📄 nosigcorr.m
字号:
function fmask=nosigcorr(fmask,enermask,wholesigL,wholesigR,tc,Fs,NFFT,WINDOW,NOVERLAP,numlags)%%% if poor quality signals are correlated with one of the final signals, their corresponding masks are%%% merged. The final signal is then reestimated from the merged mask. ywholeL=sg(wholesigL,NFFT,Fs,WINDOW,NOVERLAP);ywholeR=sg(wholesigR,NFFT,Fs,WINDOW,NOVERLAP);Nsig=length(fmask)Nesig=length(enermask)for i=1:Nsig str=strcat('finalstereo',num2str(i),'.wav'); s=wavread(str); x(:,i)=s(:,1);%%%just keep one of the stereo signals y(:,i)=s(:,2);end% for j=1:Nesig% str=strcat('enerstereo',num2str(j),'.wav');% s=wavread(str);% xe(:,j)=s(:,1);%%%just keep one of the stereo signals% %y(:,j)=s(:,2);% end todelete=[]; changed=[]; xc0=zeros(Nsig,Nesig);for i=1:Nsig for j=1:Nesig str=strcat('enerstereo',num2str(j),'.wav'); s=wavread(str); xe=s(:,1); xco(i,j)=max(xcorr(x(:,i),xe,numlags,'coeff')); endendfor i=1:Nsig for j=1:Nesig if xco(i,j)>tc && xco(i,j)== max(xco(:,j))%%% it is probably a reasonable threshold the other ensures that the mask is only added to one of the signals. if(issparse(enermask{j})) enermask{j}=full(enermask{j}); end % sfm=sum(sum(fmask{i})); % sfe=sum(sum(enermask{j})); fmask{i}=fmask{i}+enermask{j}-fmask{i}.*enermask{j}; %%the second term makes any value which is 2 to be 1 % sf=sum(sum(fmask{i})) yL=ywholeL.*fmask{i}; yR=ywholeR.*fmask{i}; todelete=[todelete,j]; changed=[changed,i]; x(:,i)=invspecgram((yL),NFFT,Fs, (WINDOW),NOVERLAP); y(:,i)=invspecgram((yR),NFFT,Fs, (WINDOW),NOVERLAP); enermask{j}=sparse(enermask{j}); end end endxcotodeletechanged%enermask(todelete)=[];for i=1:length(fmask) stestr=strcat('finalstereo',int2str(i),'.wav'); wavwrite([x(:,i),y(:,i)],Fs,stestr);endfor j=1:Nesig stestr=strcat('enerstereo',int2str(j),'.wav');% delete(stestr);end
⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -