优化data_generator代码
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@ -172,15 +172,15 @@ class DataSpeech():
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需要再修改。。。
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'''
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labels = []
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for i in range(0,batch_size):
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#input_length.append([1500])
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labels.append([0.0])
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#labels = []
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#for i in range(0,batch_size):
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# #input_length.append([1500])
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# labels.append([0.0])
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labels = np.array(labels, dtype = np.float)
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#labels = np.array(labels, dtype = np.float)
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labels = np.zeros((batch_size,1), dtype = np.float)
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#print(input_length,len(input_length))
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while True:
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@ -213,7 +213,7 @@ class DataSpeech():
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label_length.append([len(data_labels)])
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label_length = np.matrix(label_length)
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input_length = np.array(input_length).T
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input_length = np.array([input_length]).T
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#input_length = np.array(input_length)
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#print('input_length:\n',input_length)
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#X=X.reshape(batch_size, audio_length, 200, 1)
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