kannu mehta (view profile)


The given programme calculates the mfcc coefficients of a given speech signal

function FMatrix=kannumfcc(num,s,Fs)
%Author:        Olutope Foluso Omogbenigun
%Email:         olutopeomogbenigun at
%University:    London Metropolitan University
%Date:          11/09/07
%Syntax:        M=mfccf(num,s, Fs);
%Computes and returns the mfcc coefficients for a speech signal s
%where num is the required number of MFCC coefficients. It utilises the 
%function 'melbankm' from the toolbox Voicebox by Mike Brooks copyright(c)
%1997 (GNU General Public License), freely available on the internet, 
%to implement the triangular mel filter bank

n=512;              %Number of FFT points
Tf=0.025;           %Frame duration in seconds
N=Fs*Tf;            %Number of samples per frame
fn=24;              %Number of mel filters
l=length(s);        %total number of samples in speech
Ts=0.01;            %Frame step in seconds
FrameStep=Fs*Ts;    %Frame step in samples
b=[1, -0.97];       %a and b are high pass filter coefficients

noFrames=floor(l/FrameStep);    %Maximum no of frames in speech sample
FMatrix=zeros(noFrames-2, num); %Matrix to hold cepstral coefficients
lifter=1:num;                   %Lifter vector index
lifter=1+floor((num)/2)*(sin(lifter*pi/num));%raised sine lifter version

if mean(abs(s)) > 0.01
    s=s/max(s);                     %Normalises to compensate for mic vol differences

%Segment the signal into overlapping frames and compute MFCC coefficients
for i=1:noFrames-2
    frame=s((i-1)*FrameStep+1:(i-1)*FrameStep+N);  %Holds individual frames
    Ce1=sum(frame.^2);          %Frame energy
    Ce2=max(Ce1,2e-22);         %floors to 2 X 10 raised to power -22
    framef=filter(b,a,frame);   %High pass pre-emphasis filter
    F=framef.*hamming(N);       %multiplies each frame with hamming window
    FFTo=fft(F,N);              %computes the fft
    melf=melbankm(fn,n,Fs);     %creates 24 filter, mel filter bank
    spectr1=log10(melf*abs(FFTo(1:halfn)).^2);%result is mel-scale filtered
    c=dct(spectr);              %obtains DCT, changes to cepstral domain
    c(1)=Ce;                    %replaces first coefficient
    coeffs=c(1:num);            %retains first num coefficients
    ncoeffs=coeffs.*lifter';    %Multiplies coefficients by lifter value
    FMatrix(i, :)=ncoeffs';     %assigns mfcc coeffs to succesive rows i

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