语音合成与识别

开发平台：

Matlab

whole.m：源码内容

							%read wave
Fs=8000;
mywave=wavrecord(2*Fs,Fs);
wavplay(mywave,Fs);
ave_wave=sum(mywave)/(2*Fs);
end_wave=mywave-ave_wave;
%E(i),Z(i),Z_opt(i)
Z_cmp=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=0.4;
E_low=0.2;
Z_low=15;
start1=1;
end1=1;
for i=2:Nframe
    if E(i)>E_high && E(i-1)<E_high
        start1=i;
    end 
    if E(i)<E_high && E(i-1)>E_high 
        end1=i;
    end
    %%%%%%%%%%%%%
end
i=start1;
while E(i)>E_low && i>1
    i=i-1;
end
start2=i;
i=end1;
while E(i)>E_low && i<Nframe
    i=i+1;
end
end2=i;
i=start2;
while Z_opt(i)>Z_low && i>1
    i=i-1;
end
start3=i;
%plot
i=(start3-10)*80:(end2+10)*80;
x1=start1;
y1=-1:0.01:1;
x2=end1;
y=-1:0.01:1;
%hold;
figure;
plot(i,end_wave(i));
hold;
plot(start3*80,y);
plot(end2*80,y);
hold off;
for i=start3:end2
    [A,C]=lpc(end_wave((i-1)*80+1:(i-1)*80+160));
    ac=[A,C];
    model_test(i-start3+1,:)=ac;
end
%A(),C()
%for i=start3:end2
%    [A,C]=lpc(end_wave((i-1)*80+1:(i-1)*80+160));
%    ac=[A,C];
%    filey(i-start3+1,:)=ac;
%end
%fid = fopen('exp.txt','w');
%fprintf(fid,'%6.8f b%6.8fn',filey);
%fclose(fid);

						