% Evaluate utterance-based recognition rate for speaker identification

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

% ====== Inside test
fprintf('Inside test:\n');
[overallRecogRate, confMat, speakerSet1]=speakerIdentify(speakerSet1, gmm, sidOpt.useIntGmm);
fprintf('Overall inside-test recognition rate is %