gbfcosmfcc.m

用matlab来实现MFCC的提取

%%%%%文件"mfcc.m"
function ccc=gbfcosmfcc(x)
%归一化mel滤波器组系数
bank=melbankm(24,256,16000,0,0.5,'m');
bank=full(bank);
bank=bank/max(bank(:));

%DCT系数，12*24
for k=1:12
    n=0:23;
    dctcoef(k,:)=cos((2*n+1)*k*pi/(2*24));
end
%归一化倒谱提升窗口
w=1+6*sin(pi*[1:12]./12);
w=w/max(w);

%预加重滤波器
xx=double(x);
xx=filter([1 -1],1,xx);
xx=x;   %zhang add

%语音信号分帧
%xx=enframe(xx,256,80);
xppl=length(xx);
j=1;
for i=65:80:xppl-256,
    xx1(j,:)=xx(i:i+256-1)';
    j=j+1;
end
xx=xx1;

%计算每帧的MFCC参数
for i=1:size(xx,1)
    y=xx(i,:);
    s=y'.*hamming(256);
    t=abs(fft(s));
    t=t.^2;
    t=t+2*realmin;
    log(bank*t(1:129))
    c1=dctcoef*log(bank*t(1:129))
    c11=Disfrcthe(1,24)*log(bank*t(1:129))
    c2=c1.*w';
    m(i,:)=c2';
end
%差分参数
dtm=zeros(size(m));
for i=3:size(m,1)-2
    dtm(i,:)=-2*m(i-2,:)-m(i-1,:)+m(i+1,:)+2*m(i+2,:);
end
dtm=dtm/3;

%合并mfcc参数和一阶差分mfcc参数
ccc=[m dtm];
%去除首尾两帧，因为这两帧的一阶差分参数为0
ccc=ccc(3:size(m,1)-2,:);
return