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By: mokhov

I would be curious to see how you getting your results here. Also, something
more obvious struck me here that I forgot to ask you: do you do any 
normalization
and filtering (like noise/silence)? It is important in general for the sample
data to be normalized by amplitude [-1;1] prior doing FFT, and sometimes after
doing the FFT. As a side note it also helps to remove any silence gaps as well
as noise. For instance instantiating marf.Preprocessing.FFTFilter.LowPasFilter
on your loaded sample, then invoking its methods preprocess(), removeSilence()
(note having LowPassFilter itself implies noise removal of noise that is usually
happening on high frequencies). preprocess() does call normalize() and filter()
for you. Give it a try and see if this helps your results.

-s

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