2018-04-25 19:50:32 +08:00
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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@author: nl8590687
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用于测试整个一套语音识别系统的程序
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语音模型 + 语言模型
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"""
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import platform as plat
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from SpeechModel22 import ModelSpeech
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from LanguageModel import ModelLanguage
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datapath = ''
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modelpath = 'model_speech'
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system_type = plat.system() # 由于不同的系统的文件路径表示不一样，需要进行判断
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if(system_type == 'Windows'):
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datapath = 'E:\\语音数据集'
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modelpath = modelpath + '\\'
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elif(system_type == 'Linux'):
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datapath = 'dataset'
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modelpath = modelpath + '/'
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else:
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print('*[Message] Unknown System\n')
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datapath = 'dataset'
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modelpath = modelpath + '/'
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ms = ModelSpeech(datapath)
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2018-05-02 11:51:44 +08:00
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ms.LoadModel(modelpath + 'm22_2\\speech_model22_e_0_step_257000.model')
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2018-04-25 19:50:32 +08:00
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#ms.TestModel(datapath, str_dataset='test', data_count = 64, out_report = True)
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2018-05-02 11:51:44 +08:00
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r = ms.RecognizeSpeech_FromFile('E:\语音数据集\ST-CMDS-20170001_1-OS\\20170001P00241I0052.wav')
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2018-04-25 19:50:32 +08:00
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#r = ms.RecognizeSpeech_FromFile('E:\\语音数据集\\wav\\train\\A11\\A11_167.WAV')
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#r = ms.RecognizeSpeech_FromFile('E:\\语音数据集\\wav\\test\\D4\\D4_750.wav')
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print('*[提示] 语音识别结果：\n',r)
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ml = ModelLanguage('model_language')
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ml.LoadModel()
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#str_pinyin = ['zhe4','zhen1','shi4','ji2', 'hao3','de5']
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#str_pinyin = ['jin1', 'tian1', 'shi4', 'xing1', 'qi1', 'san1']
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#str_pinyin = ['ni3', 'hao3','a1']
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str_pinyin = r
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r = ml.SpeechToText(str_pinyin)
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print('语音转文字结果：\n',r)
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