 de5 yi4 pi1 yi2 wu4 zui4 jin4 cong2 bei3 jing1 song4 wang3 yun2 nan2 teng2 chong1 
 C13_589 ta1 cong2 you4 nian2 kai1 shi3 ji2 shou4 dao4 yin1 yue4 xun1 tao2 liu4 sui4 ji2 jie1 shou4 yin1 yue4 jiao4 yu5 ceng2 sui2 fu4 xue2 xi2 da4 ti2 qin2 
 C13_611 ta1 shuo1 ya4 yi4 niu3 yue1 ren2 wei4 ta1 men5 neng2 gou4 wei4 ya4 mei3 liang3 da4 lu4 de5 min2 zu2 yu3 yan2 he2 wen2 hua4 jia4 she4 qiao2 liang2 er2 gan3 dao4 zi4 hao2 
 C13_634 qian2 yi1 duan4 guan1 bi4 xiao3 mei2 yao2 you3 ren2 yuan4 chu1 yi4 bai3 wan4 yuan2 yao4 wo3 de5 tou2 jin1 tian1 guan1 tu3 lian4 jiao1 you4 you3 ren2 chu1 yi4 bai3 wan4 
 C13_687 wang2 li4 qiang2 hui4 xiang4 ning3 duan4 yi4 gen1 huang2 gua1 yi2 yang4 ka1 cha1 yi4 sheng1 ning3 duan4 wo3 de5 bo2 zi5 
 C13_694 qu3 dai4 de5 duo1 shi4 gan4 min3 yue4 ming2 ci2 chang3 sheng1 chan3 de5 bao2 bai2 ci2 xiao3 bei1 xiao2 qiao3 ling2 long2 zhuang4 ru2 ban4 ge5 ping1 pang1 qiu2 da4 xiao3 san1 ge5 bei1 die2 qi3 ke3 han2 yu2 kou3 er2 bu2 lu4 
 C13_706 ling4 wai4 kuang4 qu1 mei2 tan4 guan2 li3 ju2 dui4 xiang1 zhen4 kuang4 de5 kai1 cai3 fan4 wei2 zuo4 le5 ming2 que4 hua4 fen1 yan2 jin4 yue4 jie4 yue4 ceng2 kai1 cai3 
 C13_722 xian4 jie1 duan4 wei4 sheng1 shi4 ye4 shou3 fa1 zhan3 ying1 cong2 wai4 yan2 zhuan3 xiang4 nei4 han2 yi3 ti2 gao1 xian4 you3 wei4 sheng1 zi1 yuan2 de5 li4 yong4 xiao4 lv5 wei2 zhong4 dian3 
 C14_501 ke3 shi4 xiao3 pang4 zi5 ke3 bie2 sheng1 bing4 ba4 de5 biao3 niang2 de5 jie4 zhi5 quan2 dei3 zan4 ru4 dang4 pu4 er2 qie3 zhou4 ye4 chi1 bu4 hao3 shui4 bu4 an1 bu2 ya4 yu2 guo2 nan4 dang1 qian2 
 C14_516 lu2 tai4 yu2 yin1 fan4 you3 zhu3 dong4 can1 yu4 jun1 shi4 pan4 luan4 he2 nei4 luan4 zui4 mou2 sha1 shang4 si5 wei4 sui4 zui4 ji2 shou4 hui4 zui4 deng3 bei4 pan4 chu3 wu2 qi1 tu2 xing2 
 C14_518 gan1 shu3 tian1 e2 zai4 wo2 sheng3 di4 gua1 zhong4 zhi2 qu1 dou1 you2 suo3 fa1 sheng1 yi4 ban1 yi4 nian2 fa1 sheng1 liang3 dai4 yi3 yong3 zai4 tu3 zhong1 yue4 dong1 
 C14_524 er4 shi2 nian2 lai2 yan1 cao3 shang1 cheng2 le5 zhi4 pian4 shang1 de5 cai2 shen5 ye2 yan1 cao3 guang3 gao4 yue4 zuo4 yue4 jing1 mei3 bian4 xiang4 guang3 gao4 geng4 shi4 hua1 yang4 bai3 chu1 
 C14_529 ming2 hong2 xiao3 fo2 lia3 wei4 nv2 you3 ji1 hu1 da4 jing1 shi1 se4 wo3 ye3 jing1 de5 fei1 tong2 xiao2 ke3 zen3 me5 na4 zhe4 fan4 sha2 cuo4 wu4 le5 
 C14_537 dang1 si1 xiang3 po1 wei2 kai1 fang4 de5 zhong1 nian2 cun1 zhang3 wang2 you3 shuang1 ling3 wo3 lai2 dao4 wang2 jun1 xia2 jia1 de5 shi2 hou5 wo3 zheng1 le5 yi2 xia4 
 C14_556 ying1 xiong2 zeng1 zhao4 gang1 wu2 kui4 yu2 zhe4 guang1 rong2 de5 cheng1 hao4 wu2 kui4 yu2 wo3 men5 de5 shi2 dai4 
 C14_562 dang1 di4 yu2 min2 yong4 zhe4 zhong3 wang3 lai2 zuo4 yu2 wang3 fei1 chang2 jie1 shi5 nai4 yong4 er2 qie3 bu2 pa4 hai2 shui3 fu3 shi2 
 C14_585 suan4 chou2 jiu4 shi5 yi4 xie1 yong4 mu4 zhu2 zhi4 zuo4 de5 yun2 chen4 de5 xiao3 gun4 suan4 chou2 zong4 heng2 bu4 zhi4 jiu4 ke2 yi3 biao3 shi4 ren4 he2 yi2 ge4 zi4 ran2 shu4 
 C14_594 tong1 pian1 yang2 yi4 zhe5 ai4 guo2 jia1 ai4 ji2 ti3 ai4 she4 hui4 ai4 ta1 ren2 de5 zhi4 pu3 zhi4 cheng2 gao1 yang2 zhe5 jing1 shen2 wen2 ming2 de5 zhu3 xuan2 lv4 
 C14_596 ta1 men5 neng2 zuo4 wei2 ke1 yan2 de5 ti1 dui4 ding3 shang4 lai5 wo3 ye3 ke2 yi3 fang4 xin1 qu4 gan4 wo3 suo3 xi3 ai4 de5 ye3 wai4 kao3 cha2 le5 
 C14_600 zai4 ta3 shan1 ying1 xiong2 tuan2 wei4 wen4 yan3 chu1 shi2 guan1 bing1 men5 kan4 wan2 yan3 chu1 hou4 yong4 zhong1 hua2 feng1 gu3 zhan4 shi4 ben3 se4 lai2 zan4 mei3 yan3 zhi2 yuan2 
 C14_627 dan4 shi4 ta1 ning4 yuan4 rang4 zi4 ji3 he2 qi1 zi5 er2 nv3 chi1 kang1 yan4 cai4 ye3 bu2 rang4 wang2 shi4 yun2 lao3 ren2 chi1 ku3 
 C14_628 zhe4 yang4 de5 xiu1 yang3 de5 yan3 yuan2 ji2 shi3 zheng4 zou3 hong2 ye3 bu2 guo4 ru2 guo4 yan3 yun2 yan1 er2 yi3 cheng2 bu5 liao3 zhen1 zheng4 yi4 yi4 shang4 de5 yi4 shu4 jia1 
 C14_630 a1 zha1 er3 yao1 qiu2 xiu1 gai3 ying1 guo2 de5 fei3 bang4 fa3 shi3 zhi1 bu4 jin3 shi4 yong4 yu2 ji1 du1 jiao4 er2 qie3 ye3 shi4 yong4 yu2 yi1 si1 lan2 jiao4 
 C14_635 ri4 ben3 dui4 zai4 nan2 zi3 tuan2 ti3 sai4 zhong1 huo4 yin2 pai2 dui4 yuan2 yan2 jing3 zhe2 xian2 zai4 ge4 ren2 quan2 neng2 sai4 ye3 duo2 de2 yi4 mei2 yin2 pai2 
 C14_638 xiang4 gun2 xue3 qiu2 na4 yang4 yu4 gun3 yu4 da4 yu4 da4 yu4 gun3 gou4 zhu4 cheng2 le5 guang1 yao4 xian3 he4 de5 qun2 feng1 
 C14_647 ni3 de5 jie3 men5 er5 ne5 wo3 mang2 ying2 shang4 qu5 wen4 wo3 men5 zhe4 er5 yi1 bang1 cao1 lao3 ye2 men5 er2 deng3 zhe5 he2 ta1 men5 ren4 shi5 ren4 shi5 ne5 
 C14_664 jia1 ling2 jiang1 chong2 qing4 hang2 dao4 duan4 cong2 qu4 nian2 shi2 yue5 qi3 bian4 ting2 zhi3 hang2 dao4 shu1 jun4 er2 luan4 wa1 luan4 cai3 xian4 xiang4 que4 geng4 jia1 yan2 zhong4 
 C14_669 ta1 xiang3 zhong1 yi1 jiang3 yin1 yang2 tiao2 he2 yin1 yang2 bu4 xie2 tiao2 bu4 ping2 heng2 jiu4 hui4 sheng1 bing4 jian1 zhou1 yan2 ye3 shi4 ren2 ti3 nei4 bu4 xie2 tiao2 bu4 ping2 heng2 de5 biao3 xian4 
 C14_670 bi3 sai4 cai3 yong4 shuang1 xun2 huan2 liang3 ju2 ji4 fen1 zhi4 zai4 shi2 lun2 gong4 ji4 er4 shi2 chang3 jiao4 liang5 zhong1 ding4 chu1 sheng4 fu4 de5 zhi2 you3 ba1 chang3 er2 shuang1 fang1 wo4 shou3 yan2 he2 de5 you3 shi2 er4 chang3 
 C14_677 yi1 wei4 zhuan1 jia1 tan2 dao4 da4 jia1 gan3 xing4 qu5 de5 jian3 fei2 shi2 shuo1 jian3 fei2 wu2 wai4 hu1 chi1 yao4 jian3 fei2 he2 ti3 wai4 jian3 fei2 liang2 zhong3 
 C14_713 zhe4 li3 sheng4 chan3 de5 lian2 ou3 sheng1 shi2 tian2 chao3 shi2 cui4 dun4 shi2 fen3 tong3 cu1 pi2 bao2 jie2 chang2 rou4 nen4 wei4 xian1 ying2 yang3 feng1 fu4 
 C14_724 ying1 tao2 ju4 shuo1 wen2 kao3 wei2 ying1 niao3 suo3 han2 shi2 gu4 you4 ming2 wei2 ying1 tao2 han2 tao2 shu3 qiang2 wei1 ke1 zhi2 wu4 
 C14_725 nin2 yao4 shi4 xiang1 xin4 wo3 shi4 sha1 ren2 xiong1 shou3 er2 rang4 zhen1 zheng4 de5 xiong1 shou3 xiao1 yao2 fa3 wai4 de5 hua4 jiu4 qing3 nin2 ba3 wo3 zhua1 qi3 lai5 
 C14_747 dang1 wo3 bing4 yu4 qu4 yi1 yuan4 kan4 wang4 nin2 shi2 nin2 zhe4 ge5 nian2 zhang2 zhe3 que4 tang3 zai4 bing4 chuang2 shang5 jin2 jin3 la1 zhe5 wo3 de5 shou3 yin1 yin1 zhu3 wo3 bao3 zhong4 
 C17_529 ming2 hong2 xiao3 fo2 lia3 wei4 nv2 you3 ji1 hu1 da4 jing1 shi1 se4 wo3 ye3 jing1 de5 fei1 tong2 xiao2 ke3 zen3 me5 na4 zhe4 fan4 sha2 cuo4 wu4 le5 
 C17_556 ying1 xiong2 zeng1 zhao4 gang1 wu2 kui4 yu2 zhe4 guang1 rong2 de5 cheng1 hao4 wu2 kui4 yu2 wo3 men5 de5 shi2 dai4 
 C17_567 ri4 ben3 yin2 hang2 wei4 le5 fang2 zhi3 wei3 zao4 zai4 piao4 mian4 shang5 cai2 qu3 le5 yan2 mi4 de5 fang2 wei3 cuo4 shi1 chao1 piao4 zhong1 hai2 han2 you3 ci2 xing4 gan3 ying4 cai2 liao4 
 C17_592 chu2 zi5 qi4 qi4 bi3 ao4 shou4 dao4 zhu3 ren2 de5 ze2 guai4 que4 sui2 kou3 shuo1 le5 ju4 miao4 yu3 shi3 zhu3 ren2 zhuan3 nu4 wei2 xi3 rao2 shu4 le5 ta1 
 C17_596 ta1 men5 neng2 zuo4 wei2 ke1 yan2 de5 ti1 dui4 ding3 shang4 lai5 wo3 ye3 ke2 yi3 fang4 xin1 qu4 gan4 wo3 suo3 xi3 ai4 de5 ye3 wai4 kao3 cha2 le5 
 C17_597 ta1 wu2 yi2 zai4 shi2 xia4 jiang2 pin3 zheng4 shu1 yue4 fa1 yue4 zhong4 yue4 fa1 yue4 lan4 de5 liu2 bi4 zhong1 chui1 jin4 yi1 gu3 qing1 xin1 zhi1 feng1 
 C17_600 zai4 ta3 shan1 ying1 xiong2 tuan2 wei4 wen4 yan3 chu1 shi2 guan1 bing1 men5 kan4 wan2 yan3 chu1 hou4 yong4 zhong1 hua2 feng1 gu3 zhan4 shi4 ben3 se4 lai2 zan4 mei3 yan3 zhi2 yuan2 
 C17_603 jin1 wan3 zai4 shun4 de2 ti3 yu4 zhong1 xin1 guo2 jia1 zu2 qiu2 ji2 xun4 dui4 tiao3 deng1 ye4 zhan4 guang3 zhou1 dui4 shuang1 fang1 yi3 er4 bi3 er4 wo4 shou3 yan2 he2 
 C17_618 yi1 jiu3 si4 yi1 nian2 shi2 yi1 yue4 shan3 gan1 ning2 bian1 qu1 gen1 ju4 san1 san1 zhi4 yuan2 ze2 ju3 xing2 can1 yi4 hui4 yi4 yuan2 jing4 xuan3 yi1 wei4 ming2 jiao4 sen1 jian4 de5 xue2 yuan2 bei4 tui1 wei2 hou4 xuan3 ren2 
 C17_627 dan4 shi4 ta1 ning4 yuan4 rang4 zi4 ji3 he2 qi1 zi5 er2 nv3 chi1 kang1 yan4 cai4 ye3 bu2 rang4 wang2 shi4 yun2 lao3 ren2 chi1 ku3 
 C17_641 shuan1 xian4 shi2 xian1 shuan1 zuo3 wan4 tong2 shi2 yao4 ju2 qi3 you4 shou3 shuan1 you4 wan4 shi2 yao4 ju2 qi3 zuo2 shou3 
 C17_669 ta1 xiang3 zhong1 yi1 jiang3 yin1 yang2 tiao2 he2 yin1 yang2 bu4 xie2 tiao2 bu4 ping2 heng2 jiu4 hui4 sheng1 bing4 jian1 zhou1 yan2 ye3 shi4 ren2 ti3 nei4 bu4 xie2 tiao2 bu4 ping2 heng2 de5 biao3 xian4 
 C17_671 ru2 he2 ti2 gao1 shao4 er2 du2 wu4 de5 zhi4 liang4 song4 qing4 ling2 ye3 ti2 chu1 le5 hen3 zhuo2 yue4 de5 jian4 jie3 na4 jiu4 shi5 zhua1 chuang4 zuo4 zhua1 shu1 gao3 
 C17_678 tian1 xin1 gua4 zhe5 meng2 meng2 de5 dan4 zi3 piao1 zhe5 pian4 pian5 de5 shen1 hong2 ou3 er2 you3 yi1 si1 jin1 mang2 zheng1 zha2 zhe5 yi4 xiang4 qing1 dian4 de5 yao2 kong1 
 C17_689 ji3 nian2 qian2 wo3 zhong1 yu2 you3 ji1 hui4 dao4 le5 xiang4 wang3 yi3 jiu3 chong1 man3 meng4 huan4 se4 cai3 de5 a1 wa3 shan1 kao3 cha2 cang1 yuan2 ya2 hua4 
 C17_695 guo2 nei4 you3 guan1 zhuan1 jia1 de5 yan2 jiu1 ye3 biao3 ming2 jin4 qi1 wo3 guo2 xin4 yong4 ka3 de5 ying4 yong4 zhi4 shao3 zai4 wu3 da4 ling3 yu4 you3 zhe5 you4 ren2 de5 qian2 jing3 
 C17_736 zhe4 ye3 nan2 guai4 gai1 chang3 yi3 zou2 ma3 deng1 shi4 de5 huan4 le5 shi2 ji3 wei4 chang2 zhang3 mei2 yi2 ge4 you3 neng2 nai5 ba3 chang3 zi5 zheng3 hao3 
 C17_748 zhuan1 ye4 xun2 hu1 wang3 zhong1 hua2 xun4 xun2 hu1 tai2 rong2 deng1 bang2 shou3 da4 zhang3 le5 zhuan1 ye4 xun2 hu1 wang3 de5 zhi4 qi5 he2 xing4 qu4 
 C18_502 liu4 sheng3 qu1 jun1 wei2 huang2 tu3 gao1 yuan2 qu1 shen1 shan1 qu1 huang1 mo4 qu1 he2 gao1 han2 shan1 qu1 zi4 ran2 tiao2 jian4 e4 lie4 zai1 hai4 pin2 fan2 
 C18_509 nian2 di3 mian2 fang3 yin4 ran2 chang3 niu3 kui1 wei2 ying2 bing4 shi2 xian4 li4 shui4 yi4 qian1 yi4 bai3 wan4 yuan2 cheng2 wei2 quan2 guo2 fang3 zhi1 hang2 ye4 niu3 kui1 zeng1 ying2 da4 hu4 
 C18_538 ta1 yao4 xue2 xi2 you4 yao4 bang1 nai3 nai5 chi2 jia1 ke3 fan1 yue4 ta1 de5 zuo4 ye4 ben3 gen1 ben3 kan4 bu2 dao4 ba1 shi5 fen1 yi3 xia4 de5 cheng2 ji4 
 C18_546 xiang1 chuan2 sui2 yang2 di4 nan2 xia4 yang2 zhou1 kan4 qiong2 hua1 tu2 jing1 huai2 yin1 shi2 wen2 de2 huai2 yin1 pao2 chu2 shan4 chang2 shao1 yu2 nai3 tu1 fa1 qi2 xiang3 
 C18_548 zai4 shi4 chang3 pi2 ruan3 de5 qing2 kuang4 xia4 zhe4 ge5 cheng2 ji4 lai2 zhi1 bu2 yi4 a5 shuo1 qi3 lai2 yu3 gai1 chang3 chi4 hei1 yue1 ri4 chang2 zhang3 de5 da4 peng2 che1 you3 guan1 
 C18_553 quan2 xian4 zhong4 dian3 tui1 guang3 le5 wang3 xiang1 yang3 zhi2 ji4 shu4 gui4 yu2 miao2 fan2 zhi2 ji4 shu4 jia3 yu2 pang2 xie4 fan2 bang4 yu4 zhu1 deng3 te4 zhong3 yang3 zhi2 ji4 shu4 
 C18_556 ying1 xiong2 zeng1 zhao4 gang1 wu2 kui4 yu2 zhe4 guang1 rong2 de5 cheng1 hao4 wu2 kui4 yu2 wo3 men5 de5 shi2 dai4 
 C18_557 zai4 fu2 yuan2 liao2 kuo4 de5 nong2 cun1 jie3 jue2 le5 wen1 bao3 wen4 ti2 de5 nong2 min2 jing1 shen5 wen2 hua4 xu1 qiu2 wen4 ti2 yue4 lai2 yue4 tu1 chu1 
 C18_573 zhi4 yu2 ye4 yi3 jie2 hun1 cheng2 jia1 de5 ren2 yuan2 ke2 yi3 bu4 kao3 lv4 nong2 zhuan3 fei1 yin1 wei4 zhe4 xie1 ren2 nong2 zhuan3 fei1 yi3 wu2 shi2 ji4 yi4 yi4 
 C18_588 yi4 tian1 jian4 she4 cun1 san1 shi2 yi2 zhuang4 qi1 shi5 yi1 sui4 de5 lao3 tai4 tai5 wang2 nian2 yu4 bu2 gu4 nian2 mai4 ti3 ruo4 zhu3 dong4 bang1 lin2 ju1 qin2 li3 zhen1 mai3 mi3 
 C18_593 yi2 lei4 zhen4 tong4 xin1 yao4 yan2 suan1 er4 qing1 ai1 tuo1 fei1 de5 yan2 zhi4 cheng2 gong1 wei4 ren2 lei4 xun2 zhao3 xin1 de5 te4 xiao4 zhen4 tong4 yao4 wu4 kai1 pi4 le5 xin1 lu4 
 C18_594 tong1 pian1 yang2 yi4 zhe5 ai4 guo2 jia1 ai4 ji2 ti3 ai4 she4 hui4 ai4 ta1 ren2 de5 zhi4 pu3 zhi4 cheng2 gao1 yang2 zhe5 jing1 shen2 wen2 ming2 de5 zhu3 xuan2 lv4 
 C18_599 ke3 shi4 chang2 chang2 you3 ren2 gao4 su5 yao2 xian1 sheng5 shuo1 kan4 jian4 er4 xiao2 jie3 zai4 ka1 fei1 guan2 li3 he2 wang2 jun4 ye4 wo4 zhuo2 shou3 yi2 zuo4 zuo4 shang5 ji3 ge4 zhong1 tou2 
 C18_606 shi2 yue4 ge2 ming4 hou4 wei4 le5 jiao4 yu5 liu2 lang4 he2 fan4 zui4 er2 tong2 ma3 ka3 lian2 ke1 zai4 bo1 er3 ta3 wa3 chuang4 jian4 le5 gao1 er3 ji1 gong1 xue2 tuan2 
 C18_619 yi2 ge4 min2 zu2 yao4 you3 min2 zu2 wen2 hua4 yi2 ge4 qi3 ye4 yao4 you3 qi3 ye4 wen2 hua4 er2 yi2 ge4 jia1 ye3 yao4 you3 jia1 ting2 wen2 hua4 
 C18_626 wo2 yi3 wei2 zhe4 bi4 neng2 wen4 zhu4 ta1 men5 yin1 wei4 ta1 men5 bi4 bu2 hui4 zai4 wei4 pa4 wo3 cheng2 le5 lao3 jue2 hu4 er2 yuan4 mei3 yue4 jin1 tie1 wo3 duo1 shao3 qian2 
 C18_651 she4 zhi4 zu3 quan2 ti3 ren2 yuan2 yi3 ying1 xiong2 sao3 lei2 dui4 wei2 bang3 yang4 zai4 lei2 qu1 wan2 qiang2 pin1 bo2 ri4 ye4 fen4 zhan4 
 C18_656 ta1 qing1 ru2 er2 yu3 de5 wen4 ta1 shi4 fou3 you3 kong4 neng2 bu5 neng2 qu1 zun1 pei2 ta1 shang4 jie1 mai3 xie1 pi2 pa5 wai4 mian4 hei1 ta1 pa4 yu4 shang5 dai3 ren2 
 C18_664 jia1 ling2 jiang1 chong2 qing4 hang2 dao4 duan4 cong2 qu4 nian2 shi2 yue5 qi3 bian4 ting2 zhi3 hang2 dao4 shu1 jun4 er2 luan4 wa1 luan4 cai3 xian4 xiang4 que4 geng4 jia1 yan2 zhong4 
 C18_677 yi1 wei4 zhuan1 jia1 tan2 dao4 da4 jia1 gan3 xing4 qu5 de5 jian3 fei2 shi2 shuo1 jian3 fei2 wu2 wai4 hu1 chi1 yao4 jian3 fei2 he2 ti3 wai4 jian3 fei2 liang2 zhong3 
 C18_695 guo2 nei4 you3 guan1 zhuan1 jia1 de5 yan2 jiu1 ye3 biao3 ming2 jin4 qi1 wo3 guo2 xin4 yong4 ka3 de5 ying4 yong4 zhi4 shao3 zai4 wu3 da4 ling3 yu4 you3 zhe5 you4 ren2 de5 qian2 jing3 
