train2.m

最全的ASR工具集合

% function code = train(traindir, n)
% Speaker Recognition: Training Stage
%
% Input:
%       traindir : string name 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
% Example:
%       >> code = train('C:\data\train\', 8);

k = 16;                         % number of centroids required

for i = 1:3                     % train a VQ codebook for each speaker
    file = sprintf('%ssly%d.wav', 'data\train\16000\', i);           
    disp(file);
    if ischar(file)
        [s, fs] = wavread(file);
        v = mfcc(s, fs);            % Compute MFCC's  20*1137
       code{i} = vqlbg(v, k);      % Train VQ codebook   20*16
   end
end

% 产生20*16的code矩阵，20是MFCC系数个数，16是码字长