source: python/tests/test_filterbank_mel.py @ 51b5f9c

feature/autosinkfeature/constantqfeature/pitchshiftfeature/timestretch
Last change on this file since 51b5f9c was a95b386, checked in by Paul Brossier <piem@piem.org>, 13 months ago

Merge branch 'master' into feature/pytest

  • Property mode set to 100755
File size: 6.6 KB
Line 
1#! /usr/bin/env python
2
3import numpy as np
4from numpy.testing import TestCase, assert_equal, assert_almost_equal
5from _tools import assert_warns
6
7from aubio import fvec, cvec, filterbank, float_type
8
9class aubio_filterbank_mel_test_case(TestCase):
10
11    def test_slaney(self):
12        f = filterbank(40, 512)
13        f.set_mel_coeffs_slaney(16000)
14        a = f.get_coeffs()
15        assert_equal(np.shape (a), (40, 512/2 + 1) )
16
17    def test_other_slaney(self):
18        f = filterbank(40, 512*2)
19        f.set_mel_coeffs_slaney(44100)
20        self.assertIsInstance(f.get_coeffs(), np.ndarray)
21        #print "sum is", sum(sum(a))
22        for win_s in [256, 512, 1024, 2048, 4096]:
23            f = filterbank(40, win_s)
24            f.set_mel_coeffs_slaney(32000)
25            #print "sum is", sum(sum(a))
26            self.assertIsInstance(f.get_coeffs(), np.ndarray)
27
28    def test_triangle_freqs_zeros(self):
29        f = filterbank(9, 1024)
30        freq_list = [40, 80, 200, 400, 800, 1600, 3200, 6400, 12800, 15000, 24000]
31        freqs = np.array(freq_list, dtype = float_type)
32        f.set_triangle_bands(freqs, 48000)
33        assert_equal ( f(cvec(1024)), 0)
34        self.assertIsInstance(f.get_coeffs(), np.ndarray)
35
36    def test_triangle_freqs_ones(self):
37        f = filterbank(9, 1024)
38        freq_list = [40, 80, 200, 400, 800, 1600, 3200, 6400, 12800, 15000, 24000]
39        freqs = np.array(freq_list, dtype = float_type)
40        f.set_triangle_bands(freqs, 48000)
41        self.assertIsInstance(f.get_coeffs(), np.ndarray)
42        spec = cvec(1024)
43        spec.norm[:] = 1
44        assert_almost_equal ( f(spec),
45                [ 0.02070313, 0.02138672, 0.02127604, 0.02135417,
46                    0.02133301, 0.02133301, 0.02133311, 0.02133334, 0.02133345])
47
48    def test_triangle_freqs_with_zeros(self):
49        """make sure set_triangle_bands works when list starts with 0"""
50        freq_list = [0, 40, 80]
51        freqs = np.array(freq_list, dtype = float_type)
52        f = filterbank(len(freqs)-2, 1024)
53        f.set_triangle_bands(freqs, 48000)
54        assert_equal ( f(cvec(1024)), 0)
55        self.assertIsInstance(f.get_coeffs(), np.ndarray)
56
57    def test_triangle_freqs_with_wrong_negative(self):
58        """make sure set_triangle_bands fails when list contains a negative"""
59        freq_list = [-10, 0, 80]
60        f = filterbank(len(freq_list)-2, 1024)
61        with self.assertRaises(ValueError):
62            f.set_triangle_bands(fvec(freq_list), 48000)
63
64    def test_triangle_freqs_with_wrong_ordering(self):
65        """make sure set_triangle_bands fails when list not ordered"""
66        freq_list = [0, 80, 40]
67        f = filterbank(len(freq_list)-2, 1024)
68        with self.assertRaises(ValueError):
69            f.set_triangle_bands(fvec(freq_list), 48000)
70
71    def test_triangle_freqs_with_large_freq(self):
72        """make sure set_triangle_bands warns when freq > nyquist"""
73        samplerate = 22050
74        freq_list = [0, samplerate//4, samplerate // 2 + 1]
75        f = filterbank(len(freq_list)-2, 1024)
76        with assert_warns(UserWarning):
77            f.set_triangle_bands(fvec(freq_list), samplerate)
78
79    def test_triangle_freqs_with_not_enough_filters(self):
80        """make sure set_triangle_bands warns when not enough filters"""
