def GetTimeEnvelope(self, x):
# pad the beginning and end with zeros so we fix time issues
xPad = zeros(self.fftParams.N/2)
xPad = concatenate([xPad, x, xPad])
X = M.spectrogram(xPad, self.fftParams.N, self.fftParams.h, self.fftParams.winfunc(self.fftParams.N))
X = np.array(X)
return llspect.SpectralFlux(X, self.fftParams, 1)
def GetTimeEnvelope(self, x):
# pad the beginning and end with zeros so we fix time issues
xPad = zeros(self.fftParams.N / 2)
xPad = concatenate([xPad, x, xPad])
X = M.spectrogram(xPad, self.fftParams.N, self.fftParams.h,
self.fftParams.winfunc(self.fftParams.N))
X = np.array(X)
return llspect.SpectralFlux(X, self.fftParams, 1)
def GetEventMFCCs(eventSegments, fftParams, mfccParams, debug):
''' For audio event segments, get the mfccs for each. '''
mfccSegments = []
for i in np.arange(len(eventSegments)):
X = M.spectrogram(eventSegments[i], fftParams.N, fftParams.h, fftParams.winfunc(fftParams.N))
#take log magnitude
mfcc = llspect.MFCC_Normalized(X, mfccParams, fftParams)
mfccSegments.append(mfcc)
if debug:
print "\t MFCC:", mfcc.shape
#print "\t ",mfcc
return mfccSegments
def GetEventMFCCs(eventSegments, fftParams, mfccParams, debug):
''' For audio event segments, get the mfccs for each. '''
mfccSegments = []
for i in np.arange(len(eventSegments)):
X = M.spectrogram(eventSegments[i], fftParams.N, fftParams.h,
fftParams.winfunc(fftParams.N))
#take log magnitude
mfcc = llspect.MFCC_Normalized(X, mfccParams, fftParams)
mfccSegments.append(mfcc)
if debug:
print "\t MFCC:", mfcc.shape
#print "\t ",mfcc
return mfccSegments
