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https://github.com/YuzuZensai/spleeter.git
synced 2026-01-06 04:32:43 +00:00
align the padding in librosa to what is now done in tf backend
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@@ -53,29 +53,13 @@ def test_separator_backends(test_file):
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stft_matrix, inverse=True, length=waveform.shape[0])
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assert np.allclose(reconstructed, waveform, atol=3e-2)
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# # now also test that tensorflow and librosa STFT provide same results
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from spleeter.audio.spectrogram import compute_spectrogram_tf
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tf_waveform = tf.convert_to_tensor(waveform, tf.float32)
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spectrogram_tf = compute_spectrogram_tf(tf_waveform,
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separator_tf._params['frame_length'],
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separator_tf._params['frame_step'],)
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with tf.Session() as sess:
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spectrogram_tf_eval = spectrogram_tf.eval()
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# check that stfts are equivalent
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assert stft_matrix.shape == spectrogram_tf_eval.shape
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assert np.allclose(
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np.abs(stft_matrix), spectrogram_tf_eval, atol=1e-2)
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# compare both separation, it should be close
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out_tf = separator_tf._separate_tensorflow(waveform, test_file)
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out_lib = separator_lib._separate_librosa(waveform, test_file)
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for instrument in out_lib.keys():
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# test that both outputs are close everywhere
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assert np.allclose(out_tf[instrument], out_lib[instrument], atol=0.025)
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# it should be even more similar outside edges zones
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assert np.allclose(out_tf[instrument][4096:-4096,:], out_lib[instrument][4096:-4096,:], atol=0.002)
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assert np.allclose(out_tf[instrument], out_lib[instrument], atol=1e-5)
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@pytest.mark.parametrize('test_file, configuration, backend', TEST_CONFIGURATIONS)
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