ref: 0a22ba9cf6d4ed193b06f8606d7f1bfdb0ddcc9c
dir: /python/tests/test_pitch.py/
#! /usr/bin/env python
from numpy.testing import TestCase, 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", "yinfast", "schmitt", "mcomb", "fcomb" , "specacf" ]
pitch_algorithms = [ "default", "yinfft", "yin", "yinfast", "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__':
from unittest import main
main()