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Results tagged with mfcc
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user 18542
Related to the calculation, verification, usage, and requirements for Mel Frequency Cepstral Coefficients.
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Comparing MFCC Features ,What do they represent?
Like already said, an eye inspection in this case is not possible since the data is just to high-dimensional. Thus what you want to do is to inspect the difference magnitudes of the frequencies per ti …
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MFCC coefficients
Source: How to get MFCC from FFT
import numpy
from scipy.fftpack import dct
from scipy.io import wavfile
sampleRate, signal = wavfile.read("file.wav")
numCoefficients = 13 # choose the sive of mfcc array … numpy.fft(signal)
powerSpectrum = abs(complexSpectrum) ** 2
filteredSpectrum = numpy.dot(powerSpectrum, melFilterBank())
logSpectrum = numpy.log(filteredSpectrum)
dctSpectrum = dct(logSpectrum, type=2) # MFCC …
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1
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1
answer
885
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Principal Component Analysis as a step between STFT and MFCC
My question: Does it make a significant difference if I calculate the STFTs, perform a PCA-transform on them and then calculate the MFCC compared to computing the PCA-transform at the very end on the MFCCs … In both cases we have two dimensionality reductions (PCA and MFCC) and I'm not sure weather the order makes a difference. …
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