 C18_737 jiu3 er2 jiu3 zhi1 zhe4 xie1 guan1 nian4 zao4 cheng2 yi4 xie1 di4 fang1 de5 nong2 min2 yue4 qiong2 yue4 sheng1 yue4 sheng1 yue4 qiong2 e4 xing4 xun2 huan2 
 C18_745 qian2 xuan2 tong2 chi4 ze2 yi2 wei4 ni3 gu3 de5 pian2 wen2 san3 wen2 wei2 xuan3 xue2 yao1 nie4 tong2 cheng2 miu4 zhong3
 C18_748 zhuan1 ye4 xun2 hu1 wang3 zhong1 hua2 xun4 xun2 hu1 tai2 rong2 deng1 bang2 shou3 da4 zhang3 le5 zhuan1 ye4 xun2 hu1 wang3 de5 zhi4 qi5 he2 xing4 qu4 
 C19_509 nian2 di3 mian2 fang3 yin4 ran2 chang3 niu3 kui1 wei2 ying2 bing4 shi2 xian4 li4 shui4 yi4 qian1 yi4 bai3 wan4 yuan2 cheng2 wei2 quan2 guo2 fang3 zhi1 hang2 ye4 niu3 kui1 zeng1 ying2 da4 hu4 
 C19_530 ta1 de5 shi2 zhuang1 she4 ji5 ji4 you3 rong2 ru4 qian2 wei4 yi4 shi5 de5 xian1 feng1 pai4 zuo4 pin3 you4 you3 jiang1 yi4 shu4 xing4 yu3 shi2 yong4 xing4 wan2 mei3 jie2 he2 de5 jia1 zuo4 
 C19_536 jin4 ri4 wo3 xian4 nan2 he2 dian4 zhan4 ku4 qu1 yu2 lei4 da4 liang4 si3 wang2 yuan2 yin1 shi4 shang4 you2 bao3 kang1 xian4 pai2 fang4 de5 gong1 ye4 fei4 shui3 da4 liang4 liu2 ru4 
 C19_567 ri4 ben3 yin2 hang2 wei4 le5 fang2 zhi3 wei3 zao4 zai4 piao4 mian4 shang5 cai2 qu3 le5 yan2 mi4 de5 fang2 wei3 cuo4 shi1 chao1 piao4 zhong1 hai2 han2 you3 ci2 xing4 gan3 ying4 cai2 liao4 
 C19_570 zhe4 zhong1 jian1 zui4 rang4 ren2 cheng1 mu4 jie2 she2 de5 li4 zi5 da4 gai4 yao4 suan4 tang2 zhi2 yan2 juan4 er4 suo3 ji4 de5 na4 wei4 wang2 ling2 ran2 le5 
 C19_593 yi2 lei4 zhen4 tong4 xin1 yao4 yan2 suan1 er4 qing1 ai1 tuo1 fei1 de5 yan2 zhi4 cheng2 gong1 wei4 ren2 lei4 xun2 zhao3 xin1 de5 te4 xiao4 zhen4 tong4 yao4 wu4 kai1 pi4 le5 xin1 lu4 
 C19_607 guo2 wu4 yuan4 lin2 ye4 xing2 zheng4 zhu2 guan3 bu4 men2 zhu2 guan3 quan2 guo2 lin2 qu1 nei4 ye3 sheng1 zhi2 wu4 he2 lin2 qu1 wai4 zhen1 gui4 ye3 sheng1 shu4 mu4 de5 jian1 du1 guan2 li3 gong1 zuo4 
 C19_613 yi1 lang3 ling3 xiu4 ha1 mei2 nei4 yi1 zong2 tong3 la1 fu1 sang1 jia3 ni2 di4 yi1 fu4 zong2 tong3 ha1 bi2 bi3 deng3 dou1 ceng2 jing1 fang3 wen4 guo4 zhong1 guo2 
 C19_617 shen1 zhuo2 zang4 pao2 yin3 su1 you2 cha2 qi2 ma3 chi2 cheng3 yu2 huang1 yuan2 cheng2 wei2 xu3 duo1 hai3 wai4 you2 ke4 nan2 yi3 wang4 que4 de5 ti3 yan4 
 C19_622 xing4 fu2 de5 nan2 ren5 cai2 hui4 ba3 quan2 bu4 xin1 si5 dou1 yong4 zai4 gong1 zuo4 shang4 wo3 bu4 neng2 rang4 ren2 jue2 de5 wo3 de5 hou4 yuan4 ye3 xu1 yao4 wo3 fen1 xin1 
 C19_639 tan2 ye3 ma2 zi5 ma4 li4 gang1 wo1 nang5 li4 gang1 ye3 ren4 wei2 zi4 ji3 dui4 song1 ye3 tai4 zao4 zhi1 si3 fu4 you3 bu4 ke3 tui1 xie4 de5 ze2 ren4 
 C19_665 ci3 wai4 jie4 yan1 guang3 gao4 yu4 fang2 ai4 zi1 bing4 guang3 gao4 jin4 zhi3 jiu3 hou4 kai1 che1 guang3 gao4 deng3 ye3 chang2 tu1 chu1 yun4 yong4 si3 wang2 deng3 kong3 ju4 jing4 tou2 
 C19_678 tian1 xin1 gua4 zhe5 meng2 meng2 de5 dan4 zi3 piao1 zhe5 pian4 pian5 de5 shen1 hong2 ou3 er2 you3 yi1 si1 jin1 mang2 zheng1 zha2 zhe5 yi4 xiang4 qing1 dian4 de5 yao2 kong1 
 C19_684 dan4 you3 yi2 ge4 qiao2 dun1 wai4 biao3 guang1 jie2 du4 bu2 gou4 ying2 xiang3 qiao2 liang2 wai4 guan1 you3 ren2 ren4 wei2 zhe4 yi1 xiao3 ci1 dian3 wu2 ai4 zhi4 liang4 bu2 bi4 fan3 gong1 
 C19_712 zhe4 qiang2 jing4 de5 xin1 yin1 lv4 yi4 wei4 zhe5 wo3 guo2 ji2 xu1 de5 gong1 ye4 yuan2 liao4 leng3 zha2 bao2 ban3 de5 sheng1 chan3 neng2 li4 meng3 zeng1 le5 bai3 fen1 zhi1 er4 shi2 
 C19_717 ta1 hai2 qu4 kan4 zheng3 rong2 yi1 sheng1 ba3 bi2 zi5 ye3 gai3 bian4 le5 jie2 guo3 que4 ren4 wei2 zi4 ji3 bi3 zheng3 rong2 yi3 qian2 geng4 chou3 suo2 yi3 hen3 ao4 sang4 
 C19_723 ta1 de5 sang3 yin1 tian2 run4 qie3 yin1 yu4 kuan1 hou4 gao1 di1 zi4 ran2 yun4 yong4 zi4 ru2 bing4 you3 you1 mei3 de5 zhuang1 shi4 chan4 yin1 
 C20_511 jiang1 xi1 hu2 kou3 xian4 shuang1 zhong1 shui2 chan3 chang3 yu2 min2 zhang1 hou4 yu2 ri4 qian2 jiang1 yi1 tiao2 bu3 huo4 ru4 wang3 de5 xing2 si4 bian1 yu2 de5 yan1 zhi5 yu2 fang4 hui2 jiang1 zhong1 
 C20_515 wo3 ai4 hua1 ai4 zi4 ran2 jie4 de5 hua1 geng4 ai4 yong4 ge4 zhong3 wen2 yi4 xing2 shi4 su4 zao4 pei2 yu4 de5 sheng1 ming4 sheng1 huo2 de5 hua1 you3 yi4 de5 hua1 
 C20_521 ta1 men5 you4 pai4 yi1 dui4 ren2 deng1 shang4 an4 qu4 wan1 zhe5 gong1 nu3 jian4 tou2 chao2 zhun3 xiao3 chuan2 bu2 rang4 chuan2 li3 de5 ren2 neng2 you3 yi2 ge4 tao2 shang4 an4 qu4 
 C20_530 ta1 de5 shi2 zhuang1 she4 ji5 ji4 you3 rong2 ru4 qian2 wei4 yi4 shi5 de5 xian1 feng1 pai4 zuo4 pin3 you4 you3 jiang1 yi4 shu4 xing4 yu3 shi2 yong4 xing4 wan2 mei3 jie2 he2 de5 jia1 zuo4 
 C20_531 xie4 yue4 e2 da4 shi3 qing3 xie4 xin1 la1 na4 lie4 he2 hong2 sen1 zhuan3 da2 zhong1 guo2 zheng4 fu3 he2 ren2 min2 dui4 xi1 ha1 nu3 ke4 guo2 wang2 de5 shen1 qie4 xie4 yi4 
 C20_561 bei4 gan3 xia4 wang2 wei4 hou4 hai2 yao4 bei4 zhong4 hou2 tui1 xia4 nu4 jiang1 yan1 si3 suo2 yi3 jiao4 zang4 wang2 tan1 
 C20_567 ri4 ben3 yin2 hang2 wei4 le5 fang2 zhi3 wei3 zao4 zai4 piao4 mian4 shang5 cai2 qu3 le5 yan2 mi4 de5 fang2 wei3 cuo4 shi1 chao1 piao4 zhong1 hai2 han2 you3 ci2 xing4 gan3 ying4 cai2 liao4 
 C20_587 xin1 hua2 she4 kun1 ming2 er4 yue4 shi2 er4 ri4 dian4 wo3 guo2 zhu4 ming2 zhe2 xue2 jia1 ai4 si1 qi2 de5 yi4 pi1 yi2 wu4 zui4 jin4 cong2 bei3 jing1 song4 wang3 yun2 nan2 teng2 chong1 
 C20_588 yi4 tian1 jian4 she4 cun1 san1 shi2 yi2 zhuang4 qi1 shi5 yi1 sui4 de5 lao3 tai4 tai5 wang2 nian2 yu4 bu2 gu4 nian2 mai4 ti3 ruo4 zhu3 dong4 bang1 lin2 ju1 qin2 li3 zhen1 mai3 mi3 
 C20_606 shi2 yue4 ge2 ming4 hou4 wei4 le5 jiao4 yu5 liu2 lang4 he2 fan4 zui4 er2 tong2 ma3 ka3 lian2 ke1 zai4 bo1 er3 ta3 wa3 chuang4 jian4 le5 gao1 er3 ji1 gong1 xue2 tuan2 
 C20_610 yi1 jiu3 jiu3 san1 nian2 tai2 wan1 cha2 yin3 liao4 xiao1 shou4 e2 da2 wu3 yi4 mei3 yuan2 shi4 ge4 lei4 yin3 liao4 zhong1 zeng1 fu2 zui4 kuai4 de5 chan2 pin3 
 C20_612 tu2 wei2 shen3 yang2 lv3 ke4 zhang1 hui4 quan2 fu1 fu4 huai2 bao4 er4 ge4 ke3 ai4 de5 ying1 er2 zhuan1 cheng2 lai2 dao4 ji3 nan2 huo3 che1 zhan4 zhi2 ban1 shi4 gan3 xie4 jiu4 ming4 en1 ren2 
 C20_613 yi1 lang3 ling3 xiu4 ha1 mei2 nei4 yi1 zong2 tong3 la1 fu1 sang1 jia3 ni2 di4 yi1 fu4 zong2 tong3 ha1 bi2 bi3 deng3 dou1 ceng2 jing1 fang3 wen4 guo4 zhong1 guo2 
 C20_616 wo3 de5 jian1 bang3 hun2 yuan2 xiong1 qian2 fei2 du1 du1 de5 shen1 cai2 you4 bian4 de5 na4 me5 ai2 xiao3 you2 qi2 shi4 jiao3 xia4 hao3 xiang4 cai3 zhe5 gao1 qiao1 jian3 zhi2 yao4 ba3 jiao3 jin1 beng1 duan4 
 C20_624 ru2 jin1 zai4 er2 hai3 hu2 mian4 shang5 san1 qian1 duo1 sou1 yun4 shu1 chuan2 bu3 lao1 chuan2 nong2 yong4 he2 yang3 yu2 chuan2 ri4 ye4 chuan1 suo1 mang2 lu4 
 C20_626 wo2 yi3 wei2 zhe4 bi4 neng2 wen4 zhu4 ta1 men5 yin1 wei4 ta1 men5 bi4 bu2 hui4 zai4 wei4 pa4 wo3 cheng2 le5 lao3 jue2 hu4 er2 yuan4 mei3 yue4 jin1 tie1 wo3 duo1 shao3 qian2 
 C20_628 zhe4 yang4 de5 xiu1 yang3 de5 yan3 yuan2 ji2 shi3 zheng4 zou3 hong2 ye3 bu2 guo4 ru2 guo4 yan3 yun2 yan1 er2 yi3 cheng2 bu5 liao3 zhen1 zheng4 yi4 yi4 shang4 de5 yi4 shu4 jia1 
 C20_635 ri4 ben3 dui4 zai4 nan2 zi3 tuan2 ti3 sai4 zhong1 huo4 yin2 pai2 dui4 yuan2 yan2 jing3 zhe2 xian2 zai4 ge4 ren2 quan2 neng2 sai4 ye3 duo2 de2 yi4 mei2 yin2 pai2 
 C20_638 xiang4 gun2 xue3 qiu2 na4 yang4 yu4 gun3 yu4 da4 yu4 da4 yu4 gun3 gou4 zhu4 cheng2 le5 guang1 yao4 xian3 he4 de5 qun2 feng1 
 C20_641 shuan1 xian4 shi2 xian1 shuan1 zuo3 wan4 tong2 shi2 yao4 ju2 qi3 you4 shou3 shuan1 you4 wan4 shi2 yao4 ju2 qi3 zuo2 shou3 
 C20_643 qin2 hua2 sun1 zhi3 chu1 wei4 le5 shi2 xian4 yin4 du4 yang2 he2 ping2 qu1 de5 mu4 biao1 xu1 yao4 qu1 yu4 nei4 bu4 he2 wai4 bu4 guo2 jia1 de5 gong4 tong2 nu3 li4 
 C20_657 qu4 nian2 ba1 yue4 ba1 ri4 yi4 qun2 chu1 zhong1 xue2 sheng1 zai4 gai1 zhou1 heng1 de2 sen1 xian4 you2 wan2 shi2 zhua1 zhu4 er4 shi2 er4 zhi3 qing1 wa1 qi2 zhong1 shi2 yi4 zhi1 hou4 tui3 yan2 zhong4 ji1 xing2 
 C20_658 pang2 tai4 tai5 yi2 lu4 xiao4 zhe5 zou3 lai2 kai1 chuang1 wu2 yuan2 wu2 gu4 chao2 wai4 kan4 yi5 kan4 xiu4 yi1 xiu4 jiang1 yi1 zhi3 yong4 guo4 de5 ya2 qian1 diu1 chu1 qu4 
 C20_686 mei3 dao4 yue4 hui4 yin1 yu3 ye4 jian1 lang2 hao2 sheng1 jiu4 yuan3 yuan3 jin4 jin4 chuan2 lai2 sheng1 yin1 di1 chen2 er2 mian2 chang2 si4 hu1 za2 jia2 zhe5 you1 yu4 yu3 bei1 shang1 
 C20_699 chang2 an1 huan4 shang4 le5 lan2 ai4 guo2 bu4 de5 xiao4 fu2 bu2 shang4 ban4 nian2 lian3 se4 ye3 hong2 run4 le5 ge1 bo5 tui3 wan4 ye3 cu1 le5 yi1 quan1 
 C20_729 bao4 dao4 yuan2 yin3 zong2 tong3 fa1 yan2 ren2 kang1 sai1 sang1 de5 hua4 shuo1 duo1 si1 sang1 tuo1 si1 ren4 wei2 xian4 zai4 mei2 you3 bi4 yao4 hui4 jian4 sa4 wen2 bi3 
 C20_747 dang1 wo3 bing4 yu4 qu4 yi1 yuan4 kan4 wang4 nin2 shi2 nin2 zhe4 ge5 nian2 zhang2 zhe3 que4 tang3 zai4 bing4 chuang2 shang5 jin2 jin3 la1 zhe5 wo3 de5 shou3 yin1 yin1 zhu3 wo3 bao3 zhong4 
 C21_500 ju4 xi1 mei3 guo2 can1 yi4 yuan4 yi3 cao2 ni3 yi1 fen4 zhi1 chi2 ke4 lin2 dun4 xiang4 bo1 hei1 pai4 bing1 de5 jue2 yi4 an4 zhun3 bei4 zai4 ben3 yue4 shang4 xun2 jin4 xing2 biao3 jue2 
 C21_505 xiu1 de2 an1 min2 yun2 yun2 shuo1 de5 guo4 yu2 tang2 huang2 er2 dao3 kong1 shi2 ji4 shang5 ta1 you3 ying4 de5 yi4 shou3 he2 ruan3 de5 yi4 shou3 
 C21_520 ba1 qi2 qin1 gui4 qian1 nu4 yu2 fu2 lin2 ai4 fei1 dong3 e4 shi4 fu2 lin2 nei4 wai4 jiao1 kun4 po4 bu4 de2 yi3 yu3 qi2 zhou1 xuan2 ku3 dou4 
 C21_523 shuo1 na4 shi2 hou5 wei1 e2 da4 bie2 shan1 meng3 lie4 zhen4 chan4 le5 yi2 xia4 kuang2 feng1 zhou4 qi3 lve4 guo4 shan1 ye3 mang2 mang2 hei1 ye4 yi1 pian4 ku1 sheng1 
 C21_526 yan2 wang5 bao2 zhang3 yong4 wen2 ming2 gun4 zhe4 li3 cha1 yi2 xia4 na4 li3 tong3 yi2 xia4 yi4 xie1 po4 bu4 lan4 pian4 gei3 ta1 de5 wen2 ming2 gun4 fan1 de5 luan4 qi1 ba1 zao1 
 C21_530 ta1 de5 shi2 zhuang1 she4 ji5 ji4 you3 rong2 ru4 qian2 wei4 yi4 shi5 de5 xian1 feng1 pai4 zuo4 pin3 you4 you3 jiang1 yi4 shu4 xing4 yu3 shi2 yong4 xing4 wan2 mei3 jie2 he2 de5 jia1 zuo4 
 C21_571 chang2 jiang1 hang2 wu4 guan2 li3 ju2 he2 chang2 jiang1 lun2 chuan2 zong3 gong1 si1 zui4 jin4 jue2 ding4 an1 pai2 yi4 bai3 san1 shi2 san1 sou1 ke4 lun2 ying2 jie1 chang2 jiang1 gan4 xian4 chun1 yun4 
 C21_584 yin4 jia1 ren2 suo3 chuang4 zao4 de5 wen2 ming2 yu3 ma2 ya3 wen2 ming2 a1 zi1 te4 ke4 wen2 ming2 yi4 qi3 bei4 yu4 wei2 mei3 zhou1 yin4 di4 an1 san1 da4 wen2 ming2 
 C21_603 jin1 wan3 zai4 shun4 de2 ti3 yu4 zhong1 xin1 guo2 jia1 zu2 qiu2 ji2 xun4 dui4 tiao3 deng1 ye4 zhan4 guang3 zhou1 dui4 shuang1 fang1 yi3 er4 bi3 er4 wo4 shou3 yan2 he2 
 C21_604 jiang3 hui4 juan1 liao4 luan2 feng4 liao4 jing4 wen2 zhai2 wen2 rong2 yan2 xiao3 jun1 pan1 chang2 yu4 pan1 wen2 lan2 xue1 zhao1 dai4 li4 fang1 
 C21_606 shi2 yue4 ge2 ming4 hou4 wei4 le5 jiao4 yu5 liu2 lang4 he2 fan4 zui4 er2 tong2 ma3 ka3 lian2 ke1 zai4 bo1 er3 ta3 wa3 chuang4 jian4 le5 gao1 er3 ji1 gong1 xue2 tuan2 
 C21_613 yi1 lang3 ling3 xiu4 ha1 mei2 nei4 yi1 zong2 tong3 la1 fu1 sang1 jia3 ni2 di4 yi1 fu4 zong2 tong3 ha1 bi2 bi3 deng3 dou1 ceng2 jing1 fang3 wen4 guo4 zhong1 guo2 
 C21_632 ya4 mei3 ni2 ya4 wai4 zhang3 pa4 pa4 zi1 yang2 jin1 zao3 fa1 biao3 sheng1 ming2 shuo1 guan1 yu2 a1 ya4 chong1 tu1 qu1 da2 cheng2 ting2 huo3 de5 xie2 yi4 bing4 wei4 qian1 shu3 
 C21_638 xiang4 gun2 xue3 qiu2 na4 yang4 yu4 gun3 yu4 da4 yu4 da4 yu4 gun3 gou4 zhu4 cheng2 le5 guang1 yao4 xian3 he4 de5 qun2 feng1 
 C21_640 yin2 hang2 cheng2 dui4 hui4 piao4 de5 cheng2 dui4 shen1 qing3 ren2 ying1 yu2 yin2 hang2 cheng2 dui4 hui4 piao4 dao4 qi1 qian2 jiang1 piao4 kuan3 zu2 e2 jiao1 cun2 qi2 kai1 hu4 yin2 hang2 
 C21_653 pu2 yang2 shi4 zheng4 jian4 she4 ri4 xin1 yue4 yi4 jie4 ding4 de5 you2 dian4 fu2 wu4 bu2 duan4 bei4 xin1 lou2 qun2 suo3 yan1 mo4 
 C21_670 bi3 sai4 cai3 yong4 shuang1 xun2 huan2 liang3 ju2 ji4 fen1 zhi4 zai4 shi2 lun2 gong4 ji4 er4 shi2 chang3 jiao4 liang5 zhong1 ding4 chu1 sheng4 fu4 de5 zhi2 you3 ba1 chang3 er2 shuang1 fang1 wo4 shou3 yan2 he2 de5 you3 shi2 er4 chang3 
 C21_684 dan4 you3 yi2 ge4 qiao2 dun1 wai4 biao3 guang1 jie2 du4 bu2 gou4 ying2 xiang3 qiao2 liang2 wai4 guan1 you3 ren2 ren4 wei2 zhe4 yi1 xiao3 ci1 dian3 wu2 ai4 zhi4 liang4 bu2 bi4 fan3 gong1 
 C21_692 mei3 jun1 yu2 shang4 yue4 er4 shi5 jiu3 ri4 sou1 cha2 le5 ni2 jia1 la1 gua1 zhu4 ba1 na2 ma3 da4 shi3 guan1 di3 san1 shi5 yi1 ri4 you4 sou1 cha2 le5 ni2 wai4 jiao1 ren2 yuan2 gong1 yu4 
 C21_709 huo4 xu3 ta1 hui4 ou2 er3 kan4 yi4 yan3 tong2 xue2 men5 shou2 li3 de5 ge4 shi4 xin1 wan2 yi4 dan4 ta1 geng4 ke3 wang4 yi1 dun4 you3 yu2 you3 rou4 de5 bao3 shi2 
 C21_721 jin1 qiu1 ba1 yue4 yi3 shi4 tian1 gao1 qi4 shuang3 zhong1 qiu1 de5 yue4 liang5 ye3 xian3 de5 shi2 fen1 ming2 liang4 te4 bie2 yuan2 man3 ge2 wai4 yi2 ren2 
 C21_730 liu2 yu4 sheng1 na4 chun2 cui4 de5 xia1 shuo1 you3 shi2 ye3 hui4 peng4 qiao3 yan2 zhong4 yin1 ci3 na4 shen2 xing4 jing4 ran2 yue4 chuan2 yue4 xuan2 hu5 
 C22_509 nian2 di3 mian2 fang3 yin4 ran2 chang3 niu3 kui1 wei2 ying2 bing4 shi2 xian4 li4 shui4 yi4 qian1 yi4 bai3 wan4 yuan2 cheng2 wei2 quan2 guo2 fang3 zhi1 hang2 ye4 niu3 kui1 zeng1 ying2 da4 hu4 
