3 from unittest import TestCase, main
4 from numpy.testing import assert_equal
5 from numpy import sin, arange, mean, median, isnan, pi
6 from aubio import fvec, pitch, freqtomidi, float_type
8 class aubio_pitch_Good_Values(TestCase):
10 def skip_test_new_default(self):
11 " creating a pitch object without parameters "
13 assert_equal ( [p.method, p.buf_size, p.hop_size, p.samplerate],
14 ['default', 1024, 512, 44100])
16 def test_run_on_silence(self):
17 " creating a pitch object with parameters "
18 p = pitch('default', 2048, 512, 32000)
19 assert_equal ( [p.method, p.buf_size, p.hop_size, p.samplerate],
20 ['default', 2048, 512, 32000])
22 def test_run_on_zeros(self):
23 " running on silence gives 0 "
24 p = pitch('default', 2048, 512, 32000)
26 for _ in range(10): assert_equal (p(f), 0.)
28 def test_run_on_ones(self):
29 " running on ones gives 0 "
30 p = pitch('default', 2048, 512, 32000)
33 for _ in range(10): assert_equal (p(f), 0.)
35 class aubio_pitch_Sinusoid(TestCase):
37 def run_pitch_on_sinusoid(self, method, buf_size, hop_size, samplerate, freq):
39 p = pitch(method, buf_size, hop_size, samplerate)
43 duration = seconds * samplerate
44 # increase to the next multiple of hop_size
45 duration = duration - duration % hop_size + hop_size;
47 sinvec = self.build_sinusoid(duration, freq, samplerate)
49 self.run_pitch(p, sinvec, freq)
51 def build_sinusoid(self, length, freq, samplerate):
52 return sin( 2. * pi * arange(length).astype(float_type) * freq / samplerate)
54 def run_pitch(self, p, input_vec, freq):
55 pitches, errors = [], []
56 input_blocks = input_vec.reshape((-1, p.hop_size))
57 for new_block in input_blocks:
58 pitch = p(new_block)[0]
60 errors.append(1. - freqtomidi(pitch) / freqtomidi(freq))
61 assert_equal ( len(input_blocks), len(pitches) )
62 assert_equal ( isnan(pitches), False )
63 # cut the first candidates
64 #cut = ( p.buf_size - p.hop_size ) / p.hop_size
67 # check that the mean of all relative errors is less than 10%
68 #assert abs (mean(errors) ) < 0.1, pitches
69 assert abs (median(errors) ) < 0.06, "median of relative errors is bigger than 0.06 (%f)\n found %s\n errors %s" % (mean(errors), pitches, errors)
70 #print 'len(pitches), cut:', len(pitches), cut
71 #print 'median errors: ', median(errors), 'median pitches: ', median(pitches)
73 pitch_algorithms = [ "default", "yinfft", "yin", "schmitt", "mcomb", "fcomb" , "specacf" ]
74 pitch_algorithms = [ "default", "yinfft", "yin", "schmitt", "mcomb", "fcomb" ]
76 #freqs = [ 27.5, 55., 110., 220., 440., 880., 1760., 3520. ]
77 freqs = [ 110., 220., 440., 880., 1760., 3520. ]
81 ( 4096, 2048, 44100, freq ),
82 ( 2048, 512, 44100, freq ),
83 ( 2048, 1024, 44100, freq ),
84 ( 2048, 1024, 32000, freq ),
87 freqs = [ ] #55., 110., 220., 440., 880., 1760., 3520. ]
90 ( 2048, 1024, 22050, freq ),
91 ( 1024, 256, 16000, freq ),
92 ( 1024, 256, 8000, freq ),
93 ( 1024, 512+256, 8000, freq ),
98 ( 4096, 512, 44100, 2.*882. ),
99 ( 4096, 512, 44100, 882. ),
100 ( 4096, 512, 44100, 440. ),
101 ( 2048, 512, 44100, 440. ),
102 ( 2048, 1024, 44100, 440. ),
103 ( 2048, 1024, 44100, 440. ),
104 ( 2048, 1024, 32000, 440. ),
105 ( 2048, 1024, 22050, 440. ),
106 ( 1024, 256, 16000, 440. ),
107 ( 1024, 256, 8000, 440. ),
108 ( 1024, 512+256, 8000, 440. ),
112 def create_test (algo, mode):
113 def do_test_pitch(self):
114 self.run_pitch_on_sinusoid(algo, mode[0], mode[1], mode[2], mode[3])
117 for algo in pitch_algorithms:
118 for mode in signal_modes:
119 test_method = create_test (algo, mode)
120 test_method.__name__ = 'test_pitch_%s_%d_%d_%dHz_sin_%.0f' % ( algo,
121 mode[0], mode[1], mode[2], mode[3] )
122 setattr (aubio_pitch_Sinusoid, test_method.__name__, test_method)
124 if __name__ == '__main__':