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