[75e715f] | 1 | #! /usr/bin/env python |
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[5e3ed60] | 2 | |
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[e116e19] | 3 | import numpy as np |
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| 4 | from numpy.testing import TestCase, assert_equal, assert_almost_equal |
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[67024ff] | 5 | from _tools import assert_warns |
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[e116e19] | 6 | |
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[e33d960] | 7 | from aubio import fvec, cvec, filterbank, float_type |
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[5e3ed60] | 8 | |
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| 9 | class aubio_filterbank_mel_test_case(TestCase): |
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| 10 | |
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[0b6d23d] | 11 | def test_slaney(self): |
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| 12 | f = filterbank(40, 512) |
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| 13 | f.set_mel_coeffs_slaney(16000) |
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| 14 | a = f.get_coeffs() |
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[e116e19] | 15 | assert_equal(np.shape (a), (40, 512/2 + 1) ) |
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[0b6d23d] | 16 | |
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| 17 | def test_other_slaney(self): |
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| 18 | f = filterbank(40, 512*2) |
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| 19 | f.set_mel_coeffs_slaney(44100) |
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[e116e19] | 20 | self.assertIsInstance(f.get_coeffs(), np.ndarray) |
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[0b6d23d] | 21 | #print "sum is", sum(sum(a)) |
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| 22 | for win_s in [256, 512, 1024, 2048, 4096]: |
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| 23 | f = filterbank(40, win_s) |
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| 24 | f.set_mel_coeffs_slaney(32000) |
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| 25 | #print "sum is", sum(sum(a)) |
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[e116e19] | 26 | self.assertIsInstance(f.get_coeffs(), np.ndarray) |
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[0b6d23d] | 27 | |
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| 28 | def test_triangle_freqs_zeros(self): |
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| 29 | f = filterbank(9, 1024) |
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| 30 | freq_list = [40, 80, 200, 400, 800, 1600, 3200, 6400, 12800, 15000, 24000] |
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[e116e19] | 31 | freqs = np.array(freq_list, dtype = float_type) |
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[75f9fff] | 32 | f.set_triangle_bands(freqs, 48000) |
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[0b6d23d] | 33 | assert_equal ( f(cvec(1024)), 0) |
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[e116e19] | 34 | self.assertIsInstance(f.get_coeffs(), np.ndarray) |
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[0b6d23d] | 35 | |
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| 36 | def test_triangle_freqs_ones(self): |
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| 37 | f = filterbank(9, 1024) |
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| 38 | freq_list = [40, 80, 200, 400, 800, 1600, 3200, 6400, 12800, 15000, 24000] |
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[e116e19] | 39 | freqs = np.array(freq_list, dtype = float_type) |
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[75f9fff] | 40 | f.set_triangle_bands(freqs, 48000) |
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[e116e19] | 41 | self.assertIsInstance(f.get_coeffs(), np.ndarray) |
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[0b6d23d] | 42 | spec = cvec(1024) |
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| 43 | spec.norm[:] = 1 |
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| 44 | assert_almost_equal ( f(spec), |
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| 45 | [ 0.02070313, 0.02138672, 0.02127604, 0.02135417, |
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| 46 | 0.02133301, 0.02133301, 0.02133311, 0.02133334, 0.02133345]) |
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[5e3ed60] | 47 | |
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[98c712e] | 48 | def test_triangle_freqs_with_zeros(self): |
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| 49 | """make sure set_triangle_bands works when list starts with 0""" |
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| 50 | freq_list = [0, 40, 80] |
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| 51 | freqs = np.array(freq_list, dtype = float_type) |
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| 52 | f = filterbank(len(freqs)-2, 1024) |
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| 53 | f.set_triangle_bands(freqs, 48000) |
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| 54 | assert_equal ( f(cvec(1024)), 0) |
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| 55 | self.assertIsInstance(f.get_coeffs(), np.ndarray) |
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| 56 | |
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[e33d960] | 57 | def test_triangle_freqs_with_wrong_negative(self): |
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| 58 | """make sure set_triangle_bands fails when list contains a negative""" |
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| 59 | freq_list = [-10, 0, 80] |
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| 60 | f = filterbank(len(freq_list)-2, 1024) |
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| 61 | with self.assertRaises(ValueError): |
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| 62 | f.set_triangle_bands(fvec(freq_list), 48000) |
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| 63 | |
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| 64 | def test_triangle_freqs_with_wrong_ordering(self): |
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| 65 | """make sure set_triangle_bands fails when list not ordered""" |
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| 66 | freq_list = [0, 80, 40] |
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| 67 | f = filterbank(len(freq_list)-2, 1024) |
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| 68 | with self.assertRaises(ValueError): |
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| 69 | f.set_triangle_bands(fvec(freq_list), 48000) |
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| 70 | |
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| 71 | def test_triangle_freqs_with_large_freq(self): |
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| 72 | """make sure set_triangle_bands warns when freq > nyquist""" |
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| 73 | samplerate = 22050 |
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| 74 | freq_list = [0, samplerate//4, samplerate // 2 + 1] |
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| 75 | f = filterbank(len(freq_list)-2, 1024) |
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[8354cb8] | 76 | with assert_warns(UserWarning): |
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| 77 | f.set_triangle_bands(fvec(freq_list), samplerate) |
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[e33d960] | 78 | |
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| 79 | def test_triangle_freqs_with_not_enough_filters(self): |
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| 80 | """make sure set_triangle_bands warns when not enough filters""" |
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| 81 | samplerate = 22050 |
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| 82 | freq_list = [0, 100, 1000, 4000, 8000, 10000] |
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| 83 | f = filterbank(len(freq_list)-3, 1024) |
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[8354cb8] | 84 | with assert_warns(UserWarning): |
