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Matlab

coefficient.m：源码内容

							%clear all;%计算共振峰参数的仿真
function [f2,f3,q2,q3]=coefficient(x)
x=double(x);
x=x/max(abs(x));
x=filter([1 -0.9375],1,x);
w=1/6+sin(pi*[1:12]./12);
w=w/max(w);
w=w*0.375;
[x1,x2]=vad(x);
y=enframe(x,160,80);
x2=floor(x2);
f=zeros(1,500);
q=1;
for m=x1:x2
    xs=y(m,:);
    a=lpc(xs,12);
    a=real(a(2:13));
    lpcc=lpc2lpcc(a);
    lpcc=lpcc'.*w;
    formant=fft(lpcc,64);
    for p=2:33
        if ((abs(formant(p-1))<abs(formant(p)))&&(abs(formant(p))>abs(formant(p+1))))
            f(q)=8000*(p-1)/64;
            q=q+1;
        else
            continue;
        end
    end
end
q2=1;
q3=1;
%f2=zeros(1,q);
%f3=zeros(1,q);
for q1=1:q
    if (800<f(q1))&&(f(q1)<1300)
        f2(q2)=f(q1);
        q2=q2+1;
    elseif (1300<f(q1))&&(f(q1)<2650)
        f3(q3)=f(q1);
        q3=q3+1;
    else
        continue;
    end
end
q2=length(f2);
q3=length(f3);
temp=f2(1);
%去除毛刺
for i=2:q2-1
    temp1=(temp+f2(i)+f2(i+1))/3;
    temp=f2(i);
    f2(i)=temp1;
end
temp=f3(1);
for i=2:q3-1
    temp1=(temp+f3(i)+f3(i+1))/3;
    temp=f3(i);
    f3(i)=temp1;
end
%subplot(2,1,1),plot(f2),axis([1 q2 800 1300]),title('第二共振峰轨迹');
%subplot(2,1,2),plot(f3),axis([1 q3 1300 2650]),title('第三共振峰轨迹');    

						