midi

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Visual C++

asdfa.txt：源码内容

							figure(1)
plot(data_in_window)
figure(2)
plot(correlation_of_window)
figure(3)
plot(diff1)
figure(4);
plot(correlation_of_window(2:end));hold on
plot(correlation_of_window( 1 : (length(correlation_of_window)-1) ));hold off;
figure(5)
plot(diff2)
[y,fs]=wavread('c:hum测试数据2完美生活_歌词.wav');
load h;
yf=filter(h,1,y);
%----------无LP----------
pitch = Pitch_Detection_Autocorrelation(y,fs,30,20);
t=0:0.02:(length(pitch)-1)*0.02;
figure;plot(t,pitch);
title('La noLP 4430');
title('La noLP 70-1000');
%------------------------
%----------LP1000----------
pitch = Pitch_Detection_Autocorrelation(yf,fs,30,20);
t=0:0.02:(length(pitch)-1)*0.02;
figure;plot(t,pitch);
title('La LP1000 4430');
title('La LP1000 70-1000');
%------------------------
%-------中值滤波---------
mm=zeros(length(pitch)-4,1);
for i=1:(length(pitch)-4)
    mm(i)=median(pitch(i:(i+4)));
end
figure;plot(mm);
title('La LP1000 4430 Median');
title('La LP1000 70-1000 Median');
title('La noLP 4430 Median');
title('La noLP 70-1000 Median');
%------------------------
pitch = Pitch_Detection_Autocorrelation(yf,fs,30,20);
figure;plot(t,pitch);
title(' 无LP ');
title('LP1000')
mm=zeros(length(pitch_h)-4,1);
for i=1:(length(pitch_h)-4)
    mm(i)=median(pitch_h(i:(i+4)));
end

						