test.m

说话人识别测试阶段建立说话人模型

clear;
% disp('训练样本')
% A='voice\\01\\F01A%d.wav'
% % T1=train(A,10);
% B='voice\\02\\F02A%d.wav'
% T2=train(B,10);
% C='voice\\03\\F03A%d.wav'
% T3=train(C,10);
% D='voice\\04\\F04A%d.wav'
% T4=train(D,10);
% E='voice\\05\\F05A%d.wav'
% T5=train(E,10);
% T=[T1,T2,T3,T4,T5];
%%%%%%%%%%%%  训练样本数据保存在   T.mat 文件中
load T;
disp('测试样本（识别说话人）')
S=wavread('voice\\05\\F05A15.wav');%待识别的语音
fs=8000;
R=mfcc(S,20,fs);
P=mean(R,2);
m=0;
N=size(T,2);
for k=1:N
    D=(sum((T(:,k)-P).*(T(:,k)-P))).^(1/2);
    m=m+1;
    r(m)=D;
end
    [L,i]=min(r,[],2)
    result = sprintf('Speaker S matches with speaker %d',i); 
    disp(result);