81        samplerate = 22050
82        freq_list = [0, 100, 1000, 4000, 8000, 10000]
83        f = filterbank(len(freq_list)-3, 1024)
84        with assert_warns(UserWarning):
85            f.set_triangle_bands(fvec(freq_list), samplerate)
86
87    def test_triangle_freqs_with_too_many_filters(self):
88        """make sure set_triangle_bands warns when too many filters"""
89        samplerate = 22050
90        freq_list = [0, 100, 1000, 4000, 8000, 10000]
91        f = filterbank(len(freq_list)-1, 1024)
92        with assert_warns(UserWarning):
93            f.set_triangle_bands(fvec(freq_list), samplerate)
94
95    def test_triangle_freqs_with_double_value(self):
96        """make sure set_triangle_bands works with 2 duplicate freqs"""
97        samplerate = 22050
98        freq_list = [0, 100, 1000, 4000, 4000, 4000, 10000]
99        f = filterbank(len(freq_list)-2, 1024)
100        with assert_warns(UserWarning):
101            f.set_triangle_bands(fvec(freq_list), samplerate)
102
103    def test_triangle_freqs_with_triple(self):
104        """make sure set_triangle_bands works with 3 duplicate freqs"""
105        samplerate = 22050
106        freq_list = [0, 100, 1000, 4000, 4000, 4000, 10000]
107        f = filterbank(len(freq_list)-2, 1024)
108        with assert_warns(UserWarning):
109            f.set_triangle_bands(fvec(freq_list), samplerate)
110
111
112    def test_triangle_freqs_without_norm(self):
113        """make sure set_triangle_bands works without """
114        samplerate = 22050
115        freq_list = fvec([0, 100, 1000, 10000])
116        f = filterbank(len(freq_list) - 2, 1024)
117        f.set_norm(0)
118        f.set_triangle_bands(freq_list, samplerate)
119        expected = f.get_coeffs()
120        f.set_norm(1)
121        f.set_triangle_bands(fvec(freq_list), samplerate)
122        assert_almost_equal(f.get_coeffs().T,
123                expected.T * 2. / (freq_list[2:] - freq_list[:-2]))
124
125    def test_triangle_freqs_wrong_norm(self):
126        f = filterbank(10, 1024)
127        with self.assertRaises(ValueError):
128            f.set_norm(-1)
129
130    def test_triangle_freqs_with_power(self):
131        f = filterbank(9, 1024)
132        freqs = fvec([40, 80, 200, 400, 800, 1600, 3200, 6400, 12800, 15000,
133            24000])
134        f.set_power(2)
135        f.set_triangle_bands(freqs, 48000)
136        spec = cvec(1024)
137        spec.norm[:] = .1
138        expected = fvec([0.02070313, 0.02138672, 0.02127604, 0.02135417,
139            0.02133301, 0.02133301, 0.02133311, 0.02133334, 0.02133345])
140        expected /= 100.
141        assert_almost_equal(f(spec), expected)
142
143    def test_mel_coeffs(self):
144        f = filterbank(40, 1024)
145        f.set_mel_coeffs(44100, 0, 44100 / 2)
146
147    def test_zero_fmax(self):
148        f = filterbank(40, 1024)
149        f.set_mel_coeffs(44100, 0, 0)
150
151    def test_wrong_mel_coeffs(self):
152        f = filterbank(40, 1024)
153        with self.assertRaises(ValueError):
154            f.set_mel_coeffs_slaney(0)
155        with self.assertRaises(ValueError):
156            f.set_mel_coeffs(44100, 0, -44100 / 2)
157        with self.assertRaises(ValueError):
158            f.set_mel_coeffs(44100, -0.1, 44100 / 2)
159        with self.assertRaises(ValueError):
160            f.set_mel_coeffs(-44100, 0.1, 44100 / 2)
161        with self.assertRaises(ValueError):
162            f.set_mel_coeffs_htk(-1, 0, 0)
163
164    def test_mel_coeffs_htk(self):
165        f = filterbank(40, 1024)
166        f.set_mel_coeffs_htk(44100, 0, 44100 / 2)
167
168
169if __name__ == '__main__':
170    from unittest import main
171    main()
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