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55 lines
1.8 KiB
55 lines
1.8 KiB
# !/usr/bin/env python3 |
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# -*- coding: utf-8 -*- |
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# |
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# Copyright 2016-2099 Ailemon.net |
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# |
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# This file is part of ASRT Speech Recognition Tool. |
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# |
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# ASRT is free software: you can redistribute it and/or modify |
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# it under the terms of the GNU General Public License as published by |
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# the Free Software Foundation, either version 3 of the License, or |
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# (at your option) any later version. |
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# ASRT is distributed in the hope that it will be useful, |
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# but WITHOUT ANY WARRANTY; without even the implied warranty of |
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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# GNU General Public License for more details. |
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# |
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# You should have received a copy of the GNU General Public License |
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# along with ASRT. If not, see <https://www.gnu.org/licenses/>. |
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# ============================================================================ |
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""" |
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@author: nl8590687 |
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用于通过ASRT语音识别系统预测一次语音文件的程序 |
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""" |
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import os |
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from speech_model import ModelSpeech |
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from model_zoo.speech_model.keras_backend import SpeechModel251BN |
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from speech_features import Spectrogram |
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from language_model3 import ModelLanguage |
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os.environ["CUDA_VISIBLE_DEVICES"] = "0" |
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AUDIO_LENGTH = 1600 |
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AUDIO_FEATURE_LENGTH = 200 |
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CHANNELS = 1 |
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# 默认输出的拼音的表示大小是1428，即1427个拼音+1个空白块 |
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OUTPUT_SIZE = 1428 |
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sm251bn = SpeechModel251BN( |
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input_shape=(AUDIO_LENGTH, AUDIO_FEATURE_LENGTH, CHANNELS), |
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output_size=OUTPUT_SIZE |
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) |
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feat = Spectrogram() |
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ms = ModelSpeech(sm251bn, feat, max_label_length=64) |
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ms.load_model('save_models/' + sm251bn.get_model_name() + '.model.h5') |
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res = ms.recognize_speech_from_file('filename.wav') |
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print('*[提示] 声学模型语音识别结果：\n', res) |
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ml = ModelLanguage('model_language') |
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ml.load_model() |
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str_pinyin = res |
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res = ml.pinyin_to_text(str_pinyin) |
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print('语音识别最终结果：\n', res)
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