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 | from _tools import assert_warns |
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6 | |
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7 | from aubio import cvec, filterbank, float_type |
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8 | |
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9 | class aubio_filterbank_mel_test_case(TestCase): |
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10 | |
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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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15 | assert_equal(np.shape (a), (40, 512/2 + 1) ) |
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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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20 | self.assertIsInstance(f.get_coeffs(), np.ndarray) |
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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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26 | self.assertIsInstance(f.get_coeffs(), np.ndarray) |
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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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31 | freqs = np.array(freq_list, dtype = float_type) |
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32 | with assert_warns(UserWarning): |
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33 | f.set_triangle_bands(freqs, 48000) |
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34 | assert_equal ( f(cvec(1024)), 0) |
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35 | self.assertIsInstance(f.get_coeffs(), np.ndarray) |
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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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40 | freqs = np.array(freq_list, dtype = float_type) |
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41 | with assert_warns(UserWarning): |
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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_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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81 | if __name__ == '__main__': |
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82 | from unittest import main |
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83 | main() |
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