% Evaluate utterance-based recognition rate for speaker identification

tInit=clock;
addMyPath;
paramSet;
load output\mat\speakerSet.mat
if maxSpeakerNum<length(speakerSet1)
	speakerSet1(maxSpeakerNum+1:end)=[];
	speakerSet2(maxSpeakerNum+1:end)=[];
end
load output\mat\gmmParam

% ====== Inside test
fprintf('Inside test:\n');
[overallRecogRate, confMat, speakerSet1]=getExePerf(speakerSet1, gmm);
fprintf('Recognition rate for each person:\n');
recog=zeros(length(speakerSet1),1);
for i=1:length(speakerSet1)
	recog(i)=confMat(i,i)/sum(confMat(i,:));
end
[junk, index]=sort(recog);
for i=1:length(index)
	fprintf('\t%s ===> %.2f%%\n', speakerSet1(index(i)).name, recog(index(i))*100);
end
fprintf('Overall inside-test recognition rate is %.2f%%.\n', overallRecogRate*100);

% ====== Outside test
fprintf('Outside test:\n');
[overallRecogRate, confMat, speakerSet2]=getExePerf(speakerSet2, gmm);
fprintf('Recognition rate for each person:\n');
recog=zeros(length(speakerSet2),1);
for i=1:length(speakerSet2)
	recog(i)=confMat(i,i)/sum(confMat(i,:));
end
[junk, index]=sort(recog);
for i=1:length(index)
	fprintf('\t%s ===> %.2f%%\n', speakerSet2(index(i)).name, recog(index(i))*100);
end
fprintf('Overall outside-test recognition rate is %.2f%%.\n', overallRecogRate*100);
className={speakerSet1.name};
figure; confMatPlot(confMat, className);
eval(['print -dpng output\png\', mfilename]);
fprintf('%s ===> %g seconds\n', mfilename, etime(clock, tInit));