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文件名称:CNN+CTC语音识别算法

介绍说明--下载内容来自于网络,使用问题请自行百度

这个程序是用的一个深度卷积神经网络来做的,整个程序分为两部分,声学模型和语言模型,效果还是可以的。
(系统自动生成,下载前可以参看下载内容)

下载文件列表

压缩包 : ASR_CNN.zip 列表
ASR_CNN/
ASR_CNN/.idea/
ASR_CNN/.idea/dbnavigator.xml
ASR_CNN/.idea/encodings.xml
ASR_CNN/.idea/inspectionProfiles/
ASR_CNN/.idea/inspectionProfiles/profiles_settings.xml
ASR_CNN/.idea/misc.xml
ASR_CNN/.idea/modules.xml
ASR_CNN/.idea/other.xml
ASR_CNN/.idea/SpeechRecognition.iml
ASR_CNN/.idea/workspace.xml
ASR_CNN/asrserver.py
ASR_CNN/Client.py
ASR_CNN/data.syllable.txt
ASR_CNN/data.wav.txt
ASR_CNN/dict.txt
ASR_CNN/general_function/
ASR_CNN/general_function/b/
ASR_CNN/general_function/b/dict.txt
ASR_CNN/general_function/dict.txt
ASR_CNN/general_function/file_dict.py
ASR_CNN/general_function/file_wav.py
ASR_CNN/general_function/gen_func.py
ASR_CNN/general_function/muti_gpu.py
ASR_CNN/general_function/test1.wav
ASR_CNN/general_function/__init__.py
ASR_CNN/general_function/__pycache__/
ASR_CNN/general_function/__pycache__/file_dict.cpython-35.pyc
ASR_CNN/general_function/__pycache__/file_dict.cpython-37.pyc
ASR_CNN/general_function/__pycache__/file_wav.cpython-35.pyc
ASR_CNN/general_function/__pycache__/file_wav.cpython-37.pyc
ASR_CNN/general_function/__pycache__/gen_func.cpython-35.pyc
ASR_CNN/general_function/__pycache__/gen_func.cpython-37.pyc
ASR_CNN/general_function/__pycache__/__init__.cpython-35.pyc
ASR_CNN/general_function/__pycache__/__init__.cpython-37.pyc
ASR_CNN/LanguageModel.py
ASR_CNN/model_language/
ASR_CNN/model_language/dic_pinyin.txt
ASR_CNN/model_language/language_model1.txt
ASR_CNN/model_language/language_model2.txt
ASR_CNN/model_speech/
ASR_CNN/model_speech/speech_model251_e_0_step_182000.model
ASR_CNN/model_speech/speech_model251_e_0_step_182000.model.base
ASR_CNN/pac/
ASR_CNN/package/
ASR_CNN/package/pinyin2hanzi.py
ASR_CNN/package/pred_recog.txt
ASR_CNN/package/resource/
ASR_CNN/package/resource/1.txt
ASR_CNN/package/resource/cmd.txt
ASR_CNN/package/resource/hb_name.txt
ASR_CNN/package/resource/hb_num.txt
ASR_CNN/package/resource/num2pinyin.txt
ASR_CNN/package/__init__.py
ASR_CNN/package/__pycache__/
ASR_CNN/package/__pycache__/pinyin2hanzi.cpython-35.pyc
ASR_CNN/package/__pycache__/pinyin2hanzi.cpython-37.pyc
ASR_CNN/package/__pycache__/__init__.cpython-35.pyc
ASR_CNN/package/__pycache__/__init__.cpython-37.pyc
ASR_CNN/pac/A2_100.wav
ASR_CNN/pac/A2_101.wav
ASR_CNN/pac/A2_102.wav
ASR_CNN/pac/A2_103.wav
ASR_CNN/pac/A2_104.wav
ASR_CNN/pac/A2_105.wav
ASR_CNN/pac/A2_106.wav
ASR_CNN/pac/A2_107.wav
ASR_CNN/pac/A2_108.wav
ASR_CNN/pac/A2_109.wav
ASR_CNN/pac/A2_110.wav
ASR_CNN/pac/A2_111.wav
ASR_CNN/pac/A2_112.wav
ASR_CNN/pac/A2_113.wav
