语音合成与识别

开发平台：

Matlab

setmodel.asv：源码内容

							model(:,:)=zeros;
Fs=8000;
mywave=wavrecord(2*Fs,Fs);
wavplay(mywave,Fs);
%ave_wave=sum(mywave)/(2*Fs);
end_wave=mywave-mean(mywave);
%E(i),Z(i),Z_opt(i)
Z_cmp=3*mean(abs(end_wave(100:500)));%0.02;
Nframe=2*Fs/80-1;
for i=1:Nframe;
      E(i)=(end_wave((i-1)*80+1))^2;
      Z(i)=0;
      Z_opt(i)=0;  
    for j=2:160
        E(i)=E(i)+end_wave((i-1)*80+j)^2;
        Z(i)=Z(i)+abs(sign(end_wave((i-1)*80+j))-sign(end_wave((i-1)*80+j-1)));
        Z_opt(i)=Z_opt(i)+abs(sign(end_wave((i-1)*80+j)-Z_cmp)-sign(end_wave((i-1)*80+j-1)-Z_cmp));   
    end
    Z(i)=Z(i)/2;
    Z_opt(i)= Z_opt(i)/2;
end
%start and end
E_high= 0.3;
E_low=20*mean(E(1:10));%%%%%%%%%0.2;
Z_low=2*mean(Z_opt(1:10));%%%%%%%%%%%15;
start=1;
end0=1;
for i=2:Nframe
    if E(i)>E_high && E(i-1)<E_high
        start=i;
    end 
    if E(i)<E_high && E(i-1)>E_high 
        end0=i;
    end
    if end0-start>15
        start1=start;
        end1=end0;
    end
    %%%%%%%%%%%%%
end
i=start1;
while E(i)>E_low && i>1
    i=i-1;
end
start2=i+1;
i=end1;
while E(i)>E_low && i<Nframe
    i=i+1;
end
end2=i-1;
i=start2;
while Z_opt(i)>Z_low && i>1
    i=i-1;
end
start3=i;
%plot
%i=1:Fs*2;%%%%%%%%
i=(start3-5)*80:(end2+4)*80;
y=-1:0.01:1;
 
figure(1);
plot(i,end_wave(i));
hold;
plot(start3*80,y);
plot(end2*80,y);
hold off;
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%lpc%%%%%%%
for i=start3:end2
    [A,C,F]=lpc(end_wave((i-1)*80+1:(i-1)*80+160));
    acf=[A,C,F];
    model(i-start3+1,:)=acf;
end

						