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test_pitchmelodia.py
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#!/usr/bin/env python
# Copyright (C) 2006-2021 Music Technology Group - Universitat Pompeu Fabra
#
# This file is part of Essentia
#
# Essentia is free software: you can redistribute it and/or modify it under
# the terms of the GNU Affero General Public License as published by the Free
# Software Foundation (FSF), either version 3 of the License, or (at your
# option) any later version.
#
# This program is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
# details.
#
# You should have received a copy of the Affero GNU General Public License
# version 3 along with this program. If not, see http://www.gnu.org/licenses/
from essentia_test import *
import math as math
import numpy as np
class TestPitchMelodia(TestCase):
def testInvalidParam(self):
# Test for all the values above the boundary limits.
self.assertConfigureFails(PitchMelodia(), {'binResolution': -1})
self.assertConfigureFails(PitchMelodia(), {'binResolution': 0})
self.assertConfigureFails(PitchMelodia(), {'filterIterations': 0})
self.assertConfigureFails(PitchMelodia(), {'filterIterations': -1})
self.assertConfigureFails(PitchMelodia(), {'frameSize': -1})
self.assertConfigureFails(PitchMelodia(), {'frameSize': 0})
self.assertConfigureFails(PitchMelodia(), {'harmonicWeight': -1})
self.assertConfigureFails(PitchMelodia(), {'hopSize': 0})
self.assertConfigureFails(PitchMelodia(), {'hopSize': -1})
self.assertConfigureFails(PitchMelodia(), {'magnitudeCompression': -1})
self.assertConfigureFails(PitchMelodia(), {'magnitudeCompression': 0})
self.assertConfigureFails(PitchMelodia(), {'magnitudeCompression': 2})
self.assertConfigureFails(PitchMelodia(), {'magnitudeThreshold': -1})
self.assertConfigureFails(PitchMelodia(), {'maxFrequency': -1})
self.assertConfigureFails(PitchMelodia(), {'minDuration': 0})
self.assertConfigureFails(PitchMelodia(), {'minDuration': -1})
self.assertConfigureFails(PitchMelodia(), {'minFrequency': -1})
self.assertConfigureFails(PitchMelodia(), {'numberHarmonics': -1})
self.assertConfigureFails(PitchMelodia(), {'peakDistributionThreshold': -1})
self.assertConfigureFails(PitchMelodia(), {'peakDistributionThreshold': 2.1})
self.assertConfigureFails(PitchMelodia(), {'peakFrameThreshold': -1})
self.assertConfigureFails(PitchMelodia(), {'peakFrameThreshold': 2})
self.assertConfigureFails(PitchMelodia(), {'pitchContinuity': -1})
self.assertConfigureFails(PitchMelodia(), {'referenceFrequency': 0})
self.assertConfigureFails(PitchMelodia(), {'referenceFrequency': -1})
self.assertConfigureFails(PitchMelodia(), {'sampleRate': 0})
self.assertConfigureFails(PitchMelodia(), {'sampleRate': -1})
self.assertConfigureFails(PitchMelodia(), {'timeContinuity': 0})
self.assertConfigureFails(PitchMelodia(), {'timeContinuity': -1})
def testDefaultParameters(self):
signal = np.random.random(1024)
pitch, confidence = PitchMelodia()(signal)
# Assert that default parameters produce valid outputs
self.assertIsNotNone(pitch)
self.assertIsNotNone(confidence)
def testEmptyInput(self):
pitch, confidence = PitchMelodia()([])
self.assertEqualVector(pitch, [])
self.assertEqualVector(confidence, [])
def testZerosInput(self):
signal = zeros(1024)
pitch, confidence = PitchMelodia()(signal)
self.assertAlmostEqualVector(pitch, [0.] * 9)
self.assertAlmostEqualVector(confidence, [0.] * 9)
def testOnesInput(self):
signal = ones(1024)
pitch, confidence = PitchMelodia()(signal)
self.assertAlmostEqualVector(pitch, [0.] * 9)
self.assertAlmostEqualVector(confidence, [0.] * 9)
def testCustomParameters(self):
signal = np.random.random(2048)
# Use custom parameters
params = {
'binResolution': 5,
'filterIterations': 5,
'frameSize': 1024,
'guessUnvoiced': True,
'harmonicWeight': 0.9,
'hopSize': 256,
'magnitudeCompression': 0.5,
'magnitudeThreshold': 30,
'maxFrequency': 15000,
'minDuration': 50,
'minFrequency': 60,
'numberHarmonics': 15,
'peakDistributionThreshold': 1.0,
'peakFrameThreshold': 0.8,
'pitchContinuity': 30.0,
