📄 training.m
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function codebook = training(train_dir,n);
% train_dir : string name of directory contains all train sound files
% n : number of train files in traindir
% codebook : trained VQ codebooks, code{i} for i-th speaker
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Speaker Recognition System %
% %
% Project mmembers: (1) Habib ur Rehn=man %
% (2) Abdul Basit %
% Date: 12-05-2003 %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
global s
global fs
global v
k = 16; % number of centroids required
for i = 1:n % train a VQ codebook for each speaker
file = sprintf('%ss%d.wav', train_dir, i);
[s,fs] = wavread(file,12948);
v= mfcc(s,fs); % Compute MFCC's
codebook{i} = vector_quant(v,k); % Train VQ codebook
end
testing('train\',codebook);
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