How to Train and Test any .wav file in a project to recognize the speaker.

Please help me. I am having a problem. Thank you very much.

+ My "train" file is running by default for 8 files from s1-s8 in "tran \ data \". But I just want it to train an audio file whenever, for different people (each person only trains once any time).

+ I want the same thing for my "test" file.

• Here is my "train" code:

function code = train(traindir, n)

% Speaker Recognition: Training Stage

%

% Input:

% traindir : string name/path of directory contains all train sound files

% n : number of train files in traindir

%

% Output:

% code : trained VQ codebooks, code{i} for i-th speaker

%

% Note:

% Sound files in traindir is supposed to be:

% s1.wav, s2.wav, ..., sn.wav

k = 16; % number of centroids required

for i=1:n % train a VQ codebook for each speaker

% i = {i};

file = sprintf('%s\\s%d.wav', traindir, i);

disp(file);

[s, fs] = audioread(file);

v = mfcc(s, fs); % Compute MFCC's

code{i} = vqCodeBook(v, k); % Train VQ codebook

end

• here is my "test" code:

function test(testdir, n, code)

% Speaker Recognition: Testing Stage

%

% Input:

% testdir : string name of directory contains all test sound files

% n : number of test files in testdir

% code : codebooks of all trained speakers

%

% Note:

% Sound files in testdir is supposed to be:

% s1.wav, s2.wav, ..., sn.wav

%

% Example:

% >> test('C:\data\test\', 8, code);

for k=1:n % read test sound file of each speaker

file = sprintf('%ss%d.wav', testdir, k);

[s, fs] = audioread(file);

v = mfcc(s, fs); % Compute MFCC's

distmin = inf;

k1 = 0;

for l = 1:length(code) % each trained codebook, compute distortion

d = distance(v, code{l});

dist = sum(min(d,[],2)) / size(d,1);

if dist < distmin

distmin = dist;

k1 = l;

end

end

msg = sprintf('Speaker %d matches with speaker %d', k, k1);

disp(msg);

end