'referenceFrequency': 60,
'sampleRate': 22050,
'timeContinuity': 150
}
pitch, confidence = PitchMelodia(**params)(signal)
# Assert that custom parameters produce valid outputs
self.assertIsNotNone(pitch)
self.assertIsNotNone(confidence)
def testInputWithSilence(self):
rand_signal = np.random.random(512)
signal = np.concatenate([zeros(512), rand_signal, zeros(512)])
pitch, confidence = PitchMelodia()(signal)
# Assert that silent portions don't have pitch information
self.assertTrue(all(p == 0.0 for p in pitch[:512]))
self.assertTrue(all(c == 0.0 for c in confidence[:512]))
def testHighPitchResolution(self):
rand_signal = np.random.random(1024)
pitch, confidence = PitchMelodia(binResolution=1)(rand_signal)
# Assert that using high bin resolution produces valid outputs
self.assertIsNotNone(pitch)
self.assertIsNotNone(confidence)
self.assertEqual(len(pitch), 9)
self.assertEqual(len(confidence), 9)
def testRealCase(self):
filename = join(testdata.audio_dir, 'recorded', 'vignesh.wav')
audio = MonoLoader(filename=filename)()
pm = PitchMelodia()
pitch, pitchConfidence = pm(audio)
# np.save reference values for later np.loading
#np.save('pitchmelodiapitch.npy', pitch)
#np.save('pitchmelodiaconfidence.npy', pitchConfidence)
np.loadedPitchMelodiaPitch = np.load(join(filedir(), 'pitchmelodia/pitchmelodiapitch.npy'))
self.assertAlmostEqualVectorFixedPrecision(pitch, np.loadedPitchMelodiaPitch.tolist(), 8)
np.loadedPitchConfidence = np.load(join(filedir(), 'pitchmelodia/pitchmelodiaconfidence.npy'))
self.assertAlmostEqualVectorFixedPrecision(pitchConfidence, np.loadedPitchConfidence.tolist(), 8)
def testRealCaseEqualLoudness(self):
filename = join(testdata.audio_dir, 'recorded', 'vignesh.wav')
audio = MonoLoader(filename=filename)()
pm = PitchMelodia()
eq = EqualLoudness()
eqAudio = eq(audio)
pitch, pitchConfidence = pm(eqAudio)
# np.save reference values for later np.loading
#np.save('pitchmelodiapitch_eqloud.npy', pitch)
#np.save('pitchmelodiaconfidence_eqloud.npy', pitchConfidence)
np.loadedPitchMelodiaPitch = np.load(join(filedir(), 'pitchmelodia/pitchmelodiapitch_eqloud.npy'))
self.assertAlmostEqualVectorFixedPrecision(pitch, np.loadedPitchMelodiaPitch.tolist(), 8)
np.loadedPitchConfidence = np.load(join(filedir(), 'pitchmelodia/pitchmelodiaconfidence_eqloud.npy'))
self.assertAlmostEqualVectorFixedPrecision(pitchConfidence, np.loadedPitchConfidence.tolist(), 8)
def test110Hz(self):
signal = 0.5 * numpy.sin((array(range(10 * 4096))/44100.) * 110 * 2*math.pi)
pm = PitchMelodia()
pitch, confidence = pm(signal)
self.assertAlmostEqual(pitch[50], 110.0, 10)
def test110HzPeakThresholds(self):
signal = 0.5 * numpy.sin((array(range(10 * 4096))/44100.) * 110 * 2*math.pi)
pm_default = PitchMelodia()
pm_hw0 = PitchMelodia(peakFrameThreshold=0)
pm_hw1 = PitchMelodia(peakFrameThreshold=1)
pitch_default, confidence_default = pm_default(signal)
pitch_hw0, confidence_hw0 = pm_hw0(signal)
pitch_hw1, confidence_hw1 = pm_hw1(signal)
self.assertAlmostEqual(pitch_default[50], 110.0, 10)
self.assertAlmostEqual(pitch_hw0[50], 110.0, 10)
self.assertAlmostEqual(pitch_hw1[50], 110.0, 10)
def testDifferentPeaks(self):
signal_55Hz = 0.5 * numpy.sin((array(range(10 * 4096))/44100.) * 55 * 2*math.pi)
signal_85Hz = 0.5 * numpy.sin((array(range(10 * 4096))/44100.) * 85 * 2*math.pi)
signal = signal_55Hz + signal_85Hz
pm = PitchMelodia()
pitch, confidence = pm(signal)
for p in pitch[83:129]: # Adjusted the range to be more clear
self.assertGreater(p, 55)
self.assertLess(p, 85)
def testBelowReferenceFrequency1(self):
signal_50Hz = 1.5 * numpy.sin((array(range(10 * 4096))/44100.) * 50 * 2*math.pi)
pitch, confidence = PitchMelodia()(signal_50Hz)
self.assertAlmostEqual(pitch[10], 100.0, 2)
def testBelowReferenceFrequency2(self):
signal_30Hz = 1.5 * numpy.sin((array(range(10 * 4096))/44100.) * 30 * 2*math.pi)
pitch, confidence = PitchMelodia(referenceFrequency=40)(signal_30Hz)
self.assertAlmostEqual(pitch[10], 60.0, 2)
suite = allTests(TestPitchMelodia)
if __name__ == '__main__':
TextTestRunner(verbosity=2).run(suite)