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| 85 | f.set_triangle_bands(fvec(freq_list), samplerate) |
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[e33d960] | 86 | |
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| 87 | def test_triangle_freqs_with_too_many_filters(self): |
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| 88 | """make sure set_triangle_bands warns when too many filters""" |
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| 89 | samplerate = 22050 |
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| 90 | freq_list = [0, 100, 1000, 4000, 8000, 10000] |
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| 91 | f = filterbank(len(freq_list)-1, 1024) |
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[8354cb8] | 92 | with assert_warns(UserWarning): |
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| 93 | f.set_triangle_bands(fvec(freq_list), samplerate) |
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[e33d960] | 94 | |
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[693de50] | 95 | def test_triangle_freqs_with_double_value(self): |
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| 96 | """make sure set_triangle_bands works with 2 duplicate freqs""" |
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| 97 | samplerate = 22050 |
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| 98 | freq_list = [0, 100, 1000, 4000, 4000, 4000, 10000] |
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| 99 | f = filterbank(len(freq_list)-2, 1024) |
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[8354cb8] | 100 | with assert_warns(UserWarning): |
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| 101 | f.set_triangle_bands(fvec(freq_list), samplerate) |
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[693de50] | 102 | |
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| 103 | def test_triangle_freqs_with_triple(self): |
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| 104 | """make sure set_triangle_bands works with 3 duplicate freqs""" |
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| 105 | samplerate = 22050 |
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| 106 | freq_list = [0, 100, 1000, 4000, 4000, 4000, 10000] |
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| 107 | f = filterbank(len(freq_list)-2, 1024) |
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[8354cb8] | 108 | with assert_warns(UserWarning): |
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| 109 | f.set_triangle_bands(fvec(freq_list), samplerate) |
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[693de50] | 110 | |
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[893e699] | 111 | |
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[c853c1d] | 112 | def test_triangle_freqs_without_norm(self): |
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| 113 | """make sure set_triangle_bands works without """ |
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| 114 | samplerate = 22050 |
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| 115 | freq_list = fvec([0, 100, 1000, 10000]) |
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| 116 | f = filterbank(len(freq_list) - 2, 1024) |
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| 117 | f.set_norm(0) |
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| 118 | f.set_triangle_bands(freq_list, samplerate) |
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| 119 | expected = f.get_coeffs() |
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| 120 | f.set_norm(1) |
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| 121 | f.set_triangle_bands(fvec(freq_list), samplerate) |
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| 122 | assert_almost_equal(f.get_coeffs().T, |
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| 123 | expected.T * 2. / (freq_list[2:] - freq_list[:-2])) |
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| 124 | |
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| 125 | def test_triangle_freqs_wrong_norm(self): |
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| 126 | f = filterbank(10, 1024) |
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| 127 | with self.assertRaises(ValueError): |
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| 128 | f.set_norm(-1) |
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| 129 | |
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| 130 | def test_triangle_freqs_with_power(self): |
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| 131 | f = filterbank(9, 1024) |
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| 132 | freqs = fvec([40, 80, 200, 400, 800, 1600, 3200, 6400, 12800, 15000, |
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| 133 | 24000]) |
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| 134 | f.set_power(2) |
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| 135 | f.set_triangle_bands(freqs, 48000) |
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| 136 | spec = cvec(1024) |
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| 137 | spec.norm[:] = .1 |
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| 138 | expected = fvec([0.02070313, 0.02138672, 0.02127604, 0.02135417, |
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| 139 | 0.02133301, 0.02133301, 0.02133311, 0.02133334, 0.02133345]) |
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| 140 | expected /= 100. |
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| 141 | assert_almost_equal(f(spec), expected) |
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| 142 | |
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| 143 | def test_mel_coeffs(self): |
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| 144 | f = filterbank(40, 1024) |
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| 145 | f.set_mel_coeffs(44100, 0, 44100 / 2) |
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| 146 | |
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| 147 | def test_zero_fmax(self): |
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| 148 | f = filterbank(40, 1024) |
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| 149 | f.set_mel_coeffs(44100, 0, 0) |
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| 150 | |
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| 151 | def test_wrong_mel_coeffs(self): |
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| 152 | f = filterbank(40, 1024) |
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| 153 | with self.assertRaises(ValueError): |
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| 154 | f.set_mel_coeffs_slaney(0) |
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| 155 | with self.assertRaises(ValueError): |
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| 156 | f.set_mel_coeffs(44100, 0, -44100 / 2) |
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| 157 | with self.assertRaises(ValueError): |
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| 158 | f.set_mel_coeffs(44100, -0.1, 44100 / 2) |
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| 159 | with self.assertRaises(ValueError): |
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| 160 | f.set_mel_coeffs(-44100, 0.1, 44100 / 2) |
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| 161 | with self.assertRaises(ValueError): |
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| 162 | f.set_mel_coeffs_htk(-1, 0, 0) |
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| 163 | |
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| 164 | def test_mel_coeffs_htk(self): |
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| 165 | f = filterbank(40, 1024) |
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| 166 | f.set_mel_coeffs_htk(44100, 0, 44100 / 2) |
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| 167 | |
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| 168 | |
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[5e3ed60] | 169 | if __name__ == '__main__': |
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[319edae] | 170 | from unittest import main |
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| 171 | main() |
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