 C22_512 xie4 jin4 heng2 tong1 ying3 ye4 gong1 si1 yi3 zhong1 guo2 ben2 tu3 dian4 ying3 wei2 li4 shen1 zhi1 ben3 yi3 pai1 she4 pin3 wei2 gao1 yi4 shu4 xing4 qiang2 de5 ying3 pian4 wei2 mu4 biao1 
 C22_516 lu2 tai4 yu2 yin1 fan4 you3 zhu3 dong4 can1 yu4 jun1 shi4 pan4 luan4 he2 nei4 luan4 zui4 mou2 sha1 shang4 si5 wei4 sui4 zui4 ji2 shou4 hui4 zui4 deng3 bei4 pan4 chu3 wu2 qi1 tu2 xing2 
 C22_519 ying1 guo2 ke1 xue2 jia1 zui4 jin4 fa1 xian4 huan4 feng1 niu2 bing4 de5 niu2 de5 hou4 dai4 ye3 hen3 ke3 neng2 huan4 feng1 niu2 bing4 ying1 guo2 huan4 feng1 niu2 bing4 de5 niu2 bi3 yuan2 xian1 ren4 wei2 de5 yao4 duo1 
 C22_542 xin1 hua2 she4 ping2 rang3 yi1 yue4 shi2 si4 ri4 xiao1 xi5 ping2 rang3 di4 qu1 ri4 qian2 yan2 dong1 si4 nuan3 chun1 chu1 xian4 jin4 bai3 nian2 wei4 ceng2 you3 guo4 de5 dong1 nuan3 xian4 xiang4 
 C22_563 xia4 you2 yin4 niu2 shang4 you2 xi3 er3 ji2 ran2 ni3 yi3 zhi1 dao4 zi4 ji3 shuang1 er3 yi3 wu1 wei4 shen2 me5 you4 lai2 nong4 zang1 wo3 de5 niu2 kou3 
 C22_578 chu2 cai2 zheng4 bo1 gei3 liang3 qian1 san1 bai3 wan4 yuan2 jiao4 yu5 zi1 jin1 wai4 hai2 bo1 chu1 zhuan1 kuan3 si4 qian1 wu2 bai3 qi1 shi2 wan4 yuan2 xin1 jian4 zhong1 xiao3 xue2 
 C22_579 ta1 dao4 guo4 xu3 duo1 jun1 ying2 shao4 suo3 wei4 wen4 zi3 di4 bing1 dao4 yi1 yuan4 tan4 wang4 hu4 li3 shang1 can2 jun1 ren2 yue1 er4 qian1 qi1 bai3 duo1 ren2 ci4 
 C22_594 tong1 pian1 yang2 yi4 zhe5 ai4 guo2 jia1 ai4 ji2 ti3 ai4 she4 hui4 ai4 ta1 ren2 de5 zhi4 pu3 zhi4 cheng2 gao1 yang2 zhe5 jing1 shen2 wen2 ming2 de5 zhu3 xuan2 lv4 
 C22_596 ta1 men5 neng2 zuo4 wei2 ke1 yan2 de5 ti1 dui4 ding3 shang4 lai5 wo3 ye3 ke2 yi3 fang4 xin1 qu4 gan4 wo3 suo3 xi3 ai4 de5 ye3 wai4 kao3 cha2 le5 
 C22_603 jin1 wan3 zai4 shun4 de2 ti3 yu4 zhong1 xin1 guo2 jia1 zu2 qiu2 ji2 xun4 dui4 tiao3 deng1 ye4 zhan4 guang3 zhou1 dui4 shuang1 fang1 yi3 er4 bi3 er4 wo4 shou3 yan2 he2 
 C22_604 jiang3 hui4 juan1 liao4 luan2 feng4 liao4 jing4 wen2 zhai2 wen2 rong2 yan2 xiao3 jun1 pan1 chang2 yu4 pan1 wen2 lan2 xue1 zhao1 dai4 li4 fang1 
 C22_610 yi1 jiu3 jiu3 san1 nian2 tai2 wan1 cha2 yin3 liao4 xiao1 shou4 e2 da2 wu3 yi4 mei3 yuan2 shi4 ge4 lei4 yin3 liao4 zhong1 zeng1 fu2 zui4 kuai4 de5 chan2 pin3 
 C22_622 xing4 fu2 de5 nan2 ren5 cai2 hui4 ba3 quan2 bu4 xin1 si5 dou1 yong4 zai4 gong1 zuo4 shang4 wo3 bu4 neng2 rang4 ren2 jue2 de5 wo3 de5 hou4 yuan4 ye3 xu1 yao4 wo3 fen1 xin1 
 C22_629 liang3 ci4 dong1 ao4 hui4 guan4 jun1 wei2 te4 wei4 le5 neng2 gou4 can1 jia1 ben3 jie4 dong1 ao4 hui4 fang4 qi4 le5 zhi2 ye4 bi3 sai4 chong2 xin1 zhuan3 wei2 ye4 yu2 xuan2 shou3 
 C22_630 a1 zha1 er3 yao1 qiu2 xiu1 gai3 ying1 guo2 de5 fei3 bang4 fa3 shi3 zhi1 bu4 jin3 shi4 yong4 yu2 ji1 du1 jiao4 er2 qie3 ye3 shi4 yong4 yu2 yi1 si1 lan2 jiao4 
 C22_635 ri4 ben3 dui4 zai4 nan2 zi3 tuan2 ti3 sai4 zhong1 huo4 yin2 pai2 dui4 yuan2 yan2 jing3 zhe2 xian2 zai4 ge4 ren2 quan2 neng2 sai4 ye3 duo2 de2 yi4 mei2 yin2 pai2 
 C22_649 lu4 zhai3 er2 qu3 huan2 pan2 rao4 che1 man4 er2 luo2 xuan2 jian4 sheng1 tou2 ding3 bai2 yun2 piao1 fu2 wang4 bu4 chuan1 gao1 chu4 jiao2 di3 nu4 jiang1 shen1 xian4 kan4 bu4 qing1 tuan1 liu2 
 C22_650 si4 chuan1 mei3 shu4 xue2 yuan4 qun2 ti3 zhen4 ying2 hao4 da4 feng1 ge2 duo1 yang4 cheng2 wei2 ben3 jie4 yi4 shu4 bo2 lan3 hui4 de5 di4 yi1 da4 jing3 guan1 
 C22_656 ta1 qing1 ru2 er2 yu3 de5 wen4 ta1 shi4 fou3 you3 kong4 neng2 bu5 neng2 qu1 zun1 pei2 ta1 shang4 jie1 mai3 xie1 pi2 pa5 wai4 mian4 hei1 ta1 pa4 yu4 shang5 dai3 ren2 
 C22_658 pang2 tai4 tai5 yi2 lu4 xiao4 zhe5 zou3 lai2 kai1 chuang1 wu2 yuan2 wu2 gu4 chao2 wai4 kan4 yi5 kan4 xiu4 yi1 xiu4 jiang1 yi1 zhi3 yong4 guo4 de5 ya2 qian1 diu1 chu1 qu4 
 C22_673 li3 bai2 xing2 yin2 tu2 miao2 hui4 tang2 chao2 shi1 ren2 li3 bai2 yang3 mian4 cang1 tian1 shi1 qing2 man3 huai2 yun4 si1 cuo4 ju4 shi2 xiao1 sa3 chao1 tuo1 de5 shen2 tai4 
 C22_675 shi4 chang3 bao4 ying4 yun4 er2 sheng1 yi4 zhi2 mu4 yu4 zhe5 gai3 ge2 kai1 fang4 de5 chun1 feng1 zhuo2 zhuang4 cheng2 zhang3 ang2 shou3 kuo4 bu4 zou3 guo4 le5 shi2 wu3 nian2 li4 cheng2 
 C22_682 huang2 ying3 wei2 qu1 wei4 yu2 huai2 he2 gan4 liu2 xing2 hong2 qu1 nei4 shi4 huai2 shi3 quan2 san1 tiao2 he2 liu2 he2 shang4 you2 yu4 wan3 e4 san1 sheng3 er4 shi2 ba1 xian4 de5 hong2 shui3 hui4 liu2 chu4 
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 C23_549 ta1 sui1 ran2 zi4 ji3 bing4 bu4 kan4 jian4 zhuang1 le5 zen3 yang4 de5 lian3 dan4 ci3 shi2 que4 jue2 de5 hen3 ju2 cu4 zui3 chun2 wei1 wei1 yi2 dong4 you4 yao2 yi5 yao2 tou2 
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 C23_681 xian1 shui3 yan2 zhi4 fei1 ma2 zu3 yan2 chang2 da2 shi2 hua2 li3 de5 shan1 ya2 dong4 xue2 li3 you3 chun1 qiu1 zhan4 guo2 shi2 qi1 gu3 yue4 zu2 ya2 mu4 qun2 
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 C31_578 chu2 cai2 zheng4 bo1 gei3 liang3 qian1 san1 bai3 wan4 yuan2 jiao4 yu5 zi1 jin1 wai4 hai2 bo1 chu1 zhuan1 kuan3 si4 qian1 wu2 bai3 qi1 shi2 wan4 yuan2 xin1 jian4 zhong1 xiao3 xue2 
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 C31_710 yi4 qun2 qun2 de5 shan1 ya2 zi5 chao2 hai3 bian1 ben1 qu4 yi1 cha2 cha2 de5 shan1 hua1 dou1 diao1 xie4 le5 er2 ni3 de5 meng4 bu4 ken3 diao1 xie4 
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 C32_543 ji3 ge4 yue4 qian2 e2 fang1 hai2 xuan1 bu4 jian2 shao3 dui4 ha1 yuan2 you2 de5 shu1 chu1 pei4 e2 yuan2 yin1 ju4 shuo1 shi4 ha1 de5 yuan2 you2 han2 za2 zhi4 tai4 duo1 
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 C32_583 zhe4 zhi1 zai4 a1 gen1 ting2 zu2 tan2 ben3 lai2 zhan4 ji4 bu2 suan4 hen3 tu1 chu1 de5 ju4 le4 bu4 dui4 kua4 yang2 zheng1 duo2 zhou1 ji4 bei1 yin2 qi3 yu2 lun4 de5 guan1 zhu4 
 C32_590 wai4 mian4 de5 kong1 qi4 han2 leng3 er2 you4 shi1 run4 yu3 shui3 zhong1 guo3 ran2 jia1 za2 zhe5 dian2 dian3 xue3 hua1 fen1 fen1 luo4 luo4 piao1 piao5 yang2 yang5 sui2 feng1 er2 xia4 
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 C32_652 guang3 zhou1 yue4 ju4 er4 tuan2 cong2 nian2 chu1 er4 qi3 zai4 pan1 yu3 yan3 chu1 hou4 jiang1 yao4 dao4 yue4 dong1 shan1 qu1 mei2 zhou1 he2 yuan2 xian4 yi4 
 C32_667 bei3 fang1 san1 xia4 feng1 shou1 nan2 fang1 chun1 liang2 chun1 you2 xi3 xun4 pin2 chuan2 liang2 mian2 deng3 zhu3 yao4 nong2 zuo4 wu4 bo1 zhong4 mian4 ji5 pu3 bian4 zeng1 jia1 miao2 qing1 ye4 zhuang4 
 C32_678 tian1 xin1 gua4 zhe5 meng2 meng2 de5 dan4 zi3 piao1 zhe5 pian4 pian5 de5 shen1 hong2 ou3 er2 you3 yi1 si1 jin1 mang2 zheng1 zha2 zhe5 yi4 xiang4 qing1 dian4 de5 yao2 kong1 
 C32_710 yi4 qun2 qun2 de5 shan1 ya2 zi5 chao2 hai3 bian1 ben1 qu4 yi1 cha2 cha2 de5 shan1 hua1 dou1 diao1 xie4 le5 er2 ni3 de5 meng4 bu4 ken3 diao1 xie4 
 C32_713 zhe4 li3 sheng4 chan3 de5 lian2 ou3 sheng1 shi2 tian2 chao3 shi2 cui4 dun4 shi2 fen3 tong3 cu1 pi2 bao2 jie2 chang2 rou4 nen4 wei4 xian1 ying2 yang3 feng1 fu4 
 C32_742 zhe4 li3 shuo1 de5 yi4 ya2 zheng1 le5 ta1 er2 zi5 gei3 jie2 zhou4 chi1 ye3 shi4 kuang2 ren2 yu3 po1 cuo4 za2 wu2 lun2 ci4 de5 biao3 xian4 
 C32_746 shao4 ping2 suo1 zai4 yi2 ge4 xiao3 shan1 yao2 li3 tou4 guo4 yu3 lian2 kan4 jian4 hong2 shui3 yi3 kuai4 yao4 zhang3 dao4 hou2 yu4 ying1 bi4 yu3 de5 na4 ge5 shi2 ya2 xia4 le5 
 C4_515 wo3 ai4 hua1 ai4 zi4 ran2 jie4 de5 hua1 geng4 ai4 yong4 ge4 zhong3 wen2 yi4 xing2 shi4 su4 zao4 pei2 yu4 de5 sheng1 ming4 sheng1 huo2 de5 hua1 you3 yi4 de5 hua1 
 C4_520 ba1 qi2 qin1 gui4 qian1 nu4 yu2 fu2 lin2 ai4 fei1 dong3 e4 shi4 fu2 lin2 nei4 wai4 jiao1 kun4 po4 bu4 de2 yi3 yu3 qi2 zhou1 xuan2 ku3 dou4 
 C4_542 xin1 hua2 she4 ping2 rang3 yi1 yue4 shi2 si4 ri4 xiao1 xi5 ping2 rang3 di4 qu1 ri4 qian2 yan2 dong1 si4 nuan3 chun1 chu1 xian4 jin4 bai3 nian2 wei4 ceng2 you3 guo4 de5 dong1 nuan3 xian4 xiang4 
 C4_543 ji3 ge4 yue4 qian2 e2 fang1 hai2 xuan1 bu4 jian2 shao3 dui4 ha1 yuan2 you2 de5 shu1 chu1 pei4 e2 yuan2 yin1 ju4 shuo1 shi4 ha1 de5 yuan2 you2 han2 za2 zhi4 tai4 duo1 
 C4_544 hui2 dao4 jia1 huang2 niang2 niang5 de5 nai3 wa2 er5 zheng4 ku1 de5 si1 sheng1 ya3 qi4 da4 yi4 dian3 de5 yi2 ge4 wa2 er5 zai4 tang2 wu1 di4 shang4 pa2 
 C4_574 you3 xie1 yu2 min2 yin1 yan4 wu4 hai3 xing1 dao4 shi2 bei4 lei4 chi1 diao4 yu2 er3 zhuo1 zhu4 hai3 xing1 hou4 chang2 jiang1 qi2 qie1 sui4 reng1 ru4 hai3 zhong1
 C4_575 yin1 ci3 jia1 su4 nong2 cun1 zhong1 yi1 yao4 shi4 yong4 ren2 cai2 de5 pei2 yang3 shi4 jia1 qiang2 nong2 cun1 zhong1 yi1 yao4 gong1 zuo4 de5 yi2 ge4 zhan4 lve4 zhong4 dian3 
 C4_584 yin4 jia1 ren2 suo3 chuang4 zao4 de5 wen2 ming2 yu3 ma2 ya3 wen2 ming2 a1 zi1 te4 ke4 wen2 ming2 yi4 qi3 bei4 yu4 wei2 mei3 zhou1 yin4 di4 an1 san1 da4 wen2 ming2 
 C4_599 ke3 shi4 chang2 chang2 you3 ren2 gao4 su5 yao2 xian1 sheng5 shuo1 kan4 jian4 er4 xiao2 jie3 zai4 ka1 fei1 guan2 li3 he2 wang2 jun4 ye4 wo4 zhuo2 shou3 yi2 zuo4 zuo4 shang5 ji3 ge4 zhong1 tou2 
 C4_622 xing4 fu2 de5 nan2 ren5 cai2 hui4 ba3 quan2 bu4 xin1 si5 dou1 yong4 zai4 gong1 zuo4 shang4 wo3 bu4 neng2 rang4 ren2 jue2 de5 wo3 de5 hou4 yuan4 ye3 xu1 yao4 wo3 fen1 xin1 
 C4_623 you3 ren2 zhi3 chu1 dui4 zha4 pian4 xing2 wei2 ying1 gai1 yan2 li4 da3 ji1 yuan2 huo4 bu4 jin3 yao4 ru2 shu4 zhui1 hui2 hai2 ying1 zhui1 jiu1 e2 wai4 sun3 shi1 pei2 chang2 
 C4_652 guang3 zhou1 yue4 ju4 er4 tuan2 cong2 nian2 chu1 er4 qi3 zai4 pan1 yu3 yan3 chu1 hou4 jiang1 yao4 dao4 yue4 dong1 shan1 qu1 mei2 zhou1 he2 yuan2 xian4 yi4 
 C4_661 xiang4 da4 duo1 shu4 ge2 ming4 lao3 qu1 yi2 yang4 jian1 shan1 xia4 cun1 yong1 you3 zheng4 zhi4 guang1 huan2 he2 xiu4 li4 jing3 se4 ye3 yong1 you3 pin2 qiong2 
 C4_666 zhu4 ming2 yan3 yuan2 you3 cheng2 fang1 yuan2 mou2 xuan4 fu3 yuan3 zheng1 zhang1 qiang2 chen2 jun4 hua2 zi1 sha1 li4 ou1 yang2 bin1 lin2 wen2 zeng1 zhou1 wei2 deng3 
 C4_683 mei3 guo2 yi4 xie1 ji1 gou4 wang2 wang3 ji1 guan1 suan4 jin4 jie2 guo3 shi4 yue4 jiao3 yue4 hun2 yue4 mo3 yue4 hei1 zui4 hou4 chang2 chang2 sun3 ji2 zi4 shen1 
 C4_713 zhe4 li3 sheng4 chan3 de5 lian2 ou3 sheng1 shi2 tian2 chao3 shi2 cui4 dun4 shi2 fen3 tong3 cu1 pi2 bao2 jie2 chang2 rou4 nen4 wei4 xian1 ying2 yang3 feng1 fu4 
 C4_715 you3 ren2 ba3 zhe4 zhong3 zhuang4 kuang4 gai4 kuo4 wei2 jing3 yue4 da3 yue4 shen1 beng4 yue4 huan4 yue4 da4 qian2 yue4 hua1 yue4 duo1 shui3 yue4 chou1 yue4 shao3 
 C4_733 jin1 gu3 hong2 liang2 qing1 cai4 bai2 mian2 ru2 ran3 le5 ta1 de5 se4 pan2 ji1 ming2 ya1 xi4 ma3 chi2 niu2 geng1 rou2 huo2 le5 ta1 de5 hua4 bi3 
 C6_525 ai4 she4 sha2 bu4 zhi1 dao4 wai4 po2 tian1 tian1 shuo1 die1 shi4 hao3 ren2 shuo1 die1 shi4 jiao4 huai4 ren2 hai4 le5 shuo1 die1 yuan1 wang5 de5 hen3 
 C6_531 xie4 yue4 e2 da4 shi3 qing3 xie4 xin1 la1 na4 lie4 he2 hong2 sen1 zhuan3 da2 zhong1 guo2 zheng4 fu3 he2 ren2 min2 dui4 xi1 ha1 nu3 ke4 guo2 wang2 de5 shen1 qie4 xie4 yi4 
 C6_533 jiang1 lai2 hui2 xiang2 qi3 lai2 zhe4 yi1 duan4 yun2 yu3 wu1 shan1 de5 yun4 shi4 ye3 bu2 guo4 si4 yun2 tian1 xia2 ying3 kong1 liu2 can2 hong2 dian3 zhui4 xin1 tou2 ba4 le5 
 C6_545 zai4 qian2 yang2 xian4 nong2 min2 quan2 guo2 lao2 mo2 qin1 wan4 you3 de5 yuan2 yi4 chang3 kan4 dao4 si4 qian1 mu3 gan1 ju2 lin2 zai4 yan4 yang2 xia4 lv4 zhi1 yao2 ye4 xu2 bu4 zhang3 zan4 bu4 jue2 kou3 
 C6_560 ke3 shi4 tu4 chang3 de5 nong2 min2 si4 yang3 yuan2 gei3 tu4 zi5 wei4 shi2 wei4 yao4 dou1 bei4 tu4 zi5 shun4 shun5 dang1 dang1 jie1 shou4 le5 
 C6_564 zhe4 kuai4 shen2 qi2 de5 wo4 tu3 yang3 yu4 zhe5 qi1 shi5 wan4 qin2 lao2 zhi4 hui4 de5 ne4 he2 ren2 ye3 yang3 yu4 zhe5 wang2 rong2 sheng1 he2 ta1 de5 tong2 shi4 men5 
 C6_582 ting1 zhe3 cong2 zhong1 ji4 neng2 ti3 yan4 dao4 bo2 bo2 de5 shan1 ye3 hao2 qing2 you4 ke3 gan3 wu4 dao5 nuan2 nuan3 de5 chun2 zhen1 rou2 qing2 
 C6_596 ta1 men5 neng2 zuo4 wei2 ke1 yan2 de5 ti1 dui4 ding3 shang4 lai5 wo3 ye3 ke2 yi3 fang4 xin1 qu4 gan4 wo3 suo3 xi3 ai4 de5 ye3 wai4 kao3 cha2 le5 
 C6_598 zai4 han2 zuo3 cun1 kou3 bu2 jian4 wang3 ri4 shai4 tai4 yang5 lao4 ke1 de5 ren2 dui1 tui1 men2 jin4 she4 bu4 wen2 chou2 bei4 guo4 nian2 de5 chui1 yan1 fan4 xiang1 
 C6_601 ran2 er2 cang1 man3 dun4 liu2 de5 hua1 sheng1 bing4 mei2 you3 gei3 nong2 min2 dai4 lai2 duo1 shao3 xi3 yue4 shi2 xia4 wo3 xian4 yue1 you3 wu3 wan4 dun1 hua1 sheng1 ji2 dai4 wai4 xiao1 
 C6_618 yi1 jiu3 si4 yi1 nian2 shi2 yi1 yue4 shan3 gan1 ning2 bian1 qu1 gen1 ju4 san1 san1 zhi4 yuan2 ze2 ju3 xing2 can1 yi4 hui4 yi4 yuan2 jing4 xuan3 yi1 wei4 ming2 jiao4 sen1 jian4 de5 xue2 yuan2 bei4 tui1 wei2 hou4 xuan3 ren2 
 C6_644 nan2 shuo1 shi4 guo4 ke4 xin1 fu2 yi4 zao4 xing4 qing2 guai1 zhang1 zen3 nai4 shi4 ta1 xiang1 de5 shan1 geng4 qing1 cui4 liu3 geng4 nen4 lv4 shui3 geng4 gan1 tian2 
 C6_653 pu2 yang2 shi4 zheng4 jian4 she4 ri4 xin1 yue4 yi4 jie4 ding4 de5 you2 dian4 fu2 wu4 bu2 duan4 bei4 xin1 lou2 qun2 suo3 yan1 mo4 
 C6_679 te4 li4 ya3 nv3 xie2 jin4 jia4 yi4 bai3 san1 shi2 si4 yuan2 jia1 yun4 fei4 er4 yuan2 shui4 jin1 wu3 shi2 ba1 yuan2 ji2 qi2 ta1 fei4 yong5 ling2 shou4 jia4 yi4 bai3 qi1 shi2 si4 yuan2 
 C6_681 xian1 shui3 yan2 zhi4 fei1 ma2 zu3 yan2 chang2 da2 shi2 hua2 li3 de5 shan1 ya2 dong4 xue2 li3 you3 chun1 qiu1 zhan4 guo2 shi2 qi1 gu3 yue4 zu2 ya2 mu4 qun2 
