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压缩包中的一系列matlab程序实现了“特定人群语音情感识别”这一新颖的研究课题。具体介绍请见压缩包中的论文。

p1mean=mean(out.p(1,:)),
b1mean=mean(out.b(1,:)),
f1mean=mean(out.f(1,:)),
g1mean=mean(out.g(1,:)),
j1mean=mean(out.j(1,:)),
% p1var=var(out.p(1,:)),
% b1var=var(out.b(1,:)),
% f1var=var(out.f(1,:)),
% g1var=var(out.g(1,:)),
% j1var=var(out.j(1,:)),
p2mean=mean(out.p(2,:)),
b2mean=mean(out.b(2,:)),
f2mean=mean(out.f(2,:)),
g2mean=mean(out.g(2,:)),
j2mean=mean(out.j(2,:)),
% p2var=var(out.p(2,:)),
% b2var=var(out.b(2,:)),
% f2var=var(out.f(2,:)),
% g2var=var(out.g(2,:)),
% j2var=var(out.j(2,:)),
p3mean=mean(out.p(3,:)),
b3mean=mean(out.b(3,:)),
f3mean=mean(out.f(3,:)),
g3mean=mean(out.g(3,:)),
j3mean=mean(out.j(3,:)),
% p3var=var(out.p(3,:)),
% b3var=var(out.b(3,:)),
% f3var=var(out.f(3,:)),
% g3var=var(out.g(3,:)),
% j3var=var(out.j(3,:)),
figure;
plot(out.p(1,:),'g*'),hold on;plot(out.b(1,:),'mo'),hold on;plot(out.f(1,:),'rx'),hold on;plot(out.g(1,:),'cd'),hold on;plot(out.j(1,:),'b+');
figure(2);
plot(out.p(2,:),'g*'),hold on;plot(out.b(2,:),'mo'),hold on;plot(out.f(2,:),'rx'),hold on;plot(out.g(2,:),'cd'),hold on;plot(out.j(2,:),'b+');
figure(3);
plot(out.p(3,:),'g*'),hold on;plot(out.b(3,:),'mo'),hold on;plot(out.f(3,:),'rx'),hold on;plot(out.g(3,:),'cd'),hold on;plot(out.j(3,:),'b+');