def getChords(spectra): chords = [] for chromum in getChroma(spectra): chord, score = Pitch.getChord(chromum) chords.append(chord) return chords
def getChords(spectra):
chords = []
for chromum in getChroma(spectra):
chord, score = Pitch.getChord(chromum)
chords.append(chord)
return chords
def writeCsv(sampling,frames,output):
csvfile = open(output, 'wb');
writer = csv.writer(csvfile, delimiter=',',
quotechar='"', quoting=csv.QUOTE_MINIMAL);
writer.writerow(["Timestamp",
"ZCR",
"Spectrum Variance",
"RMS",
"STE",
"Pitch",
"ZCR diff.",
"Spec. Var. diff.",
"RMS diff.",
"STE diff."]);
prev_zcr = 0.;
prev_var = 0.;
prev_rms = 0.;
prev_ste = 0.;
for i in xrange(0,len(frames)):
windowSize = len(frames[i]) - 1
timestamp = "%0.3f" % (sampling[i] / float(freq))
chord, score = Pitch.getChord(frames[i].spectrum().chroma())
diff_zcr = frames[i].zcr() - prev_zcr;
diff_var = frames[i].spectrum().variance() - prev_var;
diff_rms = frames[i].rms() - prev_rms;
diff_ste = frames[i].energy(windowSize)[0] - prev_ste;
row = [timestamp,
frames[i].zcr(),
frames[i].spectrum().variance(),
frames[i].rms(),
frames[i].energy(windowSize)[0],
score,
diff_zcr,
diff_var,
diff_rms,
diff_ste];
writer.writerow(row);
prev_zcr = frames[i].zcr();
prev_var = frames[i].spectrum().variance();
prev_rms = frames[i].rms();
prev_ste = frames[i].energy(windowSize)[0];
print "The result is written on %s" % output
print o
print "Extracting Frames"
frames = audiofile.framesFromOnsets(o)
#for i in range(0, len(frames)):
# print "Frame " + str(i)
# plt.plot(frames[i])
# plt.show()
#frameSize = 16384
#frames = audioFile.frames(frameSize)
print "Start | End | Chord | (% match)"
print "-------------------------------"
frameIndex = 0
startIndex = 0
for frame in frames:
spectrum = frame.spectrum()
chroma = spectrum.chroma()
chord, score = Pitch.getChord(chroma)
endIndex = startIndex + len(frame)
startTime = startIndex / frame.sampleRate
endTime = endIndex / frame.sampleRate
print "%.2f | %.2f | %-4s | (%.2f)" % (startTime, endTime, chord, score)
frameIndex = frameIndex + 1
startIndex = startIndex + len(frame)
def chroma(self):
"""
Compute the 12-ET chroma vector from this spectrum
"""
return Pitch.chroma(self)
def chroma(self):
"""
Compute the 12-ET chroma vector from this spectrum
"""
return Pitch.chroma(self)
def getNotes(spectra): return [Pitch.naivePitch(spectrum) for spectrum in spectra]
print "Extracting Frames"
frames = audiofile.framesFromOnsets(o)
#for i in range(0, len(frames)):
# print "Frame " + str(i)
# plt.plot(frames[i])
# plt.show()
#frameSize = 16384
#frames = audioFile.frames(frameSize)
print "Start | End | Chord | (% match)"
print "-------------------------------"
frameIndex = 0
startIndex = 0
for frame in frames:
spectrum = frame.spectrum()
chroma = spectrum.chroma()
print chroma
chord, score = Pitch.getChord(chroma)
endIndex = startIndex + len(frame)
startTime = startIndex / frame.sampleRate
endTime = endIndex / frame.sampleRate
print "%.2f | %.2f | %-4s | (%.2f)" % (startTime, endTime, chord, score)
frameIndex = frameIndex + 1
startIndex = startIndex + len(frame)
def getNotes(spectra):
return [Pitch.naivePitch(spectrum) for spectrum in spectra]