 C6_682 huang2 ying3 wei2 qu1 wei4 yu2 huai2 he2 gan4 liu2 xing2 hong2 qu1 nei4 shi4 huai2 shi3 quan2 san1 tiao2 he2 liu2 he2 shang4 you2 yu4 wan3 e4 san1 sheng3 er4 shi2 ba1 xian4 de5 hong2 shui3 hui4 liu2 chu4 
 C6_707 xin1 hua2 she4 shen3 yang2 yi1 yue4 er4 shi2 san1 ri4 dian4 liao2 ning2 sheng3 shen3 yang2 shi4 wei4 jiao4 yu5 mu4 juan1 da4 xing2 yi4 yan3 huo2 dong4 yi1 yue4 er4 shi5 yi1 ri4 la1 kai1 wei2 mu4 
 C6_714 na4 shui4 ren2 ying2 ye4 e2 da2 dao4 qi3 zheng1 dian3 de5 ying1 an4 ying2 ye4 e2 quan2 e2 ji4 suan4 ying1 na4 shui4 e2 
 C6_715 you3 ren2 ba3 zhe4 zhong3 zhuang4 kuang4 gai4 kuo4 wei2 jing3 yue4 da3 yue4 shen1 beng4 yue4 huan4 yue4 da4 qian2 yue4 hua1 yue4 duo1 shui3 yue4 chou1 yue4 shao3 
 C6_735 ta1 niang2 jia5 xiong1 di4 zi3 mei4 shi2 yi2 ge4 ta1 lao3 da4 cong2 xiao3 jiu4 gei3 jiu4 jia1 zuo4 yang2 nv3 gai3 ming2 lv3 ai4 zhi4 min3 nan2 hua4 shi4 ai4 di4 
 C7_512 xie4 jin4 heng2 tong1 ying3 ye4 gong1 si1 yi3 zhong1 guo2 ben2 tu3 dian4 ying3 wei2 li4 shen1 zhi1 ben3 yi3 pai1 she4 pin3 wei2 gao1 yi4 shu4 xing4 qiang2 de5 ying3 pian4 wei2 mu4 biao1 
 C7_520 ba1 qi2 qin1 gui4 qian1 nu4 yu2 fu2 lin2 ai4 fei1 dong3 e4 shi4 fu2 lin2 nei4 wai4 jiao1 kun4 po4 bu4 de2 yi3 yu3 qi2 zhou1 xuan2 ku3 dou4 
 C7_541 kan1 tan4 biao3 ming2 ta1 shi4 guo2 nei4 shao3 you3 de5 yin2 jin1 gong4 sheng1 kuang4 pin3 wei4 gao1 yi4 cai3 yi4 xuan3 ye3 shi4 wo3 guo2 shou3 jia1 ji2 cai3 kuang4 xuan3 kuang4 ye3 lian4 wei2 yi4 ti3 de5 yin2 kuang4 
 C7_557 zai4 fu2 yuan2 liao2 kuo4 de5 nong2 cun1 jie3 jue2 le5 wen1 bao3 wen4 ti2 de5 nong2 min2 jing1 shen5 wen2 hua4 xu1 qiu2 wen4 ti2 yue4 lai2 yue4 tu1 chu1 
 C7_596 ta1 men5 neng2 zuo4 wei2 ke1 yan2 de5 ti1 dui4 ding3 shang4 lai5 wo3 ye3 ke2 yi3 fang4 xin1 qu4 gan4 wo3 suo3 xi3 ai4 de5 ye3 wai4 kao3 cha2 le5 
 C7_613 yi1 lang3 ling3 xiu4 ha1 mei2 nei4 yi1 zong2 tong3 la1 fu1 sang1 jia3 ni2 di4 yi1 fu4 zong2 tong3 ha1 bi2 bi3 deng3 dou1 ceng2 jing1 fang3 wen4 guo4 zhong1 guo2 
 C7_617 shen1 zhuo2 zang4 pao2 yin3 su1 you2 cha2 qi2 ma3 chi2 cheng3 yu2 huang1 yuan2 cheng2 wei2 xu3 duo1 hai3 wai4 you2 ke4 nan2 yi3 wang4 que4 de5 ti3 yan4 
 C7_631 dai4 ma3 jun4 ren2 wan3 jian1 li2 kai1 ji1 di4 fan3 bie2 shu4 hou4 gen1 ju4 lou2 nei4 an4 hao4 shi3 jin4 lou2 qu1 li3 ying4 wai4 he2 an4 hao4 zhao4 jiu4 
 C7_638 xiang4 gun2 xue3 qiu2 na4 yang4 yu4 gun3 yu4 da4 yu4 da4 yu4 gun3 gou4 zhu4 cheng2 le5 guang1 yao4 xian3 he4 de5 qun2 feng1 
 C7_648 chu2 ci3 zhi1 wai4 tu2 wen2 bing4 mao4 de5 beng4 beng4 qiu2 jian4 shen1 shou3 ling2 he2 he2 xin1 jia1 ting2 xiao3 lan2 qiu2 de5 duan4 lian4 fang1 fa3 bian1 dao3 gong1 zuo4 yi3 jiang1 wan2 cheng2 
 C7_662 you3 ci4 yu4 jing4 ran2 bi4 jing1 ban4 nian2 yu4 jing1 kong3 wan4 zhuang4 wo3 bu4 gan3 ken3 ding4 mo2 ca1 zhong1 mei2 you3 lou4 wang3 zhi1 yu2 ye3 huang2 huang2 bu4 ke3 zhong1 ri4 
 C7_679 te4 li4 ya3 nv3 xie2 jin4 jia4 yi4 bai3 san1 shi2 si4 yuan2 jia1 yun4 fei4 er4 yuan2 shui4 jin1 wu3 shi2 ba1 yuan2 ji2 qi2 ta1 fei4 yong5 ling2 shou4 jia4 yi4 bai3 qi1 shi2 si4 yuan2 
 C7_693 ta1 ju4 you3 bao3 liu2 ya2 gen1 jian3 chu2 ba2 ya2 tong4 ku3 jia1 qiang2 ya2 gen1 gong1 neng2 yi3 ji2 shi3 yi4 chi3 wen3 ding4 bu2 yi4 tuo1 wei4 deng3 you1 dian3 
 C7_700 ai4 da2 ha1 xi3 leng2 wu3 su2 cheng1 ye3 zhu1 wu3 shi4 e4 wen1 ke4 ren2 zui4 yuan2 shi3 zui4 gu2 lao3 de5 yi1 zhong3 nan2 xing4 ji2 ti3 wu3 
 C7_701 wang2 po2 kan4 yi5 kan4 ri4 wu3 le5 hai2 yao4 gan3 hui2 qu4 shao1 wu3 fan4 dan4 ren4 ta1 zen3 yang4 la1 jiang1 sheng2 ma3 reng2 shi4 mei2 you3 yi2 dong4 
 C7_702 meng4 jun4 xiu1 zhang1 zuo4 kai3 wang2 xue2 wen2 xu3 pin3 fu2 sun1 yu3 bo2 zhu4 ming2 jing4 xu2 ren2 kuan1 pu2 chong2 wu3 
 C7_704 zou3 wan2 su1 di1 zhi1 hou4 yi4 you2 wei4 jin4 zai4 lou2 wai4 lou2 chi1 guo4 xi1 hu2 cu4 yu2 deng3 jia1 yao2 zhi1 hou4 you4 ta4 shang4 le5 bai2 di1 
 C7_711 jiao4 wu4 zhang3 chu1 wai4 xuan1 gao4 bu2 kao3 jue2 yi4 hou4 bi3 deng3 yong1 jin4 zou3 lang2 yu4 ru4 shi4 zhong1 jiao4 shou4 hui4 xuan2 ji2 jue2 ding4 zong3 ci2 zhi2 
 C7_747 dang1 wo3 bing4 yu4 qu4 yi1 yuan4 kan4 wang4 nin2 shi2 nin2 zhe4 ge5 nian2 zhang2 zhe3 que4 tang3 zai4 bing4 chuang2 shang5 jin2 jin3 la1 zhe5 wo3 de5 shou3 yin1 yin1 zhu3 wo3 bao3 zhong4 
 C8_513 di4 yi1 pi1 shou1 ji2 de5 you3 xiang3 yu4 sheng3 gang3 ao4 he2 dong1 nan2 ya4 de5 ou1 yang2 shan1 chen2 can2 yun2 qin2 mu4 du4 ai1 huang2 qiu1 yun2 deng3 wu3 ren2 
 C8_517 ta1 ceng2 wei4 huo3 yao4 cang1 ku4 yan2 jiu1 bi4 lei2 zhuang1 zhi4 wei4 guo2 jia1 zao4 bi4 chang3 yan2 jiu1 jian2 shao3 jin1 bi4 mo2 sun3 xiao1 hao4 de5 ban4 fa3 
 C8_527 yi2 lu4 sheng1 jiang4 wan1 yan2 ru2 xing2 luan4 yun2 die2 lang4 zhi1 zhong1 na4 jiu3 shi5 qi1 mi3 gao1 de5 hua2 yan2 pu4 bu4 geng4 si4 chuan1 xue2 yu2 cui4 cong2 de5 yu4 lian4 
 C8_537 dang1 si1 xiang3 po1 wei2 kai1 fang4 de5 zhong1 nian2 cun1 zhang3 wang2 you3 shuang1 ling3 wo3 lai2 dao4 wang2 jun1 xia2 jia1 de5 shi2 hou5 wo3 zheng1 le5 yi2 xia4 
 C8_548 zai4 shi4 chang3 pi2 ruan3 de5 qing2 kuang4 xia4 zhe4 ge5 cheng2 ji4 lai2 zhi1 bu2 yi4 a5 shuo1 qi3 lai2 yu3 gai1 chang3 chi4 hei1 yue1 ri4 chang2 zhang3 de5 da4 peng2 che1 you3 guan1 
 C8_559 yao4 zhi1 dao4 ji2 xing4 xin1 ji1 geng3 se4 shi4 bi4 xu1 zhu4 yuan4 zhi4 liao2 de5 dao4 yi1 yuan4 yue4 zao3 yue4 hao3 yue4 wan3 si3 wang2 lv4 yue4 gao1 
 C8_569 ke3 shi4 xiang4 ta1 zhe4 yang4 de5 yi2 ge4 shu1 dai1 zi5 tu1 ran2 rang4 ta1 qu4 dong1 ben1 xi1 pao3 qiu2 ye2 ye5 gao4 nai3 nai5 zhen1 shi4 gou4 nan2 wei4 ta1 de5 le5 
 C8_594 tong1 pian1 yang2 yi4 zhe5 ai4 guo2 jia1 ai4 ji2 ti3 ai4 she4 hui4 ai4 ta1 ren2 de5 zhi4 pu3 zhi4 cheng2 gao1 yang2 zhe5 jing1 shen2 wen2 ming2 de5 zhu3 xuan2 lv4 
 C8_624 ru2 jin1 zai4 er2 hai3 hu2 mian4 shang5 san1 qian1 duo1 sou1 yun4 shu1 chuan2 bu3 lao1 chuan2 nong2 yong4 he2 yang3 yu2 chuan2 ri4 ye4 chuan1 suo1 mang2 lu4 
 C8_628 zhe4 yang4 de5 xiu1 yang3 de5 yan3 yuan2 ji2 shi3 zheng4 zou3 hong2 ye3 bu2 guo4 ru2 guo4 yan3 yun2 yan1 er2 yi3 cheng2 bu5 liao3 zhen1 zheng4 yi4 yi4 shang4 de5 yi4 shu4 jia1 
 C8_644 nan2 shuo1 shi4 guo4 ke4 xin1 fu2 yi4 zao4 xing4 qing2 guai1 zhang1 zen3 nai4 shi4 ta1 xiang1 de5 shan1 geng4 qing1 cui4 liu3 geng4 nen4 lv4 shui3 geng4 gan1 tian2 
 C8_655 wei4 jin1 nian2 yang1 tian2 chu2 bai4 you3 shen2 me5 hao3 yao4 yi1 wei4 ye4 xia4 jia2 gen1 yan1 tong5 gan3 de5 lao3 nong2 qiang3 xian1 wen4 dao4 
 C8_657 qu4 nian2 ba1 yue4 ba1 ri4 yi4 qun2 chu1 zhong1 xue2 sheng1 zai4 gai1 zhou1 heng1 de2 sen1 xian4 you2 wan2 shi2 zhua1 zhu4 er4 shi2 er4 zhi3 qing1 wa1 qi2 zhong1 shi2 yi4 zhi1 hou4 tui3 yan2 zhong4 ji1 xing2 
 C8_672 zui4 hou4 an4 zhuan1 ye4 zu3 ye4 yu2 qing1 nian2 zu3 ye4 yu2 zhong1 lao3 nian2 zu3 fen1 bie2 chan3 sheng1 guan4 jun1 san1 ren2 ya4 jun1 liu4 ren2 ji4 jun1 jiu3 ren2 
 C8_684 dan4 you3 yi2 ge4 qiao2 dun1 wai4 biao3 guang1 jie2 du4 bu2 gou4 ying2 xiang3 qiao2 liang2 wai4 guan1 you3 ren2 ren4 wei2 zhe4 yi1 xiao3 ci1 dian3 wu2 ai4 zhi4 liang4 bu2 bi4 fan3 gong1 
 C8_697 lin2 ye4 bu4 men2 zai4 ying2 lin2 zao4 lin2 gong1 zuo4 zhong1 bu2 wang4 shui2 bao3 yan2 jin4 quan2 ken3 lian4 shan1 yao1 qiu2 gai3 quan2 ken3 wei2 tiao2 ken3 zheng3 di4 
 C8_747 dang1 wo3 bing4 yu4 qu4 yi1 yuan4 kan4 wang4 nin2 shi2 nin2 zhe4 ge5 nian2 zhang2 zhe3 que4 tang3 zai4 bing4 chuang2 shang5 jin2 jin3 la1 zhe5 wo3 de5 shou3 yin1 yin1 zhu3 wo3 bao3 zhong4 
--- a/datalist/thchs30/cv.wav.lst
+++ b/datalist/thchs30/cv.wav.lst
@ -0,0 +1,893 @@
 A11_101 data_thchs30/dev/A11_101.wav
 A11_119 data_thchs30/dev/A11_119.wav
 A11_124 data_thchs30/dev/A11_124.wav
 A11_132 data_thchs30/dev/A11_132.wav
 A11_170 data_thchs30/dev/A11_170.wav
 A11_173 data_thchs30/dev/A11_173.wav
 A11_180 data_thchs30/dev/A11_180.wav
 A11_189 data_thchs30/dev/A11_189.wav
 A11_191 data_thchs30/dev/A11_191.wav
 A11_203 data_thchs30/dev/A11_203.wav
 A11_230 data_thchs30/dev/A11_230.wav
 A11_24 data_thchs30/dev/A11_24.wav
 A11_39 data_thchs30/dev/A11_39.wav
 A11_51 data_thchs30/dev/A11_51.wav
 A11_56 data_thchs30/dev/A11_56.wav
 A11_60 data_thchs30/dev/A11_60.wav
 A11_77 data_thchs30/dev/A11_77.wav
 A11_81 data_thchs30/dev/A11_81.wav
 A12_10 data_thchs30/dev/A12_10.wav
 A12_115 data_thchs30/dev/A12_115.wav
 A12_137 data_thchs30/dev/A12_137.wav
 A12_138 data_thchs30/dev/A12_138.wav
 A12_18 data_thchs30/dev/A12_18.wav
 A12_28 data_thchs30/dev/A12_28.wav
 A12_38 data_thchs30/dev/A12_38.wav
 A12_98 data_thchs30/dev/A12_98.wav
 A13_126 data_thchs30/dev/A13_126.wav
 A13_160 data_thchs30/dev/A13_160.wav
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--- a/datalist/thchs30/test.syllable.txt
+++ b/datalist/thchs30/test.syllable.txt
--- a/datalist/thchs30/test.wav.lst
+++ b/datalist/thchs30/test.wav.lst
--- a/datalist/thchs30/train.syllable.txt
+++ b/datalist/thchs30/train.syllable.txt
--- a/datalist/thchs30/train.wav.lst
+++ b/datalist/thchs30/train.wav.lst
--- a/dict.txt
+++ b/dict.txt
--- a/download_default_datalist.py
+++ b/download_default_datalist.py
@ -0,0 +1,99 @@
 # !/usr/bin/env python3
 # -*- coding: utf-8 -*-
 #
 # Copyright 2016-2099 Ailemon.net
 #
 # This file is part of ASRT Speech Recognition Tool.
 #
 # ASRT is free software: you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
 # the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 # ASRT is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU General Public License for more details.
 #
 # You should have received a copy of the GNU General Public License
 # along with ASRT.  If not, see <https://www.gnu.org/licenses/>.
 # ============================================================================
 """
@author: nl8590687
 用于下载ASRT语音识别系统声学模型训练默认用的数据集列表程序
 """
 import os
 import logging
 import json
 import requests
 logging.basicConfig(
    format='%(asctime)s - %(pathname)s[line:%(lineno)d] - %(levelname)s: %(message)s',
    level=logging.INFO)
 DEFAULT_DATALIST_PATH = 'datalist/'
 if not os.path.exists(DEFAULT_DATALIST_PATH):
    os.makedirs(DEFAULT_DATALIST_PATH)
 URL_DATALIST_INDEX = "https://d.ailemon.net/asrt_assets/datalist/index.json"
 rsp_index = requests.get(URL_DATALIST_INDEX)
 rsp_index.encoding = 'utf-8'
 if rsp_index.ok:
    logging.info('Has connected to ailemon\'s download server...')
 else:
    logging.error('%s%s', 'Can not connected to ailemon\'s download server.',
                  'please check your network connection.')
 index_json = json.loads(rsp_index.text)
 if index_json['status_code'] != 200:
    raise Exception(index_json['status_message'])
 body = index_json['body']
 logging.info('start to download datalist from ailemon\'s download server...')
 url_prefix = body['url_prefix']
 for i in range(len(body['datalist'])):
    print(i, body['datalist'][i]['name'])
 print(len(body['datalist']), 'all datalist')
 num = input('Please choose which you select: (default all)')
 if len(num) == 0:
    num = len(body['datalist'])
 else:
    num = int(num)
 def deal_download(datalist_item, url_prefix_str, datalist_path):
    """
    to deal datalist file download
    """
    logging.info('%s%s', 'start to download datalist ', datalist_item['name'])
    save_path = os.path.join(datalist_path, datalist_item['name'])
    if not os.path.exists(save_path):
        os.makedirs(save_path)
        logging.info('%s`%s`', 'Created directory ', save_path)
    for filename in datalist_item['filelist']:
        tmp_url = url_prefix_str + datalist_item['name'] + '/' + filename
        save_filename = os.path.join(save_path, filename)
        rsp_listfile = requests.get(tmp_url)
        with open(save_filename, "wb") as file_pointer:
            file_pointer.write(rsp_listfile.content)
        if rsp_listfile.ok:
            logging.info('%s `%s` %s', 'Download', filename, 'complete')
        else:
            logging.error('%s%s%s%s%s', 'Can not download ', filename,
                          ' from ailemon\'s download server. ',
                          'http status ok is ', str(rsp_listfile.ok))
 if num == len(body['datalist']):
    for i in range(len(body['datalist'])):
        deal_download(body['datalist'][i], body['url_prefix'], DEFAULT_DATALIST_PATH)
 else:
    deal_download(body['datalist'][num], body['url_prefix'], DEFAULT_DATALIST_PATH)
 logging.info('%s%s%s', 'Datalist files download complete. ',
             'Please remember to download these datasets from ',
             body['dataset_download_page_url'])
--- a/evaluate_speech_model.py
+++ b/evaluate_speech_model.py
@ -0,0 +1,50 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 #
 # Copyright 2016-2099 Ailemon.net
 #
 # This file is part of ASRT Speech Recognition Tool.
 #
 # ASRT is free software: you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
 # the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 # ASRT is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU General Public License for more details.
