Python load_batched_data Examples

Example #1

File: timit_train.py Project: charlotte0829/Automatic_Speech_Recognition

 def load_data(self, args, mode, type):
     if mode == 'train':
         return load_batched_data(train_mfcc_dir, train_label_dir,
                                  batch_size, mode, type)
     elif mode == 'test':
         return load_batched_data(test_mfcc_dir, test_label_dir, batch_size,
                                  mode, type)
     else:
         raise TypeError('mode should be train or test.')

Example #2

File: timit_train.py Project: lkzju/Automatic_Speech_Recognition

 def load_data(self, args, mode, type):
     if mode == 'TRAIN':
         return load_batched_data(train_mfcc_dir, train_label_dir,
                                  batch_size, mode, type)
     elif mode == 'TEST':
         return load_batched_data(test_mfcc_dir, test_label_dir, batch_size,
                                  mode, type)
     else:
         raise TypeError('mode should be TRAIN or TEST.')

Example #3

 def load_data(self, feature_dir, label_dir, mode, level):
     return load_batched_data(feature_dir, label_dir, batch_size, mode,
                              level)