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Sorry , I cannot reprocess the dataset,using thchs I cannot solve this problem. #315
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Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: Leo Ma <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Use inv_spectrogram instead of inv_spectrogram_tensorflow Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Less dataset and less steps to learn to align. Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
Signed-off-by: begeekmyfriend <begeekmyfriend@gmail.com>
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Traceback (most recent call last):
File "C:\Users\72970\Anaconda3\envs\tensorflow\lib\concurrent\futures\process.py", line 175, in _process_worker
r = call_item.fn(*call_item.args, **call_item.kwargs)
File "C:\Users\72970\Desktop\1\datasets\thchs30.py", line 74, in _process_utterance
mel_spectrogram = audio.melspectrogram(wav).astype(np.float32)
File "C:\Users\72970\Desktop\1\util\audio.py", line 66, in melspectrogram
S = _amp_to_db(_linear_to_mel(np.abs(D))) - hparams.ref_level_db
File "C:\Users\72970\Desktop\1\util\audio.py", line 143, in _linear_to_mel
_mel_basis = _build_mel_basis()
File "C:\Users\72970\Desktop\1\util\audio.py", line 149, in _build_mel_basis
return librosa.filters.mel(hparams.sample_rate, n_fft, n_mels=hparams.num_mels, fmin=hparams.fmin, fmax=hparams.fmax)
File "C:\Users\72970\Anaconda3\envs\tensorflow\lib\site-packages\librosa\filters.py", line 247, in mel
lower = -ramps[i] / fdiff[i]
ValueError: operands could not be broadcast together with shapes (1,2049) (0,)