4 from numpy.testing import TestCase, assert_equal, assert_almost_equal
6 from aubio import cvec, filterbank, float_type
9 warnings.filterwarnings('ignore', category=UserWarning, append=True)
11 class aubio_filterbank_mel_test_case(TestCase):
13 def test_slaney(self):
14 f = filterbank(40, 512)
15 f.set_mel_coeffs_slaney(16000)
17 assert_equal(np.shape (a), (40, 512/2 + 1) )
19 def test_other_slaney(self):
20 f = filterbank(40, 512*2)
21 f.set_mel_coeffs_slaney(44100)
22 self.assertIsInstance(f.get_coeffs(), np.ndarray)
23 #print "sum is", sum(sum(a))
24 for win_s in [256, 512, 1024, 2048, 4096]:
25 f = filterbank(40, win_s)
26 f.set_mel_coeffs_slaney(32000)
27 #print "sum is", sum(sum(a))
28 self.assertIsInstance(f.get_coeffs(), np.ndarray)
30 def test_triangle_freqs_zeros(self):
31 f = filterbank(9, 1024)
32 freq_list = [40, 80, 200, 400, 800, 1600, 3200, 6400, 12800, 15000, 24000]
33 freqs = np.array(freq_list, dtype = float_type)
34 f.set_triangle_bands(freqs, 48000)
35 assert_equal ( f(cvec(1024)), 0)
36 self.assertIsInstance(f.get_coeffs(), np.ndarray)
38 def test_triangle_freqs_ones(self):
39 f = filterbank(9, 1024)
40 freq_list = [40, 80, 200, 400, 800, 1600, 3200, 6400, 12800, 15000, 24000]
41 freqs = np.array(freq_list, dtype = float_type)
42 f.set_triangle_bands(freqs, 48000)
43 self.assertIsInstance(f.get_coeffs(), np.ndarray)
46 assert_almost_equal ( f(spec),
47 [ 0.02070313, 0.02138672, 0.02127604, 0.02135417,
48 0.02133301, 0.02133301, 0.02133311, 0.02133334, 0.02133345])
50 def test_triangle_freqs_with_zeros(self):
51 """make sure set_triangle_bands works when list starts with 0"""
52 freq_list = [0, 40, 80]
53 freqs = np.array(freq_list, dtype = float_type)
54 f = filterbank(len(freqs)-2, 1024)
55 f.set_triangle_bands(freqs, 48000)
56 assert_equal ( f(cvec(1024)), 0)
57 self.assertIsInstance(f.get_coeffs(), np.ndarray)
59 if __name__ == '__main__':