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Added padding at the begining to avoid tf STFT reconstruction erro

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romi1502
2020-07-03 17:25:58 +02:00
parent 39af9502ab
commit e8647e3f91
1 changed files with 9 additions and 2 deletions
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11
spleeter/model/__init__.py
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@@ -275,9 +275,16 @@ class EstimatorSpecBuilder(object):
spec_name = self.spectrogram_name
if stft_name not in self._features:
# pad input with a frame of zeros
waveform = tf.concat([
tf.zeros((self._frame_length, self._n_channels)),
self._features['waveform']
],
0
)
stft_feature = tf.transpose(
stft(
tf.transpose(self._features['waveform']),
tf.transpose(waveform),
self._frame_length,
self._frame_step,
window_fn=lambda frame_length, dtype: (
@@ -341,7 +348,7 @@ class EstimatorSpecBuilder(object):
reshaped = tf.transpose(inversed)
if time_crop is None:
time_crop = tf.shape(self._features['waveform'])[0]
return reshaped[:time_crop, :]
return reshaped[self._frame_length:self._frame_length+time_crop, :]
def _build_mwf_output_waveform(self):
""" Perform separation with multichannel Wiener Filtering using Norbert.