 #
 # You should have received a copy of the GNU General Public License
 # along with ASRT.  If not, see <https://www.gnu.org/licenses/>.
 # ============================================================================
 """
@author: nl8590687
 用于测试语音识别系统语音模型的程序
 """
 import os
 from speech_model import ModelSpeech
 from model_zoo.speech_model.keras_backend import SpeechModel251BN
 from data_loader import DataLoader
 from speech_features import Spectrogram
 os.environ["CUDA_VISIBLE_DEVICES"] = "0"
 AUDIO_LENGTH = 1600
 AUDIO_FEATURE_LENGTH = 200
 CHANNELS = 1
 # 默认输出的拼音的表示大小是1428，即1427个拼音+1个空白块
 OUTPUT_SIZE = 1428
 sm251bn = SpeechModel251BN(
    input_shape=(AUDIO_LENGTH, AUDIO_FEATURE_LENGTH, CHANNELS),
    output_size=OUTPUT_SIZE
 )
 feat = Spectrogram()
 evalue_data = DataLoader('dev')
 ms = ModelSpeech(sm251bn, feat, max_label_length=64)
 ms.load_model('save_models/' + sm251bn.get_model_name() + '.model.h5')
 ms.evaluate_model(data_loader=evalue_data, data_count=-1,
                  out_report=True, show_ratio=True, show_per_step=100)
--- a/language_model3.py
+++ b/language_model3.py
@ -0,0 +1,123 @@
 # !/usr/bin/env python3
 # -*- coding: utf-8 -*-
 #
 # Copyright 2016-2099 Ailemon.net
 #
 # This file is part of ASRT Speech Recognition Tool.
 #
 # ASRT is free software: you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
 # the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 # ASRT is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU General Public License for more details.
 #
 # You should have received a copy of the GNU General Public License
 # along with ASRT.  If not, see <https://www.gnu.org/licenses/>.
 # ============================================================================
 """
@author: nl8590687
 ASRT语音识别的语言模型
 基于N-Gram的语言模型
 """
 import os
 from utils.ops import get_symbol_dict, get_language_model
 class ModelLanguage:
    """
    ASRT专用N-Gram语言模型
    """
    def __init__(self, model_path: str):
        self.model_path = model_path
        self.dict_pinyin = dict()
        self.model1 = dict()
        self.model2 = dict()
    def load_model(self):
        """
        加载N-Gram语言模型到内存
        """
        self.dict_pinyin = get_symbol_dict('dict.txt')
        self.model1 = get_language_model(os.path.join(self.model_path, 'language_model1.txt'))
        self.model2 = get_language_model(os.path.join(self.model_path, 'language_model2.txt'))
        model = (self.dict_pinyin, self.model1, self.model2)
        return model
    def pinyin_to_text(self, list_pinyin: list, beam_size: int = 100) -> str:
        """
        拼音转文本，一次性取得全部结果
        """
        result = list()
        tmp_result_last = list()
        for item_pinyin in list_pinyin:
            tmp_result = self.pinyin_stream_decode(tmp_result_last, item_pinyin, beam_size)
            if len(tmp_result) == 0 and len(tmp_result_last) > 0:
                result.append(tmp_result_last[0][0])
                tmp_result = self.pinyin_stream_decode([], item_pinyin, beam_size)
                if len(tmp_result) > 0:
                    result.append(tmp_result[0][0])
                tmp_result = []
            tmp_result_last = tmp_result
        if len(tmp_result_last) > 0:
            result.append(tmp_result_last[0][0])
        return ''.join(result)
    def pinyin_stream_decode(self, temple_result: list,
                             item_pinyin: str,
                             beam_size: int = 100) -> list:
        """
        拼音流式解码，逐字转换，每次返回中间结果
        """
        # 如果这个拼音不在汉语拼音字典里的话，直接返回空列表，不做decode
        if item_pinyin not in self.dict_pinyin:
            return []
        # 获取拼音下属的字的列表，cur_words包含了该拼音对应的所有的字
        cur_words = self.dict_pinyin[item_pinyin]
        # 第一个字做初始处理
        if len(temple_result) == 0:
            lst_result = list()
            for word in cur_words:
                # 添加该字到可能的句子列表，设置初始概率为1.0
                lst_result.append([word, 1.0])
            return lst_result
        # 开始处理已经至少有一个字的中间结果情况
        new_result = list()
        for sequence in temple_result:
            for cur_word in cur_words:
                # 得到2-gram的汉字子序列
                tuple2_word = sequence[0][-1] + cur_word
                if tuple2_word not in self.model2:
                    # 如果2-gram子序列不存在
                    continue
                # 计算状态转移概率
                prob_origin = sequence[1]  # 原始概率
                count_two_word = float(self.model2[tuple2_word])  # 二字频数
                count_one_word = float(self.model1[tuple2_word[-2]])  # 单字频数
                cur_probility = prob_origin * count_two_word / count_one_word
                new_result.append([sequence[0] + cur_word, cur_probility])
        new_result = sorted(new_result, key=lambda x: x[1], reverse=True)
        if len(new_result) > beam_size:
            return new_result[0:beam_size]
        return new_result
 if __name__ == '__main__':
    ml = ModelLanguage('model_language')
    ml.load_model()
    _str_pinyin = ['zhe4', 'zhen1', 'shi4', 'ji2', 'hao3', 'de5']
    _RESULT = ml.pinyin_to_text(_str_pinyin)
    print('语音转文字结果:\n', _RESULT)
--- a/model_language/language_model1.txt
+++ b/model_language/language_model1.txt
--- a/model_language/language_model2.txt
+++ b/model_language/language_model2.txt
--- a/model_zoo/speech_model/keras_backend.py
+++ b/model_zoo/speech_model/keras_backend.py
@ -0,0 +1,509 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 #
 # Copyright 2016-2099 Ailemon.net
 #
 # This file is part of ASRT Speech Recognition Tool.
 #
 # ASRT is free software: you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
 # the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 # ASRT is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU General Public License for more details.
 #
 # You should have received a copy of the GNU General Public License
 # along with ASRT.  If not, see <https://www.gnu.org/licenses/>.
 # ============================================================================
 """
@author: nl8590687
 若干声学模型模型的定义
 """
 import tensorflow as tf
 from tensorflow.keras.models import Model
 from tensorflow.keras.layers import Dense, Dropout, Input, Reshape, BatchNormalization
 from tensorflow.keras.layers import Lambda, Activation, Conv2D, MaxPooling2D
 from tensorflow.keras import backend as K
 import numpy as np
 from utils.ops import ctc_decode_delete_tail_blank
 class BaseModel:
    """
    定义声学模型类型的接口基类
    """
    def __init__(self):
        self.input_shape = None
        self.output_shape = None
        self.model = None
        self.model_base = None
        self._model_name = None
    def get_model(self) -> tuple:
        return self.model, self.model_base
    def get_train_model(self) -> Model:
        return self.model
    def get_eval_model(self) -> Model:
        return self.model_base
    def summary(self) -> None:
        self.model.summary()
    def get_model_name(self) -> str:
        return self._model_name
    def load_weights(self, filename: str) -> None:
        self.model.load_weights(filename)
    def save_weights(self, filename: str) -> None:
        self.model.save_weights(filename + '.model.h5')
        self.model_base.save_weights(filename + '.model.base.h5')
        f = open('epoch_'+self._model_name+'.txt', 'w')
        f.write(filename)
        f.close()
    def get_loss_function(self):
        raise Exception("method not implemented")
    def forward(self, x):
        raise Exception("method not implemented")
 def ctc_lambda_func(args):
    y_pred, labels, input_length, label_length = args
    y_pred = y_pred[:, :, :]
    return K.ctc_batch_cost(labels, y_pred, input_length, label_length)
 class SpeechModel251BN(BaseModel):
    """
    定义CNN+CTC模型，使用函数式模型
    输入层：200维的特征值序列，一条语音数据的最大长度设为1600（大约16s）\\
    隐藏层：卷积池化层，卷积核大小为3x3，池化窗口大小为2 \\
    隐藏层：全连接层 \\
    输出层：全连接层，神经元数量为self.MS_OUTPUT_SIZE，使用softmax作为激活函数， \\
    CTC层：使用CTC的loss作为损失函数，实现连接性时序多输出
    参数： \\
        input_shape: tuple，默认值(1600, 200, 1) \\
        output_shape: tuple，默认值(200, 1428)
    """
    def __init__(self, input_shape: tuple = (1600, 200, 1), output_size: int = 1428) -> None:
        super().__init__()
        self.input_shape = input_shape
        self._pool_size = 8
        self.output_shape = (input_shape[0] // self._pool_size, output_size)
        self._model_name = 'SpeechModel251bn'
        self.model, self.model_base = self._define_model(self.input_shape, self.output_shape[1])
    def _define_model(self, input_shape, output_size) -> tuple:
        label_max_string_length = 64
        input_data = Input(name='the_input', shape=input_shape)
        layer_h = Conv2D(32, (3, 3), use_bias=True, padding='same', kernel_initializer='he_normal', name='Conv0')(input_data)  # 卷积层
        layer_h = BatchNormalization(epsilon=0.0002, name='BN0')(layer_h)
        layer_h = Activation('relu', name='Act0')(layer_h)
        layer_h = Conv2D(32, (3,3), use_bias=True, padding='same', kernel_initializer='he_normal', name='Conv1')(layer_h)  # 卷积层
        layer_h = BatchNormalization(epsilon=0.0002, name='BN1')(layer_h)
        layer_h = Activation('relu', name='Act1')(layer_h)
        layer_h = MaxPooling2D(pool_size=2, strides=None, padding="valid")(layer_h) # 池化层
        layer_h = Conv2D(64, (3,3), use_bias=True, padding='same', kernel_initializer='he_normal', name='Conv2')(layer_h)  # 卷积层
        layer_h = BatchNormalization(epsilon=0.0002, name='BN2')(layer_h)
        layer_h = Activation('relu', name='Act2')(layer_h)
        layer_h = Conv2D(64, (3,3), use_bias=True, padding='same', kernel_initializer='he_normal', name='Conv3')(layer_h)  # 卷积层
        layer_h = BatchNormalization(epsilon=0.0002, name='BN3')(layer_h)
        layer_h = Activation('relu', name='Act3')(layer_h)
        layer_h = MaxPooling2D(pool_size=2, strides=None, padding="valid")(layer_h) # 池化层
        layer_h = Conv2D(128, (3,3), use_bias=True, padding='same', kernel_initializer='he_normal', name='Conv4')(layer_h)  # 卷积层
        layer_h = BatchNormalization(epsilon=0.0002, name='BN4')(layer_h)
        layer_h = Activation('relu', name='Act4')(layer_h)
        layer_h = Conv2D(128, (3,3), use_bias=True, padding='same', kernel_initializer='he_normal', name='Conv5')(layer_h)  # 卷积层
        layer_h = BatchNormalization(epsilon=0.0002, name='BN5')(layer_h)
        layer_h = Activation('relu', name='Act5')(layer_h)
        layer_h = MaxPooling2D(pool_size=2, strides=None, padding="valid")(layer_h) # 池化层
        layer_h = Conv2D(128, (3,3), use_bias=True, padding='same', kernel_initializer='he_normal', name='Conv6')(layer_h)  # 卷积层
        layer_h = BatchNormalization(epsilon=0.0002, name='BN6')(layer_h)
        layer_h = Activation('relu', name='Act6')(layer_h)
        layer_h = Conv2D(128, (3,3), use_bias=True, padding='same', kernel_initializer='he_normal', name='Conv7')(layer_h)  # 卷积层
        layer_h = BatchNormalization(epsilon=0.0002, name='BN7')(layer_h)
        layer_h = Activation('relu', name='Act7')(layer_h)
        layer_h = MaxPooling2D(pool_size=1, strides=None, padding="valid")(layer_h) # 池化层
        layer_h = Conv2D(128, (3,3), use_bias=True, padding='same', kernel_initializer='he_normal', name='Conv8')(layer_h)  # 卷积层
        layer_h = BatchNormalization(epsilon=0.0002, name='BN8')(layer_h)
        layer_h = Activation('relu', name='Act8')(layer_h)
        layer_h = Conv2D(128, (3,3), use_bias=True, padding='same', kernel_initializer='he_normal', name='Conv9')(layer_h)  # 卷积层
        layer_h = BatchNormalization(epsilon=0.0002, name='BN9')(layer_h)
        layer_h = Activation('relu', name='Act9')(layer_h)
        layer_h = MaxPooling2D(pool_size=1, strides=None, padding="valid")(layer_h) # 池化层
        # test=Model(inputs = input_data, outputs = layer_h12)
        # test.summary()
        layer_h = Reshape((self.output_shape[0], input_shape[1] // self._pool_size * 128), name='Reshape0')(layer_h)  # Reshape层
        layer_h = Dense(128, activation="relu", use_bias=True, kernel_initializer='he_normal', name='Dense0')(layer_h)  # 全连接层
        layer_h = Dense(output_size, use_bias=True, kernel_initializer='he_normal', name='Dense1')(layer_h) # 全连接层
        y_pred = Activation('softmax', name='Activation0')(layer_h)
        model_base = Model(inputs = input_data, outputs = y_pred)
        # model_data.summary()
        labels = Input(name='the_labels', shape=[label_max_string_length], dtype='float32')
        input_length = Input(name='input_length', shape=[1], dtype='int64')
        label_length = Input(name='label_length', shape=[1], dtype='int64')
        # Keras doesn't currently support loss funcs with extra parameters
        # so CTC loss is implemented in a lambda layer
        loss_out = Lambda(ctc_lambda_func, output_shape=(1,), name='ctc')([y_pred, labels, input_length, label_length])
        model = Model(inputs=[input_data, labels, input_length, label_length], outputs=loss_out)
        return model, model_base
    def get_loss_function(self) -> dict:
        return {'ctc': lambda y_true, y_pred: y_pred}
    def forward(self, data_input):
        batch_size = 1 
        in_len = np.zeros((batch_size,), dtype=np.int32)
        in_len[0] = self.output_shape[0]
        x_in = np.zeros((batch_size,) + self.input_shape, dtype=np.float64)
        for i in range(batch_size):
            x_in[i, 0:len(data_input)] = data_input
        base_pred = self.model_base.predict(x=x_in)
        r = K.ctc_decode(base_pred, in_len, greedy=True, beam_width=100, top_paths=1)
        if tf.__version__[0:2] == '1.':
            r1 = r[0][0].eval(session=tf.compat.v1.Session())
        else:
            r1 = r[0][0].numpy()
        speech_result = ctc_decode_delete_tail_blank(r1[0])
        return speech_result
 class SpeechModel251(BaseModel):
    """
    定义CNN+CTC模型，使用函数式模型
    输入层：200维的特征值序列，一条语音数据的最大长度设为1600（大约16s）\\
    隐藏层：卷积池化层，卷积核大小为3x3，池化窗口大小为2 \\
    隐藏层：全连接层 \\
    输出层：全连接层，神经元数量为self.MS_OUTPUT_SIZE，使用softmax作为激活函数， \\
    CTC层：使用CTC的loss作为损失函数，实现连接性时序多输出
    参数： \\
        input_shape: tuple，默认值(1600, 200, 1) \\
        output_shape: tuple，默认值(200, 1428)
    """
    def __init__(self, input_shape: tuple = (1600, 200, 1), output_size: int = 1428) -> None:
        super().__init__()
        self.input_shape = input_shape
        self._pool_size = 8
        self.output_shape = (input_shape[0] // self._pool_size, output_size)
        self._model_name = 'SpeechModel251'
        self.model, self.model_base = self._define_model(self.input_shape, self.output_shape[1])
    def _define_model(self, input_shape, output_size) -> tuple:
        label_max_string_length = 64
        input_data = Input(name='the_input', shape=input_shape)
        layer_h1 = Conv2D(32, (3,3), use_bias=False, activation='relu', padding='same', kernel_initializer='he_normal')(input_data)  # 卷积层
        layer_h1 = Dropout(0.05)(layer_h1)
        layer_h2 = Conv2D(32, (3,3), use_bias=True, activation='relu', padding='same', kernel_initializer='he_normal')(layer_h1)  # 卷积层
        layer_h3 = MaxPooling2D(pool_size=2, strides=None, padding="valid")(layer_h2)  # 池化层
        layer_h3 = Dropout(0.05)(layer_h3)  # 随机中断部分神经网络连接，防止过拟合
        layer_h4 = Conv2D(64, (3,3), use_bias=True, activation='relu', padding='same', kernel_initializer='he_normal')(layer_h3)  # 卷积层
        layer_h4 = Dropout(0.1)(layer_h4)
        layer_h5 = Conv2D(64, (3,3), use_bias=True, activation='relu', padding='same', kernel_initializer='he_normal')(layer_h4)  # 卷积层
        layer_h6 = MaxPooling2D(pool_size=2, strides=None, padding="valid")(layer_h5) # 池化层
        layer_h6 = Dropout(0.1)(layer_h6)
        layer_h7 = Conv2D(128, (3,3), use_bias=True, activation='relu', padding='same', kernel_initializer='he_normal')(layer_h6)  # 卷积层
        layer_h7 = Dropout(0.15)(layer_h7)
        layer_h8 = Conv2D(128, (3,3), use_bias=True, activation='relu', padding='same', kernel_initializer='he_normal')(layer_h7)  # 卷积层
        layer_h9 = MaxPooling2D(pool_size=2, strides=None, padding="valid")(layer_h8) # 池化层
        layer_h9 = Dropout(0.15)(layer_h9)
        layer_h10 = Conv2D(128, (3,3), use_bias=True, activation='relu', padding='same', kernel_initializer='he_normal')(layer_h9)  # 卷积层
        layer_h10 = Dropout(0.2)(layer_h10)
        layer_h11 = Conv2D(128, (3,3), use_bias=True, activation='relu', padding='same', kernel_initializer='he_normal')(layer_h10)  # 卷积层
        layer_h12 = MaxPooling2D(pool_size=1, strides=None, padding="valid")(layer_h11) # 池化层
        layer_h12 = Dropout(0.2)(layer_h12)
        layer_h13 = Conv2D(128, (3,3), use_bias=True, activation='relu', padding='same', kernel_initializer='he_normal')(layer_h12)  # 卷积层
        layer_h13 = Dropout(0.2)(layer_h13)
        layer_h14 = Conv2D(128, (3,3), use_bias=True, activation='relu', padding='same', kernel_initializer='he_normal')(layer_h13)  # 卷积层
        layer_h15 = MaxPooling2D(pool_size=1, strides=None, padding="valid")(layer_h14) # 池化层
        # test=Model(inputs = input_data, outputs = layer_h12)
        # test.summary()
        layer_h16 = Reshape((self.output_shape[0], input_shape[1] // self._pool_size * 128))(layer_h15)  # Reshape层
        layer_h16 = Dropout(0.3)(layer_h16)  # 随机中断部分神经网络连接，防止过拟合
        layer_h17 = Dense(128, activation="relu", use_bias=True, kernel_initializer='he_normal')(layer_h16)  # 全连接层
        layer_h17 = Dropout(0.3)(layer_h17)
        layer_h18 = Dense(output_size, use_bias=True, kernel_initializer='he_normal')(layer_h17)  # 全连接层
        y_pred = Activation('softmax', name='Activation0')(layer_h18)
        model_base = Model(inputs=input_data, outputs=y_pred)
        # model_data.summary()
        labels = Input(name='the_labels', shape=[label_max_string_length], dtype='float32')
        input_length = Input(name='input_length', shape=[1], dtype='int64')
        label_length = Input(name='label_length', shape=[1], dtype='int64')
        # Keras doesn't currently support loss funcs with extra parameters
        # so CTC loss is implemented in a lambda layer
        loss_out = Lambda(ctc_lambda_func, output_shape=(1,), name='ctc')([y_pred, labels, input_length, label_length])
        model = Model(inputs=[input_data, labels, input_length, label_length], outputs=loss_out)
        return model, model_base
    def get_loss_function(self) -> dict:
        return {'ctc': lambda y_true, y_pred: y_pred}
    def forward(self, data_input):
        batch_size = 1 
        in_len = np.zeros((batch_size,), dtype=np.int32)
        in_len[0] = self.output_shape[0]
        x_in = np.zeros((batch_size,) + self.input_shape, dtype=np.float64)
        for i in range(batch_size):
            x_in[i, 0:len(data_input)] = data_input
        base_pred = self.model_base.predict(x = x_in)
        r = K.ctc_decode(base_pred, in_len, greedy=True, beam_width=100, top_paths=1)
        if tf.__version__[0:2] == '1.':
            r1 = r[0][0].eval(session=tf.compat.v1.Session())
        else:
            r1 = r[0][0].numpy()
        speech_result = ctc_decode_delete_tail_blank(r1[0])
        return speech_result
 class SpeechModel25(BaseModel):
    """
    定义CNN+CTC模型，使用函数式模型
    输入层：200维的特征值序列，一条语音数据的最大长度设为1600（大约16s）\\
    隐藏层：卷积池化层，卷积核大小为3x3，池化窗口大小为2 \\
    隐藏层：全连接层 \\
    输出层：全连接层，神经元数量为self.MS_OUTPUT_SIZE，使用softmax作为激活函数， \\
    CTC层：使用CTC的loss作为损失函数，实现连接性时序多输出
    参数： \\
        input_shape: tuple，默认值(1600, 200, 1) \\
        output_shape: tuple，默认值(200, 1428)
    """
    def __init__(self, input_shape: tuple = (1600, 200, 1), output_size: int = 1428) -> None:
        super().__init__()
        self.input_shape = input_shape
        self._pool_size = 8
        self.output_shape = (input_shape[0] // self._pool_size, output_size)
        self._model_name = 'SpeechModel25'
        self.model, self.model_base = self._define_model(self.input_shape, self.output_shape[1])
    def _define_model(self, input_shape, output_size) -> tuple:
        label_max_string_length = 64
        input_data = Input(name='the_input', shape=input_shape)
        layer_h1 = Conv2D(32, (3, 3), use_bias=False, activation='relu', padding='same', kernel_initializer='he_normal')(input_data)  # 卷积层
        layer_h1 = Dropout(0.05)(layer_h1)
        layer_h2 = Conv2D(32, (3, 3), use_bias=True, activation='relu', padding='same', kernel_initializer='he_normal')(layer_h1)  # 卷积层
        layer_h3 = MaxPooling2D(pool_size=2, strides=None, padding="valid")(layer_h2)  # 池化层
        layer_h3 = Dropout(0.05)(layer_h3)  # 随机中断部分神经网络连接，防止过拟合
        layer_h4 = Conv2D(64, (3, 3), use_bias=True, activation='relu', padding='same', kernel_initializer='he_normal')(layer_h3)  # 卷积层
        layer_h4 = Dropout(0.1)(layer_h4)
        layer_h5 = Conv2D(64, (3, 3), use_bias=True, activation='relu', padding='same', kernel_initializer='he_normal')(layer_h4)  # 卷积层
        layer_h6 = MaxPooling2D(pool_size=2, strides=None, padding="valid")(layer_h5) # 池化层
        layer_h6 = Dropout(0.1)(layer_h6)
        layer_h7 = Conv2D(128, (3, 3), use_bias=True, activation='relu', padding='same', kernel_initializer='he_normal')(layer_h6)  # 卷积层
        layer_h7 = Dropout(0.15)(layer_h7)
        layer_h8 = Conv2D(128, (3,3), use_bias=True, activation='relu', padding='same', kernel_initializer='he_normal')(layer_h7)  # 卷积层
