?? mfcc.m
字號:
function r = mfcc(s, fs)
% MFCC
%
% Inputs: s contains the signal to analize
% fs is the sampling rate of the signal
%
% Output: r contains the transformed signal
%
%
%%%%%%%%%%%%%%%%%%
% Mini-Project: An automatic speaker recognition system
%
% Responsible: Vladan Velisavljevic
% Authors: Christian Cornaz
% Urs Hunkeler
m = 100;
n = 256;
l = length(s);
nbFrame = floor((l - n) / m) + 1;
for i = 1:n
for j = 1:nbFrame
M(i, j) = s(((j - 1) * m) + i);
end
end
h = hamming(n);
M2 = diag(h) * M;
for i = 1:nbFrame
frame(:,i) = fft(M2(:, i));
end
t = n / 2;
tmax = l / fs;
m = melfb(20, n, fs);
n2 = 1 + floor(n / 2);
z = m * abs(frame(1:n2, :)).^2;
r = dct(log(z));
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