-
Notifications
You must be signed in to change notification settings - Fork 525
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
Showing
1 changed file
with
85 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,85 @@ | ||
#!/usr/bin/env python | ||
|
||
# Copyright (C) 2006-2016 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 * | ||
|
||
|
||
class TestTriangularBands(TestCase): | ||
def testRegression(self): | ||
# Simple regression test, comparing normal behaviour | ||
audio = MonoLoader(filename = join(testdata.audio_dir, 'generated/synthesised/sin440_sweep_0db.wav'), | ||
sampleRate = 44100)() | ||
|
||
fft = Spectrum() | ||
window = Windowing(type = 'hamming') | ||
fbands = TriangularBands(sampleRate = 44100) | ||
|
||
for frame in FrameGenerator(audio, frameSize = 2048, hopSize = 512): | ||
bands = fbands(fft(window(frame))) | ||
|
||
self.assert_(not any(numpy.isnan(bands))) | ||
self.assert_(not any(numpy.isinf(bands))) | ||
self.assert_(all(bands >= 0.0)) | ||
|
||
# input is a flat spectrum: | ||
input = [1]*1024 | ||
sr = 44100. | ||
binfreq = 0.5*sr/(len(input)-1) | ||
fbands = [8*x*binfreq for x in range(6)] | ||
# expected energies in each band are 1 due to normalization | ||
expected = [1, 1, 1, 1] | ||
output = TriangularBands(frequencyBands=fbands, log=False)(input) | ||
self.assertEqualVector(output, expected) | ||
|
||
""" | ||
def testSingleBand(self): | ||
# input is a flat spectrum | ||
input = [1]*1024 | ||
# frequency bin weights are normalized to sum up to 1 within each band | ||
# therefore, the expected value is 1 | ||
self.assertAlmostEqualVectorFixedPrecision(TriangularBands(frequencyBands=[0, 22050./2, 22050], log=False)(input), [1.], 6) | ||
def testZero(self): | ||
# Inputting zeros should return null band energies | ||
nbands = [0, 100, 200, 300] | ||
fband = TriangularBands(frequencyBands=nbands) | ||
self.assertEqualVector(fband(zeros(1024)), zeros(len(nbands)-2)) | ||
self.assertEqualVector(fband(zeros(10)), zeros(len(nbands)-2)) | ||
def testInvalidParam(self): | ||
# Test that we must give valid frequency ranges or order | ||
self.assertConfigureFails(TriangularBands(), { 'frequencyBands':[] }) | ||
self.assertConfigureFails(TriangularBands(), { 'frequencyBands': [-1] }) | ||
self.assertConfigureFails(TriangularBands(), { 'frequencyBands': [100] }) | ||
self.assertConfigureFails(TriangularBands(), { 'frequencyBands': [100, 200] }) | ||
self.assertConfigureFails(TriangularBands(), { 'frequencyBands': [0, 200, 100] }) | ||
self.assertConfigureFails(TriangularBands(), { 'frequencyBands': [0, 200, 200, 400] }) | ||
def testEmpty(self): | ||
# Test that FrequencyBands on an empty vector should return null band energies | ||
self.assertComputeFails(TriangularBands(), []) | ||
""" | ||
|
||
suite = allTests(TestTriangularBands) | ||
|
||
if __name__ == '__main__': | ||
TextTestRunner(verbosity=2).run(suite) |