        layer_h9 = MaxPooling2D(pool_size=2, strides=None, padding="valid")(layer_h8)  # 池化层
        layer_h9 = Dropout(0.15)(layer_h9)
        layer_h10 = Conv2D(128, (3, 3), use_bias=True, activation='relu', padding='same', kernel_initializer='he_normal')(layer_h9)  # 卷积层
        layer_h10 = Dropout(0.2)(layer_h10)
        layer_h11 = Conv2D(128, (3, 3), use_bias=True, activation='relu', padding='same', kernel_initializer='he_normal')(layer_h10)  # 卷积层
        layer_h12 = MaxPooling2D(pool_size=1, strides=None, padding="valid")(layer_h11) # 池化层
        # test=Model(inputs = input_data, outputs = layer_h12)
        # test.summary()
        layer_h12 = Reshape((self.output_shape[0], input_shape[1] // self._pool_size * 128))(layer_h12)  # Reshape层
        layer_h12 = Dropout(0.3)(layer_h12)  # 随机中断部分神经网络连接，防止过拟合
        layer_h13 = Dense(128, activation="relu", use_bias=True, kernel_initializer='he_normal')(layer_h12)  # 全连接层
        layer_h13 = Dropout(0.3)(layer_h13)
        layer_h14 = Dense(output_size, use_bias=True, kernel_initializer='he_normal')(layer_h13)  # 全连接层
        y_pred = Activation('softmax', name='Activation0')(layer_h14)
        model_base = Model(inputs=input_data, outputs=y_pred)
        # model_data.summary()
        labels = Input(name='the_labels', shape=[label_max_string_length], dtype='float32')
        input_length = Input(name='input_length', shape=[1], dtype='int64')
        label_length = Input(name='label_length', shape=[1], dtype='int64')
        # Keras doesn't currently support loss funcs with extra parameters
        # so CTC loss is implemented in a lambda layer
        loss_out = Lambda(ctc_lambda_func, output_shape=(1,), name='ctc')([y_pred, labels, input_length, label_length])
        model = Model(inputs=[input_data, labels, input_length, label_length], outputs=loss_out)
        return model, model_base
    def get_loss_function(self) -> dict:
        return {'ctc': lambda y_true, y_pred: y_pred}
    def forward(self, data_input):
        batch_size = 1 
        in_len = np.zeros((batch_size,), dtype=np.int32)
        in_len[0] = self.output_shape[0]
        x_in = np.zeros((batch_size,) + self.input_shape, dtype=np.float64)
        for i in range(batch_size):
            x_in[i, 0:len(data_input)] = data_input
        base_pred = self.model_base.predict(x=x_in)
        r = K.ctc_decode(base_pred, in_len, greedy=True, beam_width=100, top_paths=1)
        if tf.__version__[0:2] == '1.':
            r1 = r[0][0].eval(session=tf.compat.v1.Session())
        else:
            r1 = r[0][0].numpy()
        speech_result = ctc_decode_delete_tail_blank(r1[0])
        return speech_result
 class SpeechModel24(BaseModel):
    """
    定义CNN+CTC模型，使用函数式模型
    输入层：200维的特征值序列，一条语音数据的最大长度设为1600（大约16s）\\
    隐藏层：卷积池化层，卷积核大小为3x3，池化窗口大小为2 \\
    隐藏层：全连接层 \\
    输出层：全连接层，神经元数量为self.MS_OUTPUT_SIZE，使用softmax作为激活函数， \\
    CTC层：使用CTC的loss作为损失函数，实现连接性时序多输出
    参数： \\
        input_shape: tuple，默认值(1600, 200, 1) \\
        output_shape: tuple，默认值(200, 1428)
    """
    def __init__(self, input_shape :tuple=(1600, 200, 1), output_size: int = 1428) -> None:
        super().__init__()
        self.input_shape = input_shape
        self._pool_size = 8
        self.output_shape = (input_shape[0] // self._pool_size, output_size)
        self._model_name = 'SpeechModel24'
        self.model, self.model_base = self._define_model(self.input_shape, self.output_shape[1])
    def _define_model(self, input_shape, output_size) -> tuple:
        label_max_string_length = 64
        input_data = Input(name='the_input', shape=input_shape)
        layer_h1 = Conv2D(32, (3,3), use_bias=False, activation='relu', padding='same', kernel_initializer='he_normal')(input_data)  # 卷积层
        layer_h1 = Dropout(0.1)(layer_h1)
        layer_h2 = Conv2D(32, (3,3), use_bias=True, activation='relu', padding='same', kernel_initializer='he_normal')(layer_h1)  # 卷积层
        layer_h3 = MaxPooling2D(pool_size=2, strides=None, padding="valid")(layer_h2)  # 池化层
        layer_h3 = Dropout(0.2)(layer_h3)  # 随机中断部分神经网络连接，防止过拟合
        layer_h4 = Conv2D(64, (3,3), use_bias=True, activation='relu', padding='same', kernel_initializer='he_normal')(layer_h3)  # 卷积层
        layer_h4 = Dropout(0.2)(layer_h4)
        layer_h5 = Conv2D(64, (3,3), use_bias=True, activation='relu', padding='same', kernel_initializer='he_normal')(layer_h4)  # 卷积层
        layer_h6 = MaxPooling2D(pool_size=2, strides=None, padding="valid")(layer_h5) # 池化层
        layer_h6 = Dropout(0.3)(layer_h6)
        layer_h7 = Conv2D(128, (3,3), use_bias=True, activation='relu', padding='same', kernel_initializer='he_normal')(layer_h6)  # 卷积层
        layer_h7 = Dropout(0.3)(layer_h7)
        layer_h8 = Conv2D(128, (3,3), use_bias=True, activation='relu', padding='same', kernel_initializer='he_normal')(layer_h7)  # 卷积层
        layer_h9 = MaxPooling2D(pool_size=2, strides=None, padding="valid")(layer_h8) # 池化层
        # test=Model(inputs = input_data, outputs = layer_h12)
        # test.summary()
        layer_h10 = Reshape((self.output_shape[0], input_shape[1] // self._pool_size * 128))(layer_h9)  # Reshape层
        layer_h10 = Dropout(0.3)(layer_h10)  # 随机中断部分神经网络连接，防止过拟合
        layer_h11 = Dense(128, activation="relu", use_bias=True, kernel_initializer='he_normal')(layer_h10) # 全连接层
        layer_h11 = Dropout(0.3)(layer_h11)
        layer_h12 = Dense(output_size, use_bias=True, kernel_initializer='he_normal')(layer_h11) # 全连接层
        y_pred = Activation('softmax', name='Activation0')(layer_h12)
        model_base = Model(inputs=input_data, outputs=y_pred)
        # model_data.summary()
        labels = Input(name='the_labels', shape=[label_max_string_length], dtype='float32')
        input_length = Input(name='input_length', shape=[1], dtype='int64')
        label_length = Input(name='label_length', shape=[1], dtype='int64')
        # Keras doesn't currently support loss funcs with extra parameters
        # so CTC loss is implemented in a lambda layer
        loss_out = Lambda(ctc_lambda_func, output_shape=(1,), name='ctc')([y_pred, labels, input_length, label_length])
        model = Model(inputs=[input_data, labels, input_length, label_length], outputs=loss_out)
        return model, model_base
    def get_loss_function(self) -> dict:
        return {'ctc': lambda y_true, y_pred: y_pred}
    def forward(self, data_input):
        batch_size = 1 
        in_len = np.zeros((batch_size,), dtype=np.int32)
        in_len[0] = self.output_shape[0]
        x_in = np.zeros((batch_size,) + self.input_shape, dtype=np.float64)
        for i in range(batch_size):
            x_in[i, 0:len(data_input)] = data_input
        base_pred = self.model_base.predict(x=x_in)
        r = K.ctc_decode(base_pred, in_len, greedy=True, beam_width=100, top_paths=1)
        if tf.__version__[0:2] == '1.':
            r1 = r[0][0].eval(session=tf.compat.v1.Session())
        else:
            r1 = r[0][0].numpy()
        speech_result = ctc_decode_delete_tail_blank(r1[0])
        return speech_result
--- a/predict_speech_file.py
+++ b/predict_speech_file.py
@ -0,0 +1,55 @@
 # !/usr/bin/env python3
 # -*- coding: utf-8 -*-
 #
 # Copyright 2016-2099 Ailemon.net
 #
 # This file is part of ASRT Speech Recognition Tool.
 #
 # ASRT is free software: you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
 # the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 # ASRT is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU General Public License for more details.
 #
 # You should have received a copy of the GNU General Public License
 # along with ASRT.  If not, see <https://www.gnu.org/licenses/>.
 # ============================================================================
 """
@author: nl8590687
 用于通过ASRT语音识别系统预测一次语音文件的程序
 """
 import os
 from speech_model import ModelSpeech
 from model_zoo.speech_model.keras_backend import SpeechModel251BN
 from speech_features import Spectrogram
 from language_model3 import ModelLanguage
 os.environ["CUDA_VISIBLE_DEVICES"] = "0"
 AUDIO_LENGTH = 1600
 AUDIO_FEATURE_LENGTH = 200
 CHANNELS = 1
 # 默认输出的拼音的表示大小是1428，即1427个拼音+1个空白块
 OUTPUT_SIZE = 1428
 sm251bn = SpeechModel251BN(
    input_shape=(AUDIO_LENGTH, AUDIO_FEATURE_LENGTH, CHANNELS),
    output_size=OUTPUT_SIZE
 )
 feat = Spectrogram()
 ms = ModelSpeech(sm251bn, feat, max_label_length=64)
 ms.load_model('save_models/' + sm251bn.get_model_name() + '.model.h5')
 res = ms.recognize_speech_from_file('filename.wav')
 print('*[提示] 声学模型语音识别结果：\n', res)
 ml = ModelLanguage('model_language')
 ml.load_model()
 str_pinyin = res
 res = ml.pinyin_to_text(str_pinyin)
 print('语音识别最终结果：\n', res)
--- a/requirements.txt
+++ b/requirements.txt
@ -0,0 +1,59 @@
 absl-py==1.4.0
 astunparse==1.6.3
 cachetools==5.3.0
 certifi==2022.12.7
 charset-normalizer==3.0.1
 click==8.1.3
 colorama==0.4.6
 contourpy==1.0.7
 cycler==0.11.0
 Flask==2.2.2
 flatbuffers==23.1.21
 fonttools==4.38.0
 gast==0.5.3
 google-auth==2.16.0
 google-auth-oauthlib==0.4.6
 google-pasta==0.2.0
 grpcio==1.51.1
 h5py==3.8.0
 idna==3.4
 importlib-metadata==6.0.0
 itsdangerous==2.1.2
 Jinja2==3.1.2
 keras==2.8.0
 Keras-Preprocessing==1.1.2
 kiwisolver==1.4.4
 libclang==15.0.6.1
 Markdown==3.4.1
 MarkupSafe==2.1.2
 matplotlib==3.6.3
 numpy==1.24.1
 oauthlib==3.2.2
 opt-einsum==3.3.0
 packaging==23.0
 Pillow==9.4.0
 protobuf==3.19.6
 pyasn1==0.4.8
 pyasn1-modules==0.2.8
 pyparsing==3.0.9
 python-dateutil==2.8.2
 requests==2.28.2
 requests-oauthlib==1.3.1
 rsa==4.9
 scipy==1.10.0
 six==1.16.0
 tensorboard==2.8.0
 tensorboard-data-server==0.6.1
 tensorboard-plugin-wit==1.8.1
 tensorflow-estimator==2.8.0
 tensorflow-gpu==2.8.4
 tensorflow-io-gcs-filesystem==0.30.0
 termcolor==2.2.0
 typing_extensions==4.4.0
 urllib3==1.26.14
 waitress==2.1.2
 Wave==0.0.2
 Werkzeug==2.2.2
 wincertstore==0.2
 wrapt==1.14.1
 zipp==3.12.0
--- a/speech_features/init.py
+++ b/speech_features/init.py
@ -0,0 +1,26 @@
 # !/usr/bin/env python3
 # -*- coding: utf-8 -*-
 #
 # Copyright 2016-2099 Ailemon.net
 #
 # This file is part of ASRT Speech Recognition Tool.
 #
 # ASRT is free software: you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
 # the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 # ASRT is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU General Public License for more details.
 #
 # You should have received a copy of the GNU General Public License
 # along with ASRT.  If not, see <https://www.gnu.org/licenses/>.
 # ============================================================================
 """
@author: nl8590687
 ASRT语音识别声学特征模块
 """
 from .speech_features import *
--- a/speech_features/base.py
+++ b/speech_features/base.py
@ -0,0 +1,238 @@
 # !/usr/bin/env python3
 # -*- coding: utf-8 -*-
 #
 # Copyright 2016-2099 Ailemon.net
 #
 # This file is part of ASRT Speech Recognition Tool.
 #
 # ASRT is free software: you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
 # the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 # ASRT is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU General Public License for more details.
 #
 # You should have received a copy of the GNU General Public License
 # along with ASRT.  If not, see <https://www.gnu.org/licenses/>.
 # ============================================================================
 # calculate filterbank features. Provides e.g. fbank and mfcc features for use in ASR applications
 # Author: James Lyons 2012
 """
@author: nl8590687
 ASRT语音识别声学特征基础库模块，一些基础函数实现
 """
 from __future__ import division
 import numpy
 from scipy.fftpack import dct
 from .sigproc import preemphasis, framesig, powspec
 def calculate_nfft(samplerate, winlen):
    """Calculates the FFT size as a power of two greater than or equal to
    the number of samples in a single window length.
    Having an FFT less than the window length loses precision by dropping
    many of the samples; a longer FFT than the window allows zero-padding
    of the FFT buffer which is neutral in terms of frequency domain conversion.
    :param samplerate: The sample rate of the signal we are working with, in Hz.
    :param winlen: The length of the analysis window in seconds.
    """
    window_length_samples = winlen * samplerate
    nfft = 1
    while nfft < window_length_samples:
        nfft *= 2
    return nfft
 def mfcc(signal, samplerate=16000, winlen=0.025, winstep=0.01, numcep=13,
         nfilt=26, nfft=None, lowfreq=0, highfreq=None, preemph=0.97, ceplifter=22, appendEnergy=True,
         winfunc=lambda x: numpy.ones((x,))):
    """Compute MFCC features from an audio signal.
    :param signal: the audio signal from which to compute features. Should be an N*1 array
    :param samplerate: the sample rate of the signal we are working with, in Hz.
    :param winlen: the length of the analysis window in seconds. Default is 0.025s (25 milliseconds)
    :param winstep: the step between successive windows in seconds. Default is 0.01s (10 milliseconds)
    :param numcep: the number of cepstrum to return, default 13
    :param nfilt: the number of filters in the filterbank, default 26.
    :param nfft: the FFT size. Default is None, which uses the calculate_nfft function to choose the smallest size that does not drop sample data.
    :param lowfreq: lowest band edge of mel filters. In Hz, default is 0.
    :param highfreq: highest band edge of mel filters. In Hz, default is samplerate/2
    :param preemph: apply preemphasis filter with preemph as coefficient. 0 is no filter. Default is 0.97.
    :param ceplifter: apply a lifter to final cepstral coefficients. 0 is no lifter. Default is 22.
    :param appendEnergy: if this is true, the zeroth cepstral coefficient is replaced with the log of the total frame energy.
    :param winfunc: the analysis window to apply to each frame. By default no window is applied. You can use numpy window functions here e.g. winfunc=numpy.hamming
    :returns: A numpy array of size (NUMFRAMES by numcep) containing features. Each row holds 1 feature vector.
    """
    nfft = nfft or calculate_nfft(samplerate, winlen)
    feat, energy = fbank(signal, samplerate, winlen, winstep, nfilt, nfft, lowfreq, highfreq, preemph, winfunc)
    feat = numpy.log(feat)
    feat = dct(feat, type=2, axis=1, norm='ortho')[:, :numcep]
    feat = lifter(feat, ceplifter)
    if appendEnergy: feat[:, 0] = numpy.log(energy)  # replace first cepstral coefficient with log of frame energy
    return feat
 def fbank(signal, samplerate=16000, winlen=0.025, winstep=0.01,
          nfilt=26, nfft=512, lowfreq=0, highfreq=None, preemph=0.97,
          winfunc=lambda x: numpy.ones((x,))):
    """Compute Mel-filterbank energy features from an audio signal.
    :param signal: the audio signal from which to compute features. Should be an N*1 array
    :param samplerate: the sample rate of the signal we are working with, in Hz.
    :param winlen: the length of the analysis window in seconds. Default is 0.025s (25 milliseconds)
    :param winstep: the step between successive windows in seconds. Default is 0.01s (10 milliseconds)
    :param nfilt: the number of filters in the filterbank, default 26.
    :param nfft: the FFT size. Default is 512.
    :param lowfreq: lowest band edge of mel filters. In Hz, default is 0.
    :param highfreq: highest band edge of mel filters. In Hz, default is samplerate/2
    :param preemph: apply preemphasis filter with preemph as coefficient. 0 is no filter. Default is 0.97.
    :param winfunc: the analysis window to apply to each frame. By default no window is applied. You can use numpy window functions here e.g. winfunc=numpy.hamming
    :returns: 2 values. The first is a numpy array of size (NUMFRAMES by nfilt) containing features. Each row holds 1 feature vector. The
        second return value is the energy in each frame (total energy, unwindowed)
    """
    highfreq = highfreq or samplerate / 2
    signal = preemphasis(signal, preemph)
    frames = framesig(signal, winlen * samplerate, winstep * samplerate, winfunc)
    pspec = powspec(frames, nfft)
    energy = numpy.sum(pspec, 1)  # this stores the total energy in each frame
    energy = numpy.where(energy == 0, numpy.finfo(float).eps, energy)  # if energy is zero, we get problems with log
    fb = get_filterbanks(nfilt, nfft, samplerate, lowfreq, highfreq)
    feat = numpy.dot(pspec, fb.T)  # compute the filterbank energies
    feat = numpy.where(feat == 0, numpy.finfo(float).eps, feat)  # if feat is zero, we get problems with log
    return feat, energy
 def logfbank(signal, samplerate=16000, winlen=0.025, winstep=0.01,
             nfilt=26, nfft=512, lowfreq=0, highfreq=None, preemph=0.97,
             winfunc=lambda x: numpy.ones((x,))):
    """Compute log Mel-filterbank energy features from an audio signal.
    :param signal: the audio signal from which to compute features. Should be an N*1 array
    :param samplerate: the sample rate of the signal we are working with, in Hz.
    :param winlen: the length of the analysis window in seconds. Default is 0.025s (25 milliseconds)
    :param winstep: the step between successive windows in seconds. Default is 0.01s (10 milliseconds)
    :param nfilt: the number of filters in the filterbank, default 26.
    :param nfft: the FFT size. Default is 512.
    :param lowfreq: lowest band edge of mel filters. In Hz, default is 0.
    :param highfreq: highest band edge of mel filters. In Hz, default is samplerate/2
    :param preemph: apply preemphasis filter with preemph as coefficient. 0 is no filter. Default is 0.97.
    :param winfunc: the analysis window to apply to each frame. By default no window is applied. You can use numpy window functions here e.g. winfunc=numpy.hamming
    :returns: A numpy array of size (NUMFRAMES by nfilt) containing features. Each row holds 1 feature vector.
    """
    feat, energy = fbank(signal, samplerate, winlen, winstep, nfilt, nfft, lowfreq, highfreq, preemph, winfunc)
    return numpy.log(feat)
 def ssc(signal, samplerate=16000, winlen=0.025, winstep=0.01,
        nfilt=26, nfft=512, lowfreq=0, highfreq=None, preemph=0.97,
        winfunc=lambda x: numpy.ones((x,))):
    """Compute Spectral Subband Centroid features from an audio signal.
    :param signal: the audio signal from which to compute features. Should be an N*1 array
    :param samplerate: the sample rate of the signal we are working with, in Hz.
    :param winlen: the length of the analysis window in seconds. Default is 0.025s (25 milliseconds)
    :param winstep: the step between successive windows in seconds. Default is 0.01s (10 milliseconds)
    :param nfilt: the number of filters in the filterbank, default 26.
    :param nfft: the FFT size. Default is 512.
    :param lowfreq: lowest band edge of mel filters. In Hz, default is 0.
    :param highfreq: highest band edge of mel filters. In Hz, default is samplerate/2
    :param preemph: apply preemphasis filter with preemph as coefficient. 0 is no filter. Default is 0.97.
    :param winfunc: the analysis window to apply to each frame. By default no window is applied. You can use numpy window functions here e.g. winfunc=numpy.hamming
    :returns: A numpy array of size (NUMFRAMES by nfilt) containing features. Each row holds 1 feature vector.
    """
    highfreq = highfreq or samplerate / 2
    signal = preemphasis(signal, preemph)
    frames = framesig(signal, winlen * samplerate, winstep * samplerate, winfunc)
    pspec = powspec(frames, nfft)
    pspec = numpy.where(pspec == 0, numpy.finfo(float).eps, pspec)  # if things are all zeros we get problems
    fb = get_filterbanks(nfilt, nfft, samplerate, lowfreq, highfreq)
    feat = numpy.dot(pspec, fb.T)  # compute the filterbank energies
    R = numpy.tile(numpy.linspace(1, samplerate / 2, numpy.size(pspec, 1)), (numpy.size(pspec, 0), 1))
    return numpy.dot(pspec * R, fb.T) / feat
 def hz2mel(hz):
    """Convert a value in Hertz to Mels
    :param hz: a value in Hz. This can also be a numpy array, conversion proceeds element-wise.
    :returns: a value in Mels. If an array was passed in, an identical sized array is returned.
    """
    return 2595 * numpy.log10(1 + hz / 700.)
 def mel2hz(mel):
    """Convert a value in Mels to Hertz
    :param mel: a value in Mels. This can also be a numpy array, conversion proceeds element-wise.
    :returns: a value in Hertz. If an array was passed in, an identical sized array is returned.
    """
    return 700 * (10 ** (mel / 2595.0) - 1)
 def get_filterbanks(nfilt=20, nfft=512, samplerate=16000, lowfreq=0, highfreq=None):
    """Compute a Mel-filterbank. The filters are stored in the rows, the columns correspond
    to fft bins. The filters are returned as an array of size nfilt * (nfft/2 + 1)
    :param nfilt: the number of filters in the filterbank, default 20.
    :param nfft: the FFT size. Default is 512.
    :param samplerate: the sample rate of the signal we are working with, in Hz. Affects mel spacing.
    :param lowfreq: lowest band edge of mel filters, default 0 Hz
    :param highfreq: highest band edge of mel filters, default samplerate/2
    :returns: A numpy array of size nfilt * (nfft/2 + 1) containing filterbank. Each row holds 1 filter.
