1 | #! /usr/bin/env python |
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2 | |
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3 | import numpy as np |
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4 | from numpy.testing import TestCase, assert_equal, assert_almost_equal |
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5 | |
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6 | from aubio import fvec, cvec, filterbank, float_type |
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7 | |
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8 | import warnings |
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9 | warnings.filterwarnings('ignore', category=UserWarning, append=True) |
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10 | |
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11 | class aubio_filterbank_mel_test_case(TestCase): |
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12 | |
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13 | def test_slaney(self): |
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14 | f = filterbank(40, 512) |
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15 | f.set_mel_coeffs_slaney(16000) |
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16 | a = f.get_coeffs() |
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17 | assert_equal(np.shape (a), (40, 512/2 + 1) ) |
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18 | |
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19 | def test_other_slaney(self): |
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20 | f = filterbank(40, 512*2) |
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21 | f.set_mel_coeffs_slaney(44100) |
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22 | self.assertIsInstance(f.get_coeffs(), np.ndarray) |
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23 | #print "sum is", sum(sum(a)) |
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24 | for win_s in [256, 512, 1024, 2048, 4096]: |
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25 | f = filterbank(40, win_s) |
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26 | f.set_mel_coeffs_slaney(32000) |
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27 | #print "sum is", sum(sum(a)) |
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28 | self.assertIsInstance(f.get_coeffs(), np.ndarray) |
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29 | |
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30 | def test_triangle_freqs_zeros(self): |
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31 | f = filterbank(9, 1024) |
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32 | freq_list = [40, 80, 200, 400, 800, 1600, 3200, 6400, 12800, 15000, 24000] |
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33 | freqs = np.array(freq_list, dtype = float_type) |
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34 | f.set_triangle_bands(freqs, 48000) |
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35 | assert_equal ( f(cvec(1024)), 0) |
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36 | self.assertIsInstance(f.get_coeffs(), np.ndarray) |
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37 | |
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38 | def test_triangle_freqs_ones(self): |
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39 | f = filterbank(9, 1024) |
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40 | freq_list = [40, 80, 200, 400, 800, 1600, 3200, 6400, 12800, 15000, 24000] |
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41 | freqs = np.array(freq_list, dtype = float_type) |
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42 | f.set_triangle_bands(freqs, 48000) |
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43 | self.assertIsInstance(f.get_coeffs(), np.ndarray) |
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44 | spec = cvec(1024) |
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45 | spec.norm[:] = 1 |
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46 | assert_almost_equal ( f(spec), |
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47 | [ 0.02070313, 0.02138672, 0.02127604, 0.02135417, |
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48 | 0.02133301, 0.02133301, 0.02133311, 0.02133334, 0.02133345]) |
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49 | |
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50 | def test_triangle_freqs_with_zeros(self): |
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51 | """make sure set_triangle_bands works when list starts with 0""" |
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52 | freq_list = [0, 40, 80] |
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53 | freqs = np.array(freq_list, dtype = float_type) |
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54 | f = filterbank(len(freqs)-2, 1024) |
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55 | f.set_triangle_bands(freqs, 48000) |
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56 | assert_equal ( f(cvec(1024)), 0) |
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57 | self.assertIsInstance(f.get_coeffs(), np.ndarray) |
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58 | |
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59 | def test_triangle_freqs_with_wrong_negative(self): |
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60 | """make sure set_triangle_bands fails when list contains a negative""" |
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61 | freq_list = [-10, 0, 80] |
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62 | f = filterbank(len(freq_list)-2, 1024) |
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63 | with self.assertRaises(ValueError): |
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64 | f.set_triangle_bands(fvec(freq_list), 48000) |
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65 | |
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66 | def test_triangle_freqs_with_wrong_ordering(self): |
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67 | """make sure set_triangle_bands fails when list not ordered""" |
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68 | freq_list = [0, 80, 40] |
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69 | f = filterbank(len(freq_list)-2, 1024) |
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70 | with self.assertRaises(ValueError): |
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71 | f.set_triangle_bands(fvec(freq_list), 48000) |
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72 | |
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73 | def test_triangle_freqs_with_large_freq(self): |
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74 | """make sure set_triangle_bands warns when freq > nyquist""" |
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75 | samplerate = 22050 |
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76 | freq_list = [0, samplerate//4, samplerate // 2 + 1] |
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77 | f = filterbank(len(freq_list)-2, 1024) |
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78 | # TODO add assert_warns |
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79 | f.set_triangle_bands(fvec(freq_list), samplerate) |
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80 | |
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81 | def test_triangle_freqs_with_not_enough_filters(self): |
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82 | """make sure set_triangle_bands warns when not enough filters""" |
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83 | samplerate = 22050 |
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84 | freq_list = [0, 100, 1000, 4000, 8000, 10000] |
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85 | f = filterbank(len(freq_list)-3, 1024) |