ASR_CNN/pac/A2_114.wav
ASR_CNN/pac/A2_115.wav
ASR_CNN/pac/A2_116.wav
ASR_CNN/pac/A2_117.wav
ASR_CNN/pac/A2_118.wav
ASR_CNN/pac/A2_119.wav
ASR_CNN/pac/A2_120.wav
ASR_CNN/pac/A2_121.wav
ASR_CNN/pac/A2_122.wav
ASR_CNN/pac/A2_123.wav
ASR_CNN/pac/A2_124.wav
ASR_CNN/pac/A2_125.wav
ASR_CNN/pac/A2_126.wav
ASR_CNN/pac/A2_127.wav
ASR_CNN/pac/A2_128.wav
ASR_CNN/pac/A2_129.wav
ASR_CNN/pac/A2_130.wav
ASR_CNN/pac/A2_131.wav
ASR_CNN/pac/A2_132.wav
ASR_CNN/pac/A2_133.wav
ASR_CNN/pac/A2_134.wav
ASR_CNN/pac/A2_135.wav
ASR_CNN/pac/A2_136.wav
ASR_CNN/pac/A2_137.wav
ASR_CNN/pac/A2_138.wav
ASR_CNN/pac/A2_139.wav
ASR_CNN/pac/A2_140.wav
ASR_CNN/pac/A2_141.wav
ASR_CNN/pac/A2_142.wav
ASR_CNN/pac/A2_143.wav
ASR_CNN/pac/A2_144.wav
ASR_CNN/pac/A2_145.wav
ASR_CNN/pac/A2_146.wav
ASR_CNN/pac/A2_147.wav
ASR_CNN/pac/A2_148.wav
ASR_CNN/pac/A2_149.wav
ASR_CNN/pac/A2_150.wav
ASR_CNN/pac/A2_151.wav
ASR_CNN/pac/A2_152.wav
ASR_CNN/pac/A2_153.wav
ASR_CNN/pac/A2_154.wav
ASR_CNN/pac/A2_155.wav
ASR_CNN/pac/A2_156.wav
ASR_CNN/pac/A2_157.wav
ASR_CNN/pac/A2_158.wav
ASR_CNN/pac/A2_159.wav
ASR_CNN/pac/A2_160.wav
ASR_CNN/pac/A2_161.wav
ASR_CNN/pac/A2_162.wav
ASR_CNN/pac/A2_163.wav
ASR_CNN/pac/A2_164.wav
ASR_CNN/pac/A2_165.wav
ASR_CNN/pac/A2_166.wav
ASR_CNN/pac/A2_167.wav
ASR_CNN/pac/A2_168.wav
ASR_CNN/pac/A2_169.wav
ASR_CNN/pac/A2_170.wav
ASR_CNN/pac/A2_171.wav
ASR_CNN/pac/A2_172.wav
ASR_CNN/pac/A2_173.wav
ASR_CNN/pac/A2_174.wav
ASR_CNN/pac/A2_175.wav
ASR_CNN/pac/A2_176.wav
ASR_CNN/pac/A2_177.wav
ASR_CNN/pac/A2_178.wav
ASR_CNN/pac/A2_179.wav
ASR_CNN/pac/A2_180.wav
ASR_CNN/pac/A2_181.wav
ASR_CNN/pac/A2_182.wav
ASR_CNN/pac/A2_183.wav
ASR_CNN/pac/A2_184.wav
ASR_CNN/pac/A2_185.wav
ASR_CNN/pac/A2_186.wav
ASR_CNN/pac/A2_187.wav
ASR_CNN/pac/A2_188.wav
ASR_CNN/pac/A2_189.wav
ASR_CNN/pac/A2_190.wav
ASR_CNN/pac/A2_191.wav
ASR_CNN/pac/A2_192.wav
ASR_CNN/pac/A2_193.wav
ASR_CNN/pac/A2_194.wav
ASR_CNN/pac/A2_195.wav
ASR_CNN/pac/A2_196.wav
ASR_CNN/pac/A2_197.wav
ASR_CNN/pac/A2_198.wav
ASR_CNN/pac/A2_199.wav
ASR_CNN/pac/data.syllable.txt
ASR_CNN/pac/data.wav.txt
ASR_CNN/pac/dict.txt
ASR_CNN/pac/st-cmds/
ASR_CNN/pac/st-cmds/test.syllable.txt
ASR_CNN/pac/st-cmds/test.wav.txt
ASR_CNN/pac/st-cmds/train.syllable.txt
ASR_CNN/pac/st-cmds/train.wav.txt
ASR_CNN/pac/thchs30/
ASR_CNN/pac/thchs30/test.syllable.txt
ASR_CNN/pac/thchs30/test.wav.txt
ASR_CNN/pac/thchs30/train.syllable.txt
ASR_CNN/pac/thchs30/train.wav.txt
ASR_CNN/readdata24.py
ASR_CNN/SpeechModel.py
ASR_CNN/step251.txt
ASR_CNN/__pycache__/
ASR_CNN/__pycache__/LanguageModel.cpython-35.pyc
ASR_CNN/__pycache__/LanguageModel.cpython-37.pyc
ASR_CNN/__pycache__/LanguageModel2.cpython-35.pyc
ASR_CNN/_

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