#! /usr/bin/env python from unittest import TestCase, main from numpy.testing import assert_equal from numpy import sin, arange, mean, median, isnan, pi from aubio import fvec, pitch, freqtomidi, float_type class aubio_pitch_Good_Values(TestCase): def skip_test_new_default(self): " creating a pitch object without parameters " p = pitch() assert_equal ( [p.method, p.buf_size, p.hop_size, p.samplerate], ['default', 1024, 512, 44100]) def test_run_on_silence(self): " creating a pitch object with parameters " p = pitch('default', 2048, 512, 32000) assert_equal ( [p.method, p.buf_size, p.hop_size, p.samplerate], ['default', 2048, 512, 32000]) def test_run_on_zeros(self): " running on silence gives 0 " p = pitch('default', 2048, 512, 32000) f = fvec (512) for _ in range(10): assert_equal (p(f), 0.) def test_run_on_ones(self): " running on ones gives 0 " p = pitch('default', 2048, 512, 32000) f = fvec (512) f[:] = 1 for _ in range(10): assert_equal (p(f), 0.) class aubio_pitch_Sinusoid(TestCase): def run_pitch_on_sinusoid(self, method, buf_size, hop_size, samplerate, freq): # create pitch object p = pitch(method, buf_size, hop_size, samplerate) # duration in seconds seconds = .3 # duration in samples duration = seconds * samplerate # increase to the next multiple of hop_size duration = duration - duration % hop_size + hop_size; # build sinusoid sinvec = self.build_sinusoid(duration, freq, samplerate) self.run_pitch(p, sinvec, freq) def build_sinusoid(self, length, freq, samplerate): return sin( 2. * pi * arange(length).astype(float_type) * freq / samplerate) def run_pitch(self, p, input_vec, freq): pitches, errors = [], [] input_blocks = input_vec.reshape((-1, p.hop_size)) for new_block in input_blocks: pitch = p(new_block)[0] pitches.append(pitch) errors.append(1. - freqtomidi(pitch) / freqtomidi(freq)) assert_equal ( len(input_blocks), len(pitches) ) assert_equal ( isnan(pitches), False ) # cut the first candidates #cut = ( p.buf_size - p.hop_size ) / p.hop_size pitches = pitches[2:] errors = errors[2:] # check that the mean of all relative errors is less than 10% #assert abs (mean(errors) ) < 0.1, pitches 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) #print 'len(pitches), cut:', len(pitches), cut #print 'median errors: ', median(errors), 'median pitches: ', median(pitches) pitch_algorithms = [ "default", "yinfft", "yin", "schmitt", "mcomb", "fcomb" , "specacf" ] pitch_algorithms = [ "default", "yinfft", "yin", "schmitt", "mcomb", "fcomb" ] #freqs = [ 27.5, 55., 110., 220., 440., 880., 1760., 3520. ] freqs = [ 110., 220., 440., 880., 1760., 3520. ] signal_modes = [] for freq in freqs: signal_modes += [ ( 4096, 2048, 44100, freq ), ( 2048, 512, 44100, freq ), ( 2048, 1024, 44100, freq ), ( 2048, 1024, 32000, freq ), ] freqs = [ ] #55., 110., 220., 440., 880., 1760., 3520. ] for freq in freqs: signal_modes += [ ( 2048, 1024, 22050, freq ), ( 1024, 256, 16000, freq ), ( 1024, 256, 8000, freq ), ( 1024, 512+256, 8000, freq ), ] """ signal_modes = [ ( 4096, 512, 44100, 2.*882. ), ( 4096, 512, 44100, 882. ), ( 4096, 512, 44100, 440. ), ( 2048, 512, 44100, 440. ), ( 2048, 1024, 44100, 440. ), ( 2048, 1024, 44100, 440. ), ( 2048, 1024, 32000, 440. ), ( 2048, 1024, 22050, 440. ), ( 1024, 256, 16000, 440. ), ( 1024, 256, 8000, 440. ), ( 1024, 512+256, 8000, 440. ), ] """ def create_test (algo, mode): def do_test_pitch(self): self.run_pitch_on_sinusoid(algo, mode[0], mode[1], mode[2], mode[3]) return do_test_pitch for algo in pitch_algorithms: for mode in signal_modes: test_method = create_test (algo, mode) test_method.__name__ = 'test_pitch_%s_%d_%d_%dHz_sin_%.0f' % ( algo, mode[0], mode[1], mode[2], mode[3] ) setattr (aubio_pitch_Sinusoid, test_method.__name__, test_method) if __name__ == '__main__': main()