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This commit is contained in:
mmoussallam
2020-06-18 18:12:43 +02:00
parent 4b40685f9d
commit 0ed145fa3e
2 changed files with 13 additions and 8 deletions
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9
spleeter/separator.py
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@@ -126,16 +126,17 @@ class Separator(object):
H = self._params["frame_step"]
win = hann(N, sym=False)
fstft = istft if inverse else stft
win_len_arg = {"win_length": None, "length": length + 2*pad_edges} if inverse else {"n_fft": N}
win_len_arg = {"win_length": None, "length": length +
2*pad_edges} if inverse else {"n_fft": N}
n_channels = data.shape[-1]
out = []
for c in range(n_channels):
d = data[:, :, c].T if inverse else np.concatenate((np.zeros(pad_edges,), data[:,c], np.zeros(pad_edges,)))
for c in range(n_channels):
d = data[:, :, c].T if inverse else np.concatenate(
(np.zeros(pad_edges,), data[:, c], np.zeros(pad_edges,)))
s = fstft(d, hop_length=H, window=win, center=False, **win_len_arg)
if inverse:
s = s[pad_edges:-pad_edges]
s = np.expand_dims(s.T, 2-inverse)
out.append(s)
if len(out) == 1:
return out[0]

12
tests/test_separator.py
View File

@@ -38,6 +38,7 @@ TEST_CONFIGURATIONS = list(itertools.product(TEST_AUDIO_DESCRIPTORS, MODELS, BAC
print("RUNNING TESTS WITH TF VERSION {}".format(tf.__version__))
@pytest.mark.parametrize('test_file', TEST_AUDIO_DESCRIPTORS)
def test_separator_backends(test_file):
adapter = get_default_audio_adapter()
@@ -48,22 +49,24 @@ def test_separator_backends(test_file):
# Test the stft and inverse stft provides exact reconstruction
stft_matrix = separator_lib._stft(waveform)
reconstructed = separator_lib._stft(stft_matrix, inverse=True, length= waveform.shape[0])
reconstructed = separator_lib._stft(
stft_matrix, inverse=True, length=waveform.shape[0])
assert np.allclose(reconstructed, waveform, atol=1e-2)
# # now also test that tensorflow and librosa STFT provide same results
from spleeter.audio.spectrogram import compute_spectrogram_tf
tf_waveform = tf.convert_to_tensor(waveform, tf.float32)
spectrogram_tf = compute_spectrogram_tf(tf_waveform,
separator_tf._params['frame_length'],
separator_tf._params['frame_step'],)
separator_tf._params['frame_length'],
separator_tf._params['frame_step'],)
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:]
assert np.allclose(np.abs(stft_matrix[1:-1]), spectrogram_tf_eval, atol=1e-2)
assert np.allclose(
np.abs(stft_matrix[1:-1]), spectrogram_tf_eval, atol=1e-2)
# compare both separation, it should be close
out_tf = separator_tf._separate_tensorflow(waveform, test_file)
@@ -75,6 +78,7 @@ def test_separator_backends(test_file):
assert np.sum(np.abs(out_lib[instrument])) > 1000
assert np.allclose(out_tf[instrument], out_lib[instrument], atol=0.1)
@pytest.mark.parametrize('test_file, configuration, backend', TEST_CONFIGURATIONS)
def test_separate(test_file, configuration, backend):
""" Test separation from raw data. """