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| @@ -8,58 +8,58 @@ from utils import array_from_text_file · 7 unmodified lines | |||
| 8 | 8 | ||
| 9 | class aubio_filterbank_test_case(TestCase): | 9 | class aubio_filterbank_test_case(TestCase): |
| 10 | 10 | ||
| 11 | def test_members(self): | 11 | def test_members(self): |
| 12 | f = filterbank(40, 512) | 12 | f = filterbank(40, 512) |
| 13 | assert_equal ([f.n_filters, f.win_s], [40, 512]) | 13 | assert_equal ([f.n_filters, f.win_s], [40, 512]) |
| 14 | 14 | ||
| 15 | def test_set_coeffs(self): | 15 | def test_set_coeffs(self): |
| 16 | f = filterbank(40, 512) | 16 | f = filterbank(40, 512) |
| 17 | r = np.random.random([40, int(512 / 2) + 1]).astype(float_type) | 17 | r = np.random.random([40, int(512 / 2) + 1]).astype(float_type) |
| 18 | f.set_coeffs(r) | 18 | f.set_coeffs(r) |
| 19 | assert_equal (r, f.get_coeffs()) | 19 | assert_equal (r, f.get_coeffs()) |
| 20 | 20 | ||
| 21 | def test_phase(self): | 21 | def test_phase(self): |
| 22 | f = filterbank(40, 512) | 22 | f = filterbank(40, 512) |
| 23 | c = cvec(512) | 23 | c = cvec(512) |
| 24 | c.phas[:] = np.pi | 24 | c.phas[:] = np.pi |
| 25 | assert_equal( f(c), 0); | 25 | assert_equal( f(c), 0); |
| 26 | 26 | ||
| 27 | def test_norm(self): | 27 | def test_norm(self): |
| 28 | f = filterbank(40, 512) | 28 | f = filterbank(40, 512) |
| 29 | c = cvec(512) | 29 | c = cvec(512) |
| 30 | c.norm[:] = 1 | 30 | c.norm[:] = 1 |
| 31 | assert_equal( f(c), 0); | 31 | assert_equal( f(c), 0); |
| 32 | 32 | ||
| 33 | def test_random_norm(self): | 33 | def test_random_norm(self): |
| 34 | f = filterbank(40, 512) | 34 | f = filterbank(40, 512) |
| 35 | c = cvec(512) | 35 | c = cvec(512) |
| 36 | c.norm[:] = np.random.random((int(512 / 2) + 1,)).astype(float_type) | 36 | c.norm[:] = np.random.random((int(512 / 2) + 1,)).astype(float_type) |
| 37 | assert_equal( f(c), 0) | 37 | assert_equal( f(c), 0) |
| 38 | 38 | ||
| 39 | def test_random_coeffs(self): | 39 | def test_random_coeffs(self): |
| 40 | win_s = 128 | 40 | win_s = 128 |
| 41 | f = filterbank(40, win_s) | 41 | f = filterbank(40, win_s) |
| 42 | c = cvec(win_s) | 42 | c = cvec(win_s) |
| 43 | r = np.random.random([40, int(win_s / 2) + 1]).astype(float_type) | 43 | r = np.random.random([40, int(win_s / 2) + 1]).astype(float_type) |
| 44 | r /= r.sum() | 44 | r /= r.sum() |
| 45 | f.set_coeffs(r) | 45 | f.set_coeffs(r) |
| 46 | c.norm[:] = np.random.random((int(win_s / 2) + 1,)).astype(float_type) | 46 | c.norm[:] = np.random.random((int(win_s / 2) + 1,)).astype(float_type) |
| 47 | assert_equal ( f(c) < 1., True ) | 47 | assert_equal ( f(c) < 1., True ) |
| 48 | assert_equal ( f(c) > 0., True ) | 48 | assert_equal ( f(c) > 0., True ) |
| 49 | 49 | ||
| 50 | def test_mfcc_coeffs(self): | 50 | def test_mfcc_coeffs(self): |
| 51 | f = filterbank(40, 512) | 51 | f = filterbank(40, 512) |
| 52 | c = cvec(512) | 52 | c = cvec(512) |
| 53 | f.set_mel_coeffs_slaney(44100) | 53 | f.set_mel_coeffs_slaney(44100) |
| 54 | c.norm[:] = np.random.random((int(512 / 2) + 1,)).astype(float_type) | 54 | c.norm[:] = np.random.random((int(512 / 2) + 1,)).astype(float_type) |
| 55 | assert_equal ( f(c) < 1., True ) | 55 | assert_equal ( f(c) < 1., True ) |
| 56 | assert_equal ( f(c) > 0., True ) | 56 | assert_equal ( f(c) > 0., True ) |
| 57 | 57 | ||
| 58 | def test_mfcc_coeffs_16000(self): | 58 | def test_mfcc_coeffs_16000(self): |
| 59 | expected = array_from_text_file('filterbank_mfcc_16000_512.expected') | 59 | expected = array_from_text_file('filterbank_mfcc_16000_512.expected') |
| 60 | f = filterbank(40, 512) | 60 | f = filterbank(40, 512) |
| 61 | f.set_mel_coeffs_slaney(16000) | 61 | f.set_mel_coeffs_slaney(16000) |
| 62 | assert_almost_equal ( expected, f.get_coeffs() ) | 62 | assert_almost_equal ( expected, f.get_coeffs() ) |
| 63 | 63 | ||
| 64 | if __name__ == '__main__': | 64 | if __name__ == '__main__': |
| 65 | from nose2 import main | 65 | from nose2 import main |