📄 mfcc.m
字号:
function v= mfcc(s,fs)
% s: No of points
% fs: Sampling rate
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Speaker Recognition System %
% %
% Project mmembers: (1) Habib ur Rehn=man %
% (2) Abdul Basit %
% Date: 12-05-2003 %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
N=256; % size of each frame
M=156; % overlap size
nof=40; % number of filters
len=80;
sel=30;
a(1:N,1:len)=0; % framing the signal with overlap
a(:,1)=s(1:N);
for j=2:len
a(:,j)=s((N-M)*j+1:(N-M)*j+N);
end;
h= hamming(N); % windowing
for j=1:len;
b(:,j)= a(:,j).* h;
end;
m=melfilterbank(nof,N,fs); % normailising to mel freq
for j=1:len
y(:,j)=fft(b(:,j)); % calculating fft
n2 = 1 + floor(N/2);
ms = m * abs(y(1:n2,j)).^2;
v(:,j)=dct(log(ms)); % converting back to time domain
end;
v(1,:)=[];
⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -