fix bug
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@ -34,7 +34,7 @@ class ModelSpeech(): # 语音模型类
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初始化
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默认输出的拼音的表示大小是1283,即1282个拼音+1个空白块
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'''
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MS_OUTPUT_SIZE = 1417
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MS_OUTPUT_SIZE = 1419
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self.MS_OUTPUT_SIZE = MS_OUTPUT_SIZE # 神经网络最终输出的每一个字符向量维度的大小
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#self.BATCH_SIZE = BATCH_SIZE # 一次训练的batch
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self.label_max_string_length = 64
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@ -87,7 +87,7 @@ class ModelSpeech(): # 语音模型类
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#layer_h5 = LSTM(256, activation='relu', use_bias=True, return_sequences=True)(layer_h4) # LSTM层
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#layer_h6 = Dropout(0.2)(layer_h5) # 随机中断部分神经网络连接,防止过拟合
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layer_h8 = Dense(256, activation="relu", use_bias=True, kernel_initializer='he_normal')(layer_h7) # 全连接层
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layer_h9 = Dense(1417, use_bias=True, kernel_initializer='he_normal')(layer_h8) # 全连接层
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layer_h9 = Dense(self.MS_OUTPUT_SIZE, use_bias=True, kernel_initializer='he_normal')(layer_h8) # 全连接层
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y_pred = Activation('softmax', name='Activation0')(layer_h9)
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model_data = Model(inputs = input_data, outputs = y_pred)
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1
dict.txt
1
dict.txt
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@ -703,6 +703,7 @@ nin2 您
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ning2 柠狞凝宁拧咛
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ning3 拧
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ning4 拧泞宁
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ni1 妞
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niu2 牛
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niu3 扭钮纽
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nin4 拗
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@ -74,9 +74,9 @@ class DataSpeech():
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filename_symbollist_thchs30 = 'thchs30' + self.slash + 'train.syllable.txt'
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filename_symbollist_stcmds = 'st-cmds' + self.slash + 'train.syllable.txt'
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elif(self.type=='dev'):
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filename_wavlist_thchs30 = 'thchs30' + self.slash + 'dev.wav.lst'
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filename_wavlist_thchs30 = 'thchs30' + self.slash + 'cv.wav.lst'
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filename_wavlist_stcmds = 'st-cmds' + self.slash + 'dev.wav.txt'
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filename_symbollist_thchs30 = 'thchs30' + self.slash + 'dev.syllable.txt'
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filename_symbollist_thchs30 = 'thchs30' + self.slash + 'cv.syllable.txt'
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filename_symbollist_stcmds = 'st-cmds' + self.slash + 'dev.syllable.txt'
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elif(self.type=='test'):
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filename_wavlist_thchs30 = 'thchs30' + self.slash + 'test.wav.lst'
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