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ASRT_SpeechRecognition
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优化data_generator代码

This commit is contained in:
nl 2019-01-19 11:32:52 +08:00
parent fd150c047e
commit 296ebf0ddf
1 changed files with 7 additions and 7 deletions
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14
readdata24.py
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@ -172,15 +172,15 @@ class DataSpeech():
需要再修改。。。 需要再修改。。。
''' '''
labels = [] #labels = []
for i in range(0,batch_size): #for i in range(0,batch_size):
#input_length.append([1500]) # #input_length.append([1500])
labels.append([0.0]) # labels.append([0.0])
labels = np.array(labels, dtype = np.float) #labels = np.array(labels, dtype = np.float)
labels = np.zeros((batch_size,1), dtype = np.float)
#print(input_length,len(input_length)) #print(input_length,len(input_length))
while True: while True:
@ -213,7 +213,7 @@ class DataSpeech():
label_length.append([len(data_labels)]) label_length.append([len(data_labels)])
label_length = np.matrix(label_length) label_length = np.matrix(label_length)
input_length = np.array(input_length).T input_length = np.array([input_length]).T
#input_length = np.array(input_length) #input_length = np.array(input_length)
#print('input_length:\n',input_length) #print('input_length:\n',input_length)
#X=X.reshape(batch_size, audio_length, 200, 1) #X=X.reshape(batch_size, audio_length, 200, 1)