Voice Audio Processing: mirrored=mirrorfft(newcoeff,coeff); - File Exchange

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Highlights from
Voice Audio Processing

[deltaFs,fftSpect,halfSpect]=... Compute the FFT on the sampled signal
[fullFFT]=loudness2(fscale,co... function: given a range of frequencies [inf,sup]
[newcoeff]=loudness(fscale,co... find the indexes in the frequency scale
fullFFT=scaledown(coeff,n) function: scale down the frequency components
fullFFT=scaleup(coeff,n) function: scale up the frequency components
fullFFT=shiftdown(coeff,n) shift down the frequencies by n steps
fullFFT=shiftup(coeff,n) wav file in PCM forma to morph
mirrored=mirrorfft(newcoeff,c... this function make consistent the FFT that has been modified
newcoeff=pitchshift(coeff,nsh... wav file in PCM forma to morph
newspectrum=cthresh(spectrum,... Thresholding funcion on the module of the spectrum
playFile(y,Fs,filename) play original
plotSpectrum(fscale,spectrum) function: plot the spectrum
plotSpectrumColor(fscale,spec... plot the magnitude
plotTime(tscale,signal)
assignment1a.m
assignment1b.m
assignment1c.m
assignment1d.m
assignment1e.m
squaring.m
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from Voice Audio Processing by Paolo Di Prodi
Basic processing of audio samples in wav format, using fourier transformation.

mirrored=mirrorfft(newcoeff,coeff);

%this function make consistent the FFT that has been modified
%only in the first part
function mirrored=mirrorfft(newcoeff,coeff);
% index of the odd frequency unpaired
M=floor(length(coeff)/2)+1;
% complex coniugate of the first half
fftconj=conj(flipdim(newcoeff(2:end),1));
mirrored=[newcoeff; coeff(M); fftconj];
end

Highlights from Voice Audio Processing

Highlights from
Voice Audio Processing