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| ''' | |
| Author: wuxulong19950206 [email protected] | |
| Date: 2024-03-09 15:53:33 | |
| LastEditors: wuxulong19950206 [email protected] | |
| LastEditTime: 2024-03-10 19:43:46 | |
| FilePath: \ASRT_SpeechRecognition\train_speech_model.py | |
| Description: 这是默认设置,请设置`customMade`, 打开koroFileHeader查看配置 进行设置: https://github.com/OBKoro1/koro1FileHeader/wiki/%E9%85%8D%E7%BD%AE | |
| ''' | |
| # !/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 = 2884 | |
| 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\SpeechModel251bn\SpeechModel251bn_epoch17.model.h5") | |
| ms.train_model(optimizer=opt, data_loader=train_data, | |
| epochs=50, save_step=1, batch_size=1, last_epoch=0) | |
| ms.save_model('save_models/' + sm251bn.get_model_name()) | |