    """
    highfreq = highfreq or samplerate / 2
    assert highfreq <= samplerate / 2, "highfreq is greater than samplerate/2"
    # compute points evenly spaced in mels
    lowmel = hz2mel(lowfreq)
    highmel = hz2mel(highfreq)
    melpoints = numpy.linspace(lowmel, highmel, nfilt + 2)
    # our points are in Hz, but we use fft bins, so we have to convert
    #  from Hz to fft bin number
    bin = numpy.floor((nfft + 1) * mel2hz(melpoints) / samplerate)
    fbank = numpy.zeros([nfilt, nfft // 2 + 1])
    for j in range(0, nfilt):
        for i in range(int(bin[j]), int(bin[j + 1])):
            fbank[j, i] = (i - bin[j]) / (bin[j + 1] - bin[j])
        for i in range(int(bin[j + 1]), int(bin[j + 2])):
            fbank[j, i] = (bin[j + 2] - i) / (bin[j + 2] - bin[j + 1])
    return fbank
 def lifter(cepstra, L=22):
    """Apply a cepstral lifter the the matrix of cepstra. This has the effect of increasing the
    magnitude of the high frequency DCT coeffs.
    :param cepstra: the matrix of mel-cepstra, will be numframes * numcep in size.
    :param L: the liftering coefficient to use. Default is 22. L <= 0 disables lifter.
    """
    if L > 0:
        nframes, ncoeff = numpy.shape(cepstra)
        n = numpy.arange(ncoeff)
        lift = 1 + (L / 2.) * numpy.sin(numpy.pi * n / L)
        return lift * cepstra
    else:
        # values of L <= 0, do nothing
        return cepstra
 def delta(feat, N):
    """Compute delta features from a feature vector sequence.
    :param feat: A numpy array of size (NUMFRAMES by number of features) containing features. Each row holds 1 feature vector.
    :param N: For each frame, calculate delta features based on preceding and following N frames
    :returns: A numpy array of size (NUMFRAMES by number of features) containing delta features. Each row holds 1 delta feature vector.
    """
    if N < 1:
        raise ValueError('N must be an integer >= 1')
    NUMFRAMES = len(feat)
    denominator = 2 * sum([i ** 2 for i in range(1, N + 1)])
    delta_feat = numpy.empty_like(feat)
    padded = numpy.pad(feat, ((N, N), (0, 0)), mode='edge')  # padded version of feat
    for t in range(NUMFRAMES):
        delta_feat[t] = numpy.dot(numpy.arange(-N, N + 1),
                                  padded[t: t + 2 * N + 1]) / denominator  # [t : t+2*N+1] == [(N+t)-N : (N+t)+N+1]
    return delta_feat
--- a/speech_features/sigproc.py
+++ b/speech_features/sigproc.py
@ -0,0 +1,159 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 #
 # Copyright 2016-2099 Ailemon.net
 #
 # This file is part of ASRT Speech Recognition Tool.
 #
 # ASRT is free software: you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
 # the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 # ASRT is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU General Public License for more details.
 #
 # You should have received a copy of the GNU General Public License
 # along with ASRT.  If not, see <https://www.gnu.org/licenses/>.
 # ============================================================================
 # This file includes routines for basic signal processing including framing and computing power spectra.
 # Author: James Lyons 2012
 '''
@author: nl8590687
 ASRT语音识别声学特征计算的信号处理计算的函数库
 '''
 import decimal
 import logging
 import math
 import numpy
 def round_half_up(number):
    return int(decimal.Decimal(number).quantize(decimal.Decimal('1'), rounding=decimal.ROUND_HALF_UP))
 def rolling_window(a, window, step=1):
    # http://ellisvalentiner.com/post/2017-03-21-np-strides-trick
    shape = a.shape[:-1] + (a.shape[-1] - window + 1, window)
    strides = a.strides + (a.strides[-1],)
    return numpy.lib.stride_tricks.as_strided(a, shape=shape, strides=strides)[::step]
 def framesig(sig, frame_len, frame_step, winfunc=lambda x: numpy.ones((x,)), stride_trick=True):
    """Frame a signal into overlapping frames.
    :param sig: the audio signal to frame.
    :param frame_len: length of each frame measured in samples.
    :param frame_step: number of samples after the start of the previous frame that the next frame should begin.
    :param winfunc: the analysis window to apply to each frame. By default no window is applied.
    :param stride_trick: use stride trick to compute the rolling window and window multiplication faster
    :returns: an array of frames. Size is NUMFRAMES by frame_len.
    """
    slen = len(sig)
    frame_len = int(round_half_up(frame_len))
    frame_step = int(round_half_up(frame_step))
    if slen <= frame_len:
        numframes = 1
    else:
        numframes = 1 + int(math.ceil((1.0 * slen - frame_len) / frame_step))
    padlen = int((numframes - 1) * frame_step + frame_len)
    zeros = numpy.zeros((padlen - slen,))
    padsignal = numpy.concatenate((sig, zeros))
    if stride_trick:
        win = winfunc(frame_len)
        frames = rolling_window(padsignal, window=frame_len, step=frame_step)
    else:
        indices = numpy.tile(numpy.arange(0, frame_len), (numframes, 1)) + numpy.tile(
            numpy.arange(0, numframes * frame_step, frame_step), (frame_len, 1)).T
        indices = numpy.array(indices, dtype=numpy.int32)
        frames = padsignal[indices]
        win = numpy.tile(winfunc(frame_len), (numframes, 1))
    return frames * win
 def deframesig(frames, siglen, frame_len, frame_step, winfunc=lambda x: numpy.ones((x,))):
    """Does overlap-add procedure to undo the action of framesig.
    :param frames: the array of frames.
    :param siglen: the length of the desired signal, use 0 if unknown. Output will be truncated to siglen samples.
    :param frame_len: length of each frame measured in samples.
    :param frame_step: number of samples after the start of the previous frame that the next frame should begin.
    :param winfunc: the analysis window to apply to each frame. By default no window is applied.
    :returns: a 1-D signal.
    """
    frame_len = round_half_up(frame_len)
    frame_step = round_half_up(frame_step)
    numframes = numpy.shape(frames)[0]
    assert numpy.shape(frames)[1] == frame_len, '"frames" matrix is wrong size, 2nd dim is not equal to frame_len'
    indices = numpy.tile(numpy.arange(0, frame_len), (numframes, 1)) + numpy.tile(
        numpy.arange(0, numframes * frame_step, frame_step), (frame_len, 1)).T
    indices = numpy.array(indices, dtype=numpy.int32)
    padlen = (numframes - 1) * frame_step + frame_len
    if siglen <= 0: siglen = padlen
    rec_signal = numpy.zeros((padlen,))
    window_correction = numpy.zeros((padlen,))
    win = winfunc(frame_len)
    for i in range(0, numframes):
        window_correction[indices[i, :]] = window_correction[
                                               indices[i, :]] + win + 1e-15  # add a little bit so it is never zero
        rec_signal[indices[i, :]] = rec_signal[indices[i, :]] + frames[i, :]
    rec_signal = rec_signal / window_correction
    return rec_signal[0:siglen]
 def magspec(frames, NFFT):
    """Compute the magnitude spectrum of each frame in frames. If frames is an NxD matrix, output will be Nx(NFFT/2+1).
    :param frames: the array of frames. Each row is a frame.
    :param NFFT: the FFT length to use. If NFFT > frame_len, the frames are zero-padded.
    :returns: If frames is an NxD matrix, output will be Nx(NFFT/2+1). Each row will be the magnitude spectrum of the corresponding frame.
    """
    if numpy.shape(frames)[1] > NFFT:
        logging.warn(
            'frame length (%d) is greater than FFT size (%d), frame will be truncated. Increase NFFT to avoid.',
            numpy.shape(frames)[1], NFFT)
    complex_spec = numpy.fft.rfft(frames, NFFT)
    return numpy.absolute(complex_spec)
 def powspec(frames, NFFT):
    """Compute the power spectrum of each frame in frames. If frames is an NxD matrix, output will be Nx(NFFT/2+1).
    :param frames: the array of frames. Each row is a frame.
    :param NFFT: the FFT length to use. If NFFT > frame_len, the frames are zero-padded.
    :returns: If frames is an NxD matrix, output will be Nx(NFFT/2+1). Each row will be the power spectrum of the corresponding frame.
    """
    return 1.0 / NFFT * numpy.square(magspec(frames, NFFT))
 def logpowspec(frames, NFFT, norm=1):
    """Compute the log power spectrum of each frame in frames. If frames is an NxD matrix, output will be Nx(NFFT/2+1).
    :param frames: the array of frames. Each row is a frame.
    :param NFFT: the FFT length to use. If NFFT > frame_len, the frames are zero-padded.
    :param norm: If norm=1, the log power spectrum is normalised so that the max value (across all frames) is 0.
    :returns: If frames is an NxD matrix, output will be Nx(NFFT/2+1). Each row will be the log power spectrum of the corresponding frame.
    """
    ps = powspec(frames, NFFT)
    ps[ps <= 1e-30] = 1e-30
    lps = 10 * numpy.log10(ps)
    if norm:
        return lps - numpy.max(lps)
    else:
        return lps
 def preemphasis(signal, coeff=0.95):
    """perform preemphasis on the input signal.
    :param signal: The signal to filter.
    :param coeff: The preemphasis coefficient. 0 is no filter, default is 0.95.
    :returns: the filtered signal.
    """
    return numpy.append(signal[0], signal[1:] - coeff * signal[:-1])
--- a/speech_features/speech_features.py
+++ b/speech_features/speech_features.py
@ -0,0 +1,228 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 #
 # Copyright 2016-2099 Ailemon.net
 #
 # This file is part of ASRT Speech Recognition Tool.
 #
 # ASRT is free software: you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
 # the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 # ASRT is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU General Public License for more details.
 #
 # You should have received a copy of the GNU General Public License
 # along with ASRT.  If not, see <https://www.gnu.org/licenses/>.
 # ============================================================================
 """
@author: nl8590687
 ASRT语音识别内置声学特征提取模块，定义了几个常用的声学特征类
 """
 import random
 import numpy as np
 from scipy.fftpack import fft
 from .base import mfcc, delta, logfbank
 class SpeechFeatureMeta:
    """
    ASRT语音识别中所有声学特征提取类的基类
    """
    def __init__(self, framesamplerate=16000):
        self.framesamplerate = framesamplerate
    def run(self, wavsignal, fs=16000):
        '''
        run method
        '''
        raise NotImplementedError('[ASRT] `run()` method is not implemented.')
 class MFCC(SpeechFeatureMeta):
    """
    ASRT语音识别内置的mfcc声学特征提取类
    Compute MFCC features from an audio signal.
    :param framesamplerate: the sample rate of the signal we are working with, in Hz.
    :param winlen: the length of the analysis window in seconds. Default is 0.025s (25 milliseconds)
    :param winstep: the step between successive windows in seconds. Default is 0.01s (10 milliseconds)
    :param numcep: the number of cepstrum to return, default 13
    :param nfilt: the number of filters in the filterbank, default 26.
    :param preemph: apply preemphasis filter with preemph as coefficient. 0 is no filter. Default is 0.97.
    """
    def __init__(self, framesamplerate=16000,
                 winlen=0.025,
                 winstep=0.01,
                 numcep=13,
                 nfilt=26,
                 preemph=0.97):
        self.framesamplerate = framesamplerate
        self.winlen = winlen
        self.winstep = winstep
        self.numcep = numcep
        self.nfilt = nfilt
        self.preemph = preemph
        super().__init__(framesamplerate)
    def run(self, wavsignal, fs=16000):
        """
        计算mfcc声学特征，包含静态特征、一阶差分和二阶差分
        :returns: A numpy array of size (NUMFRAMES by numcep * 3) containing features. Each row holds 1 feature vector.
        """
        wavsignal = np.array(wavsignal, dtype=np.float64)
        # 获取输入特征
        feat_mfcc = mfcc(wavsignal[0], samplerate=self.framesamplerate, winlen=self.winlen,
                         winstep=self.winstep, numcep=self.numcep, nfilt=self.nfilt, preemph=self.preemph)
        feat_mfcc_d = delta(feat_mfcc, 2)
        feat_mfcc_dd = delta(feat_mfcc_d, 2)
        # 返回值分别是mfcc特征向量的矩阵及其一阶差分和二阶差分矩阵
        wav_feature = np.column_stack((feat_mfcc, feat_mfcc_d, feat_mfcc_dd))
        return wav_feature
 class Logfbank(SpeechFeatureMeta):
    """
    ASRT语音识别内置的logfbank声学特征提取类
    """
    def __init__(self, framesamplerate=16000, nfilt=26):
        self.nfilt = nfilt
        super().__init__(framesamplerate)
    def run(self, wavsignal, fs=16000):
        wavsignal = np.array(wavsignal, dtype=np.float64)
        # 获取输入特征
        wav_feature = logfbank(wavsignal, fs, nfilt=self.nfilt)
        return wav_feature
 class Spectrogram(SpeechFeatureMeta):
    """
    ASRT语音识别内置的语谱图声学特征提取类
    """
    def __init__(self, framesamplerate=16000, timewindow=25, timeshift=10):
        self.time_window = timewindow
        self.window_length = int(framesamplerate / 1000 * self.time_window)  # 计算窗长度的公式，目前全部为400固定值
        self.timeshift = timeshift
        '''
        # 保留将来用于不同采样频率
        self.x=np.linspace(0, self.window_length - 1, self.window_length, dtype = np.int64)
        self.w = 0.54 - 0.46 * np.cos(2 * np.pi * (self.x) / (self.window_length - 1) ) # 汉明窗
        '''
        self.x = np.linspace(0, 400 - 1, 400, dtype=np.int64)
        self.w = 0.54 - 0.46 * np.cos(2 * np.pi * (self.x) / (400 - 1))  # 汉明窗
        super().__init__(framesamplerate)
    def run(self, wavsignal, fs=16000):
        if fs != 16000:
            raise ValueError(
                f"[Error] ASRT currently only supports wav audio files with a sampling rate of 16000 Hz, but this "
                f"audio is {fs} Hz.")
        # wav波形 加时间窗以及时移10ms
        time_window = 25  # 单位ms
        window_length = int(fs / 1000 * time_window)  # 计算窗长度的公式，目前全部为400固定值
        wav_arr = np.array(wavsignal)
        # wav_length = len(wavsignal[0])
        # wav_length = wav_arr.shape[1]
        range0_end = int(len(wavsignal[0]) / fs * 1000 - time_window) // 10 + 1  # 计算循环终止的位置，也就是最终生成的窗数
        data_input = np.zeros((range0_end, window_length // 2), dtype=np.float64)  # 用于存放最终的频率特征数据
        data_line = np.zeros((1, window_length), dtype=np.float64)
        for i in range(0, range0_end):
            p_start = i * 160
            p_end = p_start + 400
            data_line = wav_arr[0, p_start:p_end]
            data_line = data_line * self.w  # 加窗
            data_line = np.abs(fft(data_line))
            data_input[i] = data_line[0: window_length // 2]  # 设置为400除以2的值（即200）是取一半数据，因为是对称的
        data_input = np.log(data_input + 1)
        return data_input
 class SpecAugment(SpeechFeatureMeta):
    """
    复现谷歌SpecAugment数据增强特征算法，基于Spectrogram语谱图基础特征
    """
    def __init__(self, framesamplerate=16000, timewindow=25, timeshift=10):
        self.time_window = timewindow
        self.window_length = int(framesamplerate / 1000 * self.time_window)  # 计算窗长度的公式，目前全部为400固定值
        self.timeshift = timeshift
        '''
        # 保留将来用于不同采样频率
        self.x=np.linspace(0, self.window_length - 1, self.window_length, dtype = np.int64)
        self.w = 0.54 - 0.46 * np.cos(2 * np.pi * (self.x) / (self.window_length - 1) ) # 汉明窗
        '''
        self.x = np.linspace(0, 400 - 1, 400, dtype=np.int64)
        self.w = 0.54 - 0.46 * np.cos(2 * np.pi * (self.x) / (400 - 1))  # 汉明窗
        super().__init__(framesamplerate)
    def run(self, wavsignal, fs=16000):
        if fs != 16000:
            raise ValueError(
                f"[Error] ASRT currently only supports wav audio files with a sampling rate of 16000 Hz, but this "
                f"audio is {fs} Hz.")
        # wav波形 加时间窗以及时移10ms
        time_window = 25  # 单位ms
        window_length = int(fs / 1000 * time_window)  # 计算窗长度的公式，目前全部为400固定值
        wav_arr = np.array(wavsignal)
        # wav_length = len(wavsignal[0])
        # wav_length = wav_arr.shape[1]
        range0_end = int(len(wavsignal[0]) / fs * 1000 - time_window) // 10 + 1  # 计算循环终止的位置，也就是最终生成的窗数
        data_input = np.zeros((range0_end, window_length // 2), dtype=np.float64)  # 用于存放最终的频率特征数据
        data_line = np.zeros((1, window_length), dtype=np.float64)
        for i in range(0, range0_end):
            p_start = i * 160
            p_end = p_start + 400
            data_line = wav_arr[0, p_start:p_end]
            data_line = data_line * self.w  # 加窗
            data_line = np.abs(fft(data_line))
            data_input[i] = data_line[0: window_length // 2]  # 设置为400除以2的值（即200）是取一半数据，因为是对称的
        # print(data_input.shape)
        data_input = np.log(data_input + 1)
        # 开始对得到的特征应用SpecAugment
        mode = random.randint(1, 100)
        h_start = random.randint(1, data_input.shape[0])
        h_width = random.randint(1, 100)
        v_start = random.randint(1, data_input.shape[1])
        v_width = random.randint(1, 100)
        if mode <= 60:  # 正常特征 60%
            pass
        elif 60 < mode <= 75:  # 横向遮盖 15%
            data_input[h_start:h_start + h_width, :] = 0
        elif 75 < mode <= 90:  # 纵向遮盖 15%
            data_input[:, v_start:v_start + v_width] = 0
        else:  # 两种遮盖叠加 10%
            data_input[h_start:h_start + h_width, :v_start:v_start + v_width] = 0
        return data_input
--- a/speech_model.py
+++ b/speech_model.py
@ -0,0 +1,262 @@
 # !/usr/bin/env python3
 # -*- coding: utf-8 -*-
 #
 # Copyright 2016-2099 Ailemon.net
 #
 # This file is part of ASRT Speech Recognition Tool.
 #
 # ASRT is free software: you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
 # the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 # ASRT is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU General Public License for more details.
 #
 # You should have received a copy of the GNU General Public License
 # along with ASRT.  If not, see <https://www.gnu.org/licenses/>.
 # ============================================================================
 """
@author: nl8590687
 声学模型基础功能模板定义
 """
 import os
 import time
 import random
 import numpy as np
 from utils.ops import get_edit_distance, read_wav_data
 from utils.config import load_config_file, DEFAULT_CONFIG_FILENAME, load_pinyin_dict
 from utils.thread import threadsafe_generator
 class ModelSpeech:
    """
    语音模型类
    参数：
        speech_model: 声学模型类型 (BaseModel类) 实例对象
        speech_features: 声学特征类型(SpeechFeatureMeta类)实例对象
    """
    def __init__(self, speech_model, speech_features, max_label_length=64):
        self.data_loader = None
        self.speech_model = speech_model
        self.trained_model, self.base_model = speech_model.get_model()
        self.speech_features = speech_features
        self.max_label_length = max_label_length
    @threadsafe_generator
    def _data_generator(self, batch_size, data_loader):
        """
        数据生成器函数，用于Keras的generator_fit训练
        batch_size: 一次产生的数据量
        """
        labels = np.zeros((batch_size, 1), dtype=np.float64)
        data_count = data_loader.get_data_count()
        index = 0
        while True:
            X = np.zeros((batch_size,) + self.speech_model.input_shape, dtype=np.float64)
            y = np.zeros((batch_size, self.max_label_length), dtype=np.int16)
            input_length = []
            label_length = []
            for i in range(batch_size):
                wavdata, sample_rate, data_labels = data_loader.get_data(index)
                data_input = self.speech_features.run(wavdata, sample_rate)
                data_input = data_input.reshape(data_input.shape[0], data_input.shape[1], 1)
                # 必须加上模pool_size得到的值，否则会出现inf问题，然后提示No valid path found.
                # 但是直接加又可能会出现sequence_length <= xxx 的问题，因此不能让其超过时间序列长度的最大值，比如200
                pool_size = self.speech_model.input_shape[0] // self.speech_model.output_shape[0]
                inlen = min(data_input.shape[0] // pool_size + data_input.shape[0] % pool_size,
                            self.speech_model.output_shape[0])
                input_length.append(inlen)
                X[i, 0:len(data_input)] = data_input
                y[i, 0:len(data_labels)] = data_labels
                label_length.append([len(data_labels)])
                index = (index + 1) % data_count
            label_length = np.matrix(label_length)
            input_length = np.array([input_length]).T
            yield [X, y, input_length, label_length], labels
    def train_model(self, optimizer, data_loader, epochs=1, save_step=1, batch_size=16, last_epoch=0, call_back=None):
        """
        训练模型
        参数：
            optimizer：tensorflow.keras.optimizers 优化器实例对象
            data_loader：数据加载器类型 (SpeechData) 实例对象
            epochs: 迭代轮数
            save_step: 每多少epoch保存一次模型
            batch_size: mini batch大小
            last_epoch: 上一次epoch的编号，可用于断点处继续训练时，epoch编号不冲突
            call_back: keras call back函数
        """
        save_filename = os.path.join('save_models', self.speech_model.get_model_name(),
                                     self.speech_model.get_model_name())
        self.trained_model.compile(loss=self.speech_model.get_loss_function(), optimizer=optimizer)
        print('[ASRT] Compiles Model Successfully.')
        yielddatas = self._data_generator(batch_size, data_loader)
        data_count = data_loader.get_data_count()  # 获取数据的数量
        # 计算每一个epoch迭代的次数
        num_iterate = data_count // batch_size
        iter_start = last_epoch
        iter_end = last_epoch + epochs
        for epoch in range(iter_start, iter_end):  # 迭代轮数
            try:
                epoch += 1
                print('[ASRT Training] train epoch %d/%d .' % (epoch, iter_end))
                data_loader.shuffle()
                self.trained_model.fit_generator(yielddatas, num_iterate, callbacks=call_back)
            except StopIteration:
                print('[error] generator error. please check data format.')
