[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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[c4b2183] | 7 | from aubio import 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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[67024ff] | 32 | with assert_warns(UserWarning): |
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| 33 | f.set_triangle_bands(freqs, 48000) |
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[0b6d23d] | 34 | assert_equal ( f(cvec(1024)), 0) |
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[e116e19] | 35 | self.assertIsInstance(f.get_coeffs(), np.ndarray) |
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[0b6d23d] | 36 | |
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| 37 | def test_triangle_freqs_ones(self): |
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| 38 | f = filterbank(9, 1024) |
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| 39 | freq_list = [40, 80, 200, 400, 800, 1600, 3200, 6400, 12800, 15000, 24000] |
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[e116e19] | 40 | freqs = np.array(freq_list, dtype = float_type) |
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[67024ff] | 41 | with assert_warns(UserWarning): |
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| 42 | f.set_triangle_bands(freqs, 48000) |
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[e116e19] | 43 | self.assertIsInstance(f.get_coeffs(), np.ndarray) |
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[0b6d23d] | 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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[5e3ed60] | 49 | |
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[67024ff] | 50 | def test_triangle_freqs_normal(self): |
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| 51 | """ create a filter with set_triangle_bands, normal mode """ |
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| 52 | f = filterbank(3, 1024) |
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| 53 | freq_list = [100, 1000, 10000, 15000, 20000] |
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| 54 | freqs = np.array(freq_list, dtype = float_type) |
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| 55 | f.set_triangle_bands(freqs, 44100) |
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| 56 | |
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| 57 | def test_triangle_freqs_too_long(self): |
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| 58 | """ create a filter with freq_list too long """ |
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| 59 | f = filterbank(2, 1024) |
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| 60 | freq_list = [100, 1000, 10000, 15000, 20000] |
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| 61 | freqs = np.array(freq_list, dtype = float_type) |
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| 62 | with assert_warns(UserWarning): |
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| 63 | f.set_triangle_bands(freqs, 44100) |
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| 64 | |
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| 65 | def test_triangle_freqs_too_short(self): |
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| 66 | """ create a filter with freq_list too short """ |
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| 67 | f = filterbank(4, 1024) |
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| 68 | freq_list = [100, 1000, 10000, 15000, 20000] |
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| 69 | freqs = np.array(freq_list, dtype = float_type) |
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| 70 | with assert_warns(UserWarning): |
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| 71 | f.set_triangle_bands(freqs, 44100) |
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| 72 | |
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| 73 | def test_above_nyquist(self): |
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| 74 | """ create a filter with freq_list too short """ |
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| 75 | f = filterbank(3, 1024) |
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| 76 | freq_list = [100, 1000, 10000, 15000, 23000] |
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| 77 | freqs = np.array(freq_list, dtype = float_type) |
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| 78 | with assert_warns(UserWarning): |
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| 79 | f.set_triangle_bands(freqs, 44100) |
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| 80 | |
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[5e3ed60] | 81 | if __name__ == '__main__': |
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[319edae] | 82 | from unittest import main |
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| 83 | main() |
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