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dont pad the signal, only the stft matrix before inversion

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mmoussallam
2020-06-19 00:33:19 +02:00
parent 94dedbe949
commit 97458816c9
2 changed files with 13 additions and 12 deletions
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12
tests/test_separator.py
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@@ -51,7 +51,7 @@ def test_separator_backends(test_file):
stft_matrix = separator_lib._stft(waveform)
reconstructed = separator_lib._stft(
stft_matrix, inverse=True, length=waveform.shape[0])
assert np.allclose(reconstructed, waveform, atol=1e-2)
assert np.allclose(reconstructed, waveform, atol=3e-2)
# # now also test that tensorflow and librosa STFT provide same results
from spleeter.audio.spectrogram import compute_spectrogram_tf
@@ -62,11 +62,10 @@ def test_separator_backends(test_file):
with tf.Session() as sess:
spectrogram_tf_eval = spectrogram_tf.eval()
# check that stfts are equivalent up to the padding in the librosa case
assert stft_matrix.shape[0] == spectrogram_tf_eval.shape[0] + 2
assert stft_matrix.shape[1:] == spectrogram_tf_eval.shape[1:]
# check that stfts are equivalent
assert stft_matrix.shape == spectrogram_tf_eval.shape
assert np.allclose(
np.abs(stft_matrix[1:-1]), spectrogram_tf_eval, atol=1e-2)
np.abs(stft_matrix), spectrogram_tf_eval, atol=1e-2)
# compare both separation, it should be close
out_tf = separator_tf._separate_tensorflow(waveform, test_file)
@@ -78,7 +77,8 @@ def test_separator_backends(test_file):
print(np.sum(np.abs(out_lib[instrument])))
assert np.sum(np.abs(out_tf[instrument])) > 1000
assert np.sum(np.abs(out_lib[instrument])) > 1000
assert np.allclose(out_tf[instrument], out_lib[instrument], atol=0.01)
print(np.max(out_tf[instrument]- out_lib[instrument]))
assert np.allclose(out_tf[instrument], out_lib[instrument], atol=0.025)
@pytest.mark.parametrize('test_file, configuration, backend', TEST_CONFIGURATIONS)