                break
            if epoch % save_step == 0:
                if not os.path.exists('save_models'):  # 判断保存模型的目录是否存在
                    os.makedirs('save_models')  # 如果不存在，就新建一个，避免之后保存模型的时候炸掉
                if not os.path.exists(os.path.join('save_models', self.speech_model.get_model_name())):  # 判断保存模型的目录是否存在
                    os.makedirs(
                        os.path.join('save_models', self.speech_model.get_model_name()))  # 如果不存在，就新建一个，避免之后保存模型的时候炸掉
                self.save_model(save_filename + '_epoch' + str(epoch))
        print('[ASRT Info] Model training complete. ')
    def load_model(self, filename):
        """
        加载模型参数
        """
        self.speech_model.load_weights(filename)
    def save_model(self, filename):
        """
        保存模型参数
        """
        self.speech_model.save_weights(filename)
    def evaluate_model(self, data_loader, data_count=-1, out_report=False, show_ratio=True, show_per_step=100):
        """
        评估检验模型的识别效果
        """
        data_nums = data_loader.get_data_count()
        if data_count <= 0 or data_count > data_nums:  # 当data_count为小于等于0或者大于测试数据量的值时，则使用全部数据来测试
            data_count = data_nums
        try:
            ran_num = random.randint(0, data_nums - 1)  # 获取一个随机数
            words_num = 0
            word_error_num = 0
            nowtime = time.strftime('%Y%m%d_%H%M%S', time.localtime(time.time()))
            if out_report:
                txt_obj = open('Test_Report_' + data_loader.dataset_type + '_' + nowtime + '.txt', 'w',
                               encoding='UTF-8')  # 打开文件并读入
                txt_obj.truncate((data_count + 1) * 300)  # 预先分配一定数量的磁盘空间，避免后期在硬盘中文件存储位置频繁移动，以防写入速度越来越慢
                txt_obj.seek(0)  # 从文件首开始
            txt = ''
            i = 0
            while i < data_count:
                wavdata, fs, data_labels = data_loader.get_data((ran_num + i) % data_nums)  # 从随机数开始连续向后取一定数量数据
                data_input = self.speech_features.run(wavdata, fs)
                data_input = data_input.reshape(data_input.shape[0], data_input.shape[1], 1)
                # 数据格式出错处理 开始
                # 当输入的wav文件长度过长时自动跳过该文件，转而使用下一个wav文件来运行
                if data_input.shape[0] > self.speech_model.input_shape[0]:
                    print('*[Error]', 'wave data lenghth of num', (ran_num + i) % data_nums, 'is too long.',
                          'this data\'s length is', data_input.shape[0],
                          'expect <=', self.speech_model.input_shape[0],
                          '\n A Exception raise when test Speech Model.')
                    i += 1
                    continue
                # 数据格式出错处理 结束
                pre = self.predict(data_input)
                words_n = data_labels.shape[0]  # 获取每个句子的字数
                words_num += words_n  # 把句子的总字数加上
                edit_distance = get_edit_distance(data_labels, pre)  # 获取编辑距离
                if edit_distance <= words_n:  # 当编辑距离小于等于句子字数时
                    word_error_num += edit_distance  # 使用编辑距离作为错误字数
                else:  # 否则肯定是增加了一堆乱七八糟的奇奇怪怪的字
                    word_error_num += words_n  # 就直接加句子本来的总字数就好了
                if i % show_per_step == 0 and show_ratio:
                    print('[ASRT Info] Testing: ', i, '/', data_count)
                txt = ''
                if out_report:
                    txt += str(i) + '\n'
                    txt += 'True:\t' + str(data_labels) + '\n'
                    txt += 'Pred:\t' + str(pre) + '\n'
                    txt += '\n'
                    txt_obj.write(txt)
                i += 1
            # print('*[测试结果] 语音识别 ' + str_dataset + ' 集语音单字错误率：', word_error_num / words_num * 100, '%')
            print('*[ASRT Test Result] Speech Recognition ' + data_loader.dataset_type + ' set word error ratio: ',
                  word_error_num / words_num * 100, '%')
            if out_report:
                txt = '*[ASRT Test Result] Speech Recognition ' + data_loader.dataset_type + ' set word error ratio: ' + str(
                    word_error_num / words_num * 100) + ' %'
                txt_obj.write(txt)
                txt_obj.truncate()  # 去除文件末尾剩余未使用的空白存储字节
                txt_obj.close()
        except StopIteration:
            print('[ASRT Error] Model testing raise a error. Please check data format.')
    def predict(self, data_input):
        """
        预测结果
        返回语音识别后的forward结果
        """
        return self.speech_model.forward(data_input)
    def recognize_speech(self, wavsignal, fs):
        """
        最终做语音识别用的函数，识别一个wav序列的语音
        """
        # 获取输入特征
        data_input = self.speech_features.run(wavsignal, fs)
        data_input = np.array(data_input, dtype=np.float64)
        # print(data_input,data_input.shape)
        data_input = data_input.reshape(data_input.shape[0], data_input.shape[1], 1)
        r1 = self.predict(data_input)
        # 获取拼音列表
        list_symbol_dic, _ = load_pinyin_dict(load_config_file(DEFAULT_CONFIG_FILENAME)['dict_filename'])
        r_str = []
        for i in r1:
            r_str.append(list_symbol_dic[i])
        return r_str
    def recognize_speech_from_file(self, filename):
        """
        最终做语音识别用的函数，识别指定文件名的语音
        """
        wavsignal, sample_rate, _, _ = read_wav_data(filename)
        r = self.recognize_speech(wavsignal, sample_rate)
        return r
    @property
    def model(self):
        """
        返回tf.keras model
        """
        return self.trained_model
--- a/speech_recorder.py
+++ b/speech_recorder.py
@ -0,0 +1,109 @@
 # !/usr/bin/env python3
 # -*- coding: utf-8 -*-
 #
 # Copyright 2016-2099 Ailemon.net
 #
 # This file is part of ASRT Speech Recognition Tool.
 #
 # ASRT is free software: you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
 # the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 # ASRT is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU General Public License for more details.
 #
 # You should have received a copy of the GNU General Public License
 # along with ASRT.  If not, see <https://www.gnu.org/licenses/>.
 # ============================================================================
 """
@author: nl8590687
 一个配置为可用于ASRT语音识别系统的录音程序
 """
 import wave
 import pyaudio
 def record_wave(wavfile,
                duration=10,
                channels=1,
                sampling_rate=16000,
                sampling_bits=16,
                chunk_size=1024,
                keyboard_interrupt='keep_audio'):
    """Record audio using the default audio device by PyAudio and Wave"""
    format_ = None
    if sampling_bits == 8:
        format_ = pyaudio.paInt8
    if sampling_bits == 16:
        format_ = pyaudio.paInt16
    elif sampling_bits == 24:
        format_ = pyaudio.paInt24
    elif sampling_bits == 32:
        format_ = pyaudio.paFloat32
    else:
        raise ValueError('Unsupported sampling bits')
    audio = pyaudio.PyAudio()
    stream = audio.open(format=format_,
                        channels=channels,
                        rate=sampling_rate,
                        input=True,
                        frames_per_buffer=chunk_size)
    frames = []
    print('Start to record with {}-seconds audio\n'
          'Type Ctrl-C to get an early stop (a shorter audio)'
          .format(duration))
    try:
        for _ in range(0, int(sampling_rate / chunk_size * duration)):
            data = stream.read(chunk_size)
            frames.append(data)
            print('.', end='', flush=True)
    except KeyboardInterrupt:
        if keyboard_interrupt == 'keep_audio':
            used_seconds = int(len(frames) * chunk_size / sampling_rate)
            print('\n-*- Early stop with {} seconds'.format(used_seconds))
        else:
            raise
    print('\nRecording finished')
    stream.stop_stream()
    stream.close()
    audio.terminate()
    print('Convert PCM frames to WAV... ', end='')
    wavfp = wave.open(wavfile, 'wb')
    wavfp.setnchannels(channels)
    wavfp.setsampwidth(audio.get_sample_size(format_))
    wavfp.setframerate(sampling_rate)
    wavfp.writeframes(b''.join(frames))
    wavfp.close()
    print('OK')
 if __name__ == "__main__":
    from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
    parser = ArgumentParser(description='Simple Wave Audio Recorder',
                            formatter_class=ArgumentDefaultsHelpFormatter)
    parser.add_argument('-d', '--duration', type=int,
                        default=10, help='maximum duration in seconds')
    parser.add_argument('-r', '--sampling-rate', type=int,
                        default=16000, help='sampling rate')
    parser.add_argument('-b', '--sampling-bits', type=int,
                        default=16, choices=(8, 16, 24, 32), help='sampling bits')
    parser.add_argument('-c', '--channels', type=int,
                        default=1, help='audio channels')
    parser.add_argument('output', nargs='?', default='output.wav',
                        help='audio file to store audio stream')
    args = parser.parse_args()
    record_wave(args.output, duration=args.duration,
                channels=args.channels,
                sampling_bits=args.sampling_bits,
                sampling_rate=args.sampling_rate)
--- a/train_speech_model.py
+++ b/train_speech_model.py
@ -0,0 +1,53 @@
 # !/usr/bin/env python3
 # -*- coding: utf-8 -*-
 #
 # Copyright 2016-2099 Ailemon.net
 #
 # This file is part of ASRT Speech Recognition Tool.
 #
 # ASRT is free software: you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
 # the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 # ASRT is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU General Public License for more details.
 #
 # You should have received a copy of the GNU General Public License
 # along with ASRT.  If not, see <https://www.gnu.org/licenses/>.
 # ============================================================================
 """
@author: nl8590687
 用于训练语音识别系统语音模型的程序
 """
 import os
 from tensorflow.keras.optimizers import Adam
 from speech_model import ModelSpeech
 from model_zoo.speech_model.keras_backend import SpeechModel251BN
 from data_loader import DataLoader
 from speech_features import SpecAugment
 os.environ["CUDA_VISIBLE_DEVICES"] = "0"
 AUDIO_LENGTH = 1600
 AUDIO_FEATURE_LENGTH = 200
 CHANNELS = 1
 # 默认输出的拼音的表示大小是1428，即1427个拼音+1个空白块
 OUTPUT_SIZE = 1428
 sm251bn = SpeechModel251BN(
    input_shape=(AUDIO_LENGTH, AUDIO_FEATURE_LENGTH, CHANNELS),
    output_size=OUTPUT_SIZE
 )
 feat = SpecAugment()
 train_data = DataLoader('train')
 opt = Adam(learning_rate=0.0001, beta_1=0.9, beta_2=0.999, decay=0.0, epsilon=10e-8)
 ms = ModelSpeech(sm251bn, feat, max_label_length=64)
 # ms.load_model('save_models/' + sm251bn.get_model_name() + '.model.h5')
 ms.train_model(optimizer=opt, data_loader=train_data,
               epochs=50, save_step=1, batch_size=16, last_epoch=0)
 ms.save_model('save_models/' + sm251bn.get_model_name())
--- a/utils/config.py
+++ b/utils/config.py
@ -0,0 +1,74 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 #
 # Copyright 2016-2099 Ailemon.net
 #
 # This file is part of ASRT Speech Recognition Tool.
 #
 # ASRT is free software: you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
 # the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 # ASRT is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU General Public License for more details.
 #
 # You should have received a copy of the GNU General Public License
 # along with ASRT.  If not, see <https://www.gnu.org/licenses/>.
 # ============================================================================
 """
@author: nl8590687
 加载ASRT配置文件相关
 """
 import json
 DEFAULT_CONFIG_FILENAME = 'asrt_config.json'
 _config_dict = None
 _pinyin_dict = None
 _pinyin_list = None
 def load_config_file(filename: str) -> dict:
    """
    加载json配置文件
    参数：\\
        filename: 文件名
    返回：\\
        配置信息字典
    """
    global _config_dict
    if _config_dict is not None:
        return _config_dict
    with open(filename, 'r', encoding="utf-8") as file_pointer:
        _config_dict = json.load(file_pointer)
    return _config_dict
 def load_pinyin_dict(filename: str) -> tuple:
    """
    加载拼音列表和拼音字典
    拼音列表：用于下标索引转拼音 \\
    拼音字典：用于拼音索引转下标
    """
    global _pinyin_list, _pinyin_dict
    if _pinyin_dict is not None and _pinyin_list is not None:
        return _pinyin_list, _pinyin_dict
    _pinyin_list = list()
    _pinyin_dict = dict()
    with open(filename, 'r', encoding='utf-8') as file_pointer:
        lines = file_pointer.read().split('\n')
    for line in lines:
        if len(line) == 0:
            continue
        tokens = line.split('\t')
        _pinyin_list.append(tokens[0])
        _pinyin_dict[tokens[0]] = len(_pinyin_list) - 1
    return _pinyin_list, _pinyin_dict
--- a/utils/ops.py
+++ b/utils/ops.py
@ -0,0 +1,181 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 #
 # Copyright 2016-2099 Ailemon.net
 #
 # This file is part of ASRT Speech Recognition Tool.
 #
 # ASRT is free software: you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
 # the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 # ASRT is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU General Public License for more details.
 #
 # You should have received a copy of the GNU General Public License
 # along with ASRT.  If not, see <https://www.gnu.org/licenses/>.
 # ============================================================================
 """
@author: nl8590687
 一些常用操作函数的定义
 """
 import wave
 import difflib
 import matplotlib.pyplot as plt
 import numpy as np
 def read_wav_data(filename: str) -> tuple:
    """
    读取一个wav文件，返回声音信号的时域谱矩阵和播放时间
    """
    wav = wave.open(filename,"rb") # 打开一个wav格式的声音文件流
    num_frame = wav.getnframes() # 获取帧数
    num_channel=wav.getnchannels() # 获取声道数
    framerate=wav.getframerate() # 获取帧速率
    num_sample_width=wav.getsampwidth() # 获取实例的比特宽度，即每一帧的字节数
    str_data = wav.readframes(num_frame) # 读取全部的帧
    wav.close() # 关闭流
    wave_data = np.fromstring(str_data, dtype = np.short) # 将声音文件数据转换为数组矩阵形式
    wave_data.shape = -1, num_channel # 按照声道数将数组整形，单声道时候是一列数组，双声道时候是两列的矩阵
    wave_data = wave_data.T # 将矩阵转置
    return wave_data, framerate, num_channel, num_sample_width
 def read_wav_bytes(filename: str) -> tuple:
    """
    读取一个wav文件，返回声音信号的时域谱矩阵和播放时间
    """
    wav = wave.open(filename,"rb") # 打开一个wav格式的声音文件流
    num_frame = wav.getnframes() # 获取帧数
    num_channel=wav.getnchannels() # 获取声道数
    framerate=wav.getframerate() # 获取帧速率
    num_sample_width=wav.getsampwidth() # 获取实例的比特宽度，即每一帧的字节数
    str_data = wav.readframes(num_frame) # 读取全部的帧
    wav.close() # 关闭流
    return str_data, framerate, num_channel, num_sample_width
 def get_edit_distance(str1, str2) -> int:
    """
    计算两个串的编辑距离，支持str和list类型
    """
    leven_cost = 0
    sequence_match = difflib.SequenceMatcher(None, str1, str2)
    for tag, index_1, index_2, index_j1, index_j2 in sequence_match.get_opcodes():
        if tag == 'replace':
            leven_cost += max(index_2-index_1, index_j2-index_j1)
        elif tag == 'insert':
            leven_cost += (index_j2-index_j1)
        elif tag == 'delete':
            leven_cost += (index_2-index_1)
    return leven_cost
 def ctc_decode_delete_tail_blank(ctc_decode_list):
    """
    处理CTC解码后序列末尾余留的空白元素，删除掉
    """
    p = 0
    while p < len(ctc_decode_list) and ctc_decode_list[p] != -1:
        p += 1
    return ctc_decode_list[0:p]
 def visual_1D(points_list, frequency=1):
    """
    可视化1D数据
    """
    # 首先创建绘图网格，1个子图
    fig, ax = plt.subplots(1)
    x = np.linspace(0, len(points_list)-1, len(points_list)) / frequency
    # 在对应对象上调用 plot() 方法
    ax.plot(x, points_list)
    fig.show()
 def visual_2D(img):
    """
    可视化2D数据
    """
    plt.subplot(111)
    plt.imshow(img)
    plt.colorbar(cax=None, ax=None, shrink=0.5)
    plt.show() 
 def decode_wav_bytes(samples_data: bytes, channels: int = 1, byte_width: int = 2) -> list:
    """
    解码wav格式样本点字节流，得到numpy数组
    """
    numpy_type = np.short
    if byte_width == 4:
        numpy_type = np.int
    elif byte_width != 2:
        raise Exception('error: unsurpport byte width `' + str(byte_width) + '`')
    wave_data = np.fromstring(samples_data, dtype=numpy_type)  # 将声音文件数据转换为数组矩阵形式
    wave_data.shape = -1, channels  # 按照声道数将数组整形，单声道时候是一列数组，双声道时候是两列的矩阵
    wave_data = wave_data.T  # 将矩阵转置
    return wave_data
 def get_symbol_dict(dict_filename):
    """
    读取拼音汉字的字典文件
    返回读取后的字典
    """
    txt_obj = open(dict_filename, 'r', encoding='UTF-8') # 打开文件并读入
    txt_text = txt_obj.read()
    txt_obj.close()
    txt_lines = txt_text.split('\n') # 文本分割
    dic_symbol = {}  # 初始化符号字典
    for i in txt_lines:
        list_symbol = []  # 初始化符号列表
        if i != '':
            txt_l=i.split('\t')
            pinyin = txt_l[0]
            for word in txt_l[1]:
                list_symbol.append(word)
        dic_symbol[pinyin] = list_symbol
    return dic_symbol
 def get_language_model(model_language_filename):
    """
    读取语言模型的文件
    返回读取后的模型
    """
    txt_obj = open(model_language_filename, 'r', encoding='UTF-8')  # 打开文件并读入
    txt_text = txt_obj.read()
    txt_obj.close()
    txt_lines = txt_text.split('\n')  # 文本分割
    dic_model = {}  # 初始化符号字典
    for i in txt_lines:
        if i != '':
            txt_l = i.split('\t')
            if len(txt_l) == 1:
                continue
            dic_model[txt_l[0]] = txt_l[1]
    return dic_model
 def ctc_decode_stream(tokens):
    i = 0
    while i < len(tokens):
        while i+1 < len(tokens) and tokens[i] == tokens[i+1]:
            i += 1
        if i+1 == len(tokens) and tokens[i] != -1:
            return tokens[0], []
        if tokens[i] != -1:
            return tokens[i], tokens[i+1:]
        i += 1
    return -1, []
--- a/utils/ops_test.py
+++ b/utils/ops_test.py
@ -0,0 +1,121 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 #
 # Copyright 2016-2099 Ailemon.net
 #
 # This file is part of ASRT Speech Recognition Tool.
 #
 # ASRT is free software: you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
 # the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 # ASRT is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU General Public License for more details.
 #
 # You should have received a copy of the GNU General Public License
 # along with ASRT.  If not, see <https://www.gnu.org/licenses/>.
 # ============================================================================
 """
@author: nl8590687
 ops.py单元测试
 """
 import pytest
 from ops import get_edit_distance, ctc_decode_delete_tail_blank, ctc_decode_stream
 class TestGetEditDistance:
    def test_1(self):
        examle_input = ["abc", "abc"]
        examle_output = 0
        result = get_edit_distance(examle_input[0], examle_input[1])
        assert result == examle_output
    def test_2(self):
        examle_input = ["abc", "adc"]
        examle_output = 1
        result = get_edit_distance(examle_input[0], examle_input[1])
        assert result == examle_output
    def test_3(self):
        examle_input = ["abc", "a"]
        examle_output = 2
        result = get_edit_distance(examle_input[0], examle_input[1])
        assert result == examle_output
    def test_4(self):
        examle_input = ["abc", "addce"]
        examle_output = 3
        result = get_edit_distance(examle_input[0], examle_input[1])
        assert result == examle_output
    def test_5(self):
        examle_input = ["abc", ""]
        examle_output = 3
        result = get_edit_distance(examle_input[0], examle_input[1])
        assert result == examle_output
    def test_6(self):
        examle_input = ["", ""]
        examle_output = 0
        result = get_edit_distance(examle_input[0], examle_input[1])
        assert result == examle_output
 class TestCtcDecodeDeleteTailBlank:
    def test_1(self):
        examle_input = [1, 2, 3, 4, 5, -1, -1, -1, -1, -1, -1]
        examle_output = [1, 2, 3, 4, 5]
        result = ctc_decode_delete_tail_blank(examle_input)
        assert result == examle_output
    def test_2(self):
        examle_input = [1, 2, 3, 4, 5, -1]
        examle_output = [1, 2, 3, 4, 5]
        result = ctc_decode_delete_tail_blank(examle_input)
        assert result == examle_output
    def test_3(self):
        examle_input = [1, 2, 3, 4, 5]
        examle_output = [1, 2, 3, 4, 5]
        result = ctc_decode_delete_tail_blank(examle_input)
        assert result == examle_output
    def test_4(self):
        examle_input = [-1, -1, -1, -1]
        examle_output = []
        result = ctc_decode_delete_tail_blank(examle_input)
        assert result == examle_output
    def test_5(self):
        examle_input = [-1]
        examle_output = []
        result = ctc_decode_delete_tail_blank(examle_input)
        assert result == examle_output
 class TestCtcDecodeStream:
    def test_1(self):
        examle_input = [-1, -1, -1, 1, 1, 1, -1, -1, 2, 2, 2, 3, 3, -1, -1, -1]
        examle_output = [1, 2, 3, -1]
        result = []
        res, tmp = ctc_decode_stream(examle_input)
        result.append(res)
        while len(tmp) > 0:
            res, tmp = ctc_decode_stream(tmp)
            result.append(res)
        assert result == examle_output
    def test_2(self):
        examle_input = [-1, -1, -1, -1, -1]
        examle_output = [-1]
        result = []
        res, tmp = ctc_decode_stream(examle_input)
        result.append(res)
        while len(tmp) > 0:
            res, tmp = ctc_decode_stream(tmp)
            result.append(res)
        assert result == examle_output
--- a/utils/thread.py
+++ b/utils/thread.py
@ -0,0 +1,55 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 #
 # Copyright 2016-2099 Ailemon.net
 #
 # This file is part of ASRT Speech Recognition Tool.
 #
 # ASRT is free software: you can redistribute it and/or modify
 # it under the terms of the GNU General Public License as published by
 # the Free Software Foundation, either version 3 of the License, or
 # (at your option) any later version.
 # ASRT is distributed in the hope that it will be useful,
 # but WITHOUT ANY WARRANTY; without even the implied warranty of
 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 # GNU General Public License for more details.
 #
 # You should have received a copy of the GNU General Public License
 # along with ASRT.  If not, see <https://www.gnu.org/licenses/>.
 # ============================================================================
 """
@author: nl8590687
 解决python生成器多线程的线程安全问题
 """
 import threading
 '''
    A generic iterator and generator that takes any iterator and wrap it to make it thread safe.
    This method was introducted by Anand Chitipothu in http://anandology.com/blog/using-iterators-and-generators/
    but was not compatible with python 3. This modified version is now compatible and works both in python 2.8 and 3.0 
 '''
 class threadsafe_iter:
    """Takes an iterator/generator and makes it thread-safe by
    serializing call to the `next` method of given iterator/generator.
    """
    def __init__(self, it):
        self.it = it
        self.lock = threading.Lock()
    def __iter__(self):
        return self
    def __next__(self):
        with self.lock:
            return self.it.__next__()
 def threadsafe_generator(f):
    """A decorator that takes a generator function and makes it thread-safe.
    """
    def g(*a, **kw):
        return threadsafe_iter(f(*a, **kw))
    return g