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55 lines
1.5 KiB
55 lines
1.5 KiB
# MIT License, Copyright (c) 2020 Alexandre Défossez.
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# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Modified from julius(https://github.com/adefossez/julius/blob/main/tests/test_bands.py)
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import random
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import sys
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import unittest
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import paddle
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from paddlespeech.audiotools.core import pure_tone
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from paddlespeech.audiotools.core import split_bands
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from paddlespeech.audiotools.core import SplitBands
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def delta(a, b, ref, fraction=0.9):
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length = a.shape[-1]
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compare_length = int(length * fraction)
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offset = (length - compare_length) // 2
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a = a[..., offset:offset + length]
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b = b[..., offset:offset + length]
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return 100 * paddle.abs(a - b).mean() / ref.std()
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TOLERANCE = 0.5 # Tolerance to errors as percentage of the std of the input signal
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class _BaseTest(unittest.TestCase):
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def assertSimilar(self, a, b, ref, msg=None, tol=TOLERANCE):
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self.assertLessEqual(delta(a, b, ref), tol, msg)
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class TestLowPassFilters(_BaseTest):
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def setUp(self):
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paddle.seed(1234)
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random.seed(1234)
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def test_keep_or_kill(self):
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sr = 256
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low = pure_tone(10, sr)
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mid = pure_tone(40, sr)
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high = pure_tone(100, sr)
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x = low + mid + high
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decomp = split_bands(x, sr, cutoffs=[20, 70])
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self.assertEqual(len(decomp), 3)
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for est, gt, name in zip(decomp, [low, mid, high],
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["low", "mid", "high"]):
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self.assertSimilar(est, gt, gt, name)
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if __name__ == "__main__":
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unittest.main()
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