def writeRegressionPitchtrack(self,originalPitchtrackFilename,regressionPitchtrackFilename,representation):
'''
write regression pitch track
:param originalPitchtrackFilename:
:param regressionPitchtrackFilename:
:param representation:
:return:
'''
if regressionPitchtrackFilename:
with open(regressionPitchtrackFilename, 'w+') as outfile:
# non-voice insertion
representationNpArray = np.array(representation)
# maxIndexRepresentation = max(representationNpArray[:,0])
frameStartingTime, originalPitchtrack = self.ptSeg1.readPyinPitchtrack(originalPitchtrackFilename)
lenFrame = len(frameStartingTime)
wholeIndex = range(2,int(lenFrame)+1)
outfile.write('frame'+','+'time'+','+'pitch'+','+'freq'+','+'noteStr'+'\n')
for wi in wholeIndex:
if wi in representationNpArray[:,0]:
wiIndex = np.where(representationNpArray[:,0]==wi)[0][0]
value = representationNpArray[wiIndex,1] # if value is in regression pitchtrack
freq = uf.midi2pitch(value)
noteStr = uf.cents2pitch(uf.hz2cents(float(freq)))
else:
value = -100.0 # if value is NOT in regression pitchtrack
freq = -100.0
noteStr = 'null'
outfile.write(str(wi)+','
+str(wi*float(self.nc1.hopsize)/self.nc1.samplerate)+','
+str(value)+','
+str(freq)+','
+noteStr+'\n')
def writeRegressionPitchtrack(self,originalPitchtrackFilename,regressionPitchtrackFilename,representation):
'''
write regression pitch track
:param originalPitchtrackFilename:
:param regressionPitchtrackFilename:
:param representation:
:return:
'''
if regressionPitchtrackFilename:
with open(regressionPitchtrackFilename, 'w+') as outfile:
# non-voice insertion
representationNpArray = np.array(representation)
# maxIndexRepresentation = max(representationNpArray[:,0])
frameStartingTime, originalPitchtrack = self.ptSeg1.readPyinPitchtrack(originalPitchtrackFilename)
lenFrame = len(frameStartingTime)
wholeIndex = range(2,int(lenFrame)+1) # sonicVisualizer Index start from 2
outfile.write('frame'+','+'time'+','+'pitch'+','+'freq'+','+'noteStr'+'\n')
for wi in wholeIndex:
if wi in representationNpArray[:,0]:
wiIndex = np.where(representationNpArray[:,0]==wi)[0][0]
value = representationNpArray[wiIndex,1] # if value is in regression pitchtrack
freq = uf.midi2pitch(value)
noteStr = uf.cents2pitch(uf.hz2cents(float(freq)))
else:
value = -100.0 # if value is NOT in regression pitchtrack
freq = -100.0
noteStr = 'null'
outfile.write(str(wi)+','
+str(wi*float(self.nc1.hopsize)/self.nc1.samplerate)+','
+str(value)+','
+str(freq)+','
+noteStr+'\n')
def pltRepresentationHelper(self,xboundary,y,representation,pitchHz):
for jj in range(len(y)):
if pitchHz:
yout = uf.midi2pitch(y[jj])
else:
yout = y[jj]
representation.append([xboundary[jj],yout])
return representation
def pltRepresentationHelper(self,xboundary,y,representation,pitchHz):
for jj in range(len(y)):
if pitchHz:
yout = uf.midi2pitch(y[jj])
else:
yout = y[jj]
representation.append([xboundary[jj],yout])
return representation
