def test_rms(self):
audio = audiodata.io.open(sample_1)
cidx = audio.extract_channel(0)
channel = audio.get_channel(cidx)
chanvol = ChannelVolume(channel)
audiovol = AudioVolume(audio)
self.assertEqual(chanvol.volume(), channel.rms())
self.assertEqual(audiovol.volume(), audio.rms())
self.assertEqual(chanvol.len(), int(channel.get_duration()/0.01) + 1)
self.assertEqual(chanvol.min(), audiovol.min())
self.assertEqual(chanvol.max(), audiovol.max())
self.assertEqual(int(chanvol.mean()), int(audiovol.mean()))
self.assertEqual(int(chanvol.variance()), int(audiovol.variance()))
self.assertEqual(int(chanvol.stdev()), int(audiovol.stdev()))
print " - median: ", round(audiovol.median(),2)
print " - stdev: ", round(audiovol.stdev(),2)
print " - coefvariation: ", round(audiovol.coefvariation(),2)
else:
for n in range(nc):
print "Channel %d:"%(n)
cidx = audio.extract_channel(n)
channel = audio.get_channel(cidx)
# Values related to amplitude
frames = channel.get_frames(channel.get_nframes())
ca = AudioFrames(frames, channel.get_sampwidth(), 1)
for i in range(2,9,2):
f = float(i)/10.
c = ca.clipping_rate( f ) * 100.
print " - factor=%.1f: %.3f"%(f,c)
# RMS (=volume)
cv = ChannelVolume( channel )
print " Volume:"
print " - min: ", cv.min()
print " - max: ", cv.max()
print " - mean: ", round(cv.mean(),2)
print " - median: ", round(cv.median(),2)
print " - stdev: ", round(cv.stdev(),2)
print " - coefvariation: ", round(cv.coefvariation(),2)
# ----------------------------------------------------------------------------