?? blockframes.txt
字號:
function M3 = blockFrames(s, fs, m, n)
% blockFrames: Puts the signal into frames
%
% Inputs: s contains the signal to analize
% fs is the sampling rate of the signal
% m is the distance between the beginnings of two frames
% n is the number of samples per frame
%
% Output: M3 is a matrix containing all the frames
%
%
%%%%%%%%%%%%%%%%%%
% Mini-Project: An automatic speaker recognition system
%
% Responsible: Vladan Velisavljevic
% Authors: Christian Cornaz
% Urs Hunkeler
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
M3(:, i) = fft(M2(:, i));
end
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