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86 | # TODO add assert_warns |
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87 | f.set_triangle_bands(fvec(freq_list), samplerate) |
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88 | |
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89 | def test_triangle_freqs_with_too_many_filters(self): |
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90 | """make sure set_triangle_bands warns when too many filters""" |
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91 | samplerate = 22050 |
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92 | freq_list = [0, 100, 1000, 4000, 8000, 10000] |
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93 | f = filterbank(len(freq_list)-1, 1024) |
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94 | # TODO add assert_warns |
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95 | f.set_triangle_bands(fvec(freq_list), samplerate) |
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96 | |
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97 | def test_triangle_freqs_with_double_value(self): |
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98 | """make sure set_triangle_bands works with 2 duplicate freqs""" |
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99 | samplerate = 22050 |
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100 | freq_list = [0, 100, 1000, 4000, 4000, 4000, 10000] |
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101 | f = filterbank(len(freq_list)-2, 1024) |
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102 | # TODO add assert_warns |
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103 | f.set_triangle_bands(fvec(freq_list), samplerate) |
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104 | |
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105 | def test_triangle_freqs_with_triple(self): |
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106 | """make sure set_triangle_bands works with 3 duplicate freqs""" |
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107 | samplerate = 22050 |
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108 | freq_list = [0, 100, 1000, 4000, 4000, 4000, 10000] |
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109 | f = filterbank(len(freq_list)-2, 1024) |
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110 | # TODO add assert_warns |
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111 | f.set_triangle_bands(fvec(freq_list), samplerate) |
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112 | |
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113 | def test_triangle_freqs_without_norm(self): |
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114 | """make sure set_triangle_bands works without """ |
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115 | samplerate = 22050 |
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116 | freq_list = fvec([0, 100, 1000, 10000]) |
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117 | f = filterbank(len(freq_list) - 2, 1024) |
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118 | f.set_norm(0) |
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119 | f.set_triangle_bands(freq_list, samplerate) |
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120 | expected = f.get_coeffs() |
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121 | f.set_norm(1) |
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122 | f.set_triangle_bands(fvec(freq_list), samplerate) |
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123 | assert_almost_equal(f.get_coeffs().T, |
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124 | expected.T * 2. / (freq_list[2:] - freq_list[:-2])) |
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125 | |
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126 | def test_triangle_freqs_wrong_norm(self): |
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127 | f = filterbank(10, 1024) |
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128 | with self.assertRaises(ValueError): |
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129 | f.set_norm(-1) |
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130 | |
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131 | def test_triangle_freqs_with_power(self): |
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132 | f = filterbank(9, 1024) |
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133 | freqs = fvec([40, 80, 200, 400, 800, 1600, 3200, 6400, 12800, 15000, |
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134 | 24000]) |
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135 | f.set_power(2) |
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136 | f.set_triangle_bands(freqs, 48000) |
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137 | spec = cvec(1024) |
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138 | spec.norm[:] = .1 |
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139 | expected = fvec([0.02070313, 0.02138672, 0.02127604, 0.02135417, |
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140 | 0.02133301, 0.02133301, 0.02133311, 0.02133334, 0.02133345]) |
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141 | expected /= 100. |
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142 | assert_almost_equal(f(spec), expected) |
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143 | |
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144 | def test_mel_coeffs(self): |
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145 | f = filterbank(40, 1024) |
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146 | f.set_mel_coeffs(44100, 0, 44100 / 2) |
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147 | |
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148 | def test_zero_fmax(self): |
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149 | f = filterbank(40, 1024) |
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150 | f.set_mel_coeffs(44100, 0, 0) |
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151 | |
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152 | def test_wrong_mel_coeffs(self): |
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153 | f = filterbank(40, 1024) |
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154 | with self.assertRaises(ValueError): |
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155 | f.set_mel_coeffs_slaney(0) |
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156 | with self.assertRaises(ValueError): |
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157 | f.set_mel_coeffs(44100, 0, -44100 / 2) |
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158 | with self.assertRaises(ValueError): |
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159 | f.set_mel_coeffs(44100, -0.1, 44100 / 2) |
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160 | with self.assertRaises(ValueError): |
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161 | f.set_mel_coeffs(-44100, 0.1, 44100 / 2) |
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162 | with self.assertRaises(ValueError): |
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163 | f.set_mel_coeffs_htk(-1, 0, 0) |
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164 | |
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165 | def test_mel_coeffs_htk(self): |
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166 | f = filterbank(40, 1024) |
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167 | f.set_mel_coeffs_htk(44100, 0, 44100 / 2) |
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168 | |
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169 | |
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170 | if __name__ == '__main__': |
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171 | import nose2 |
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172 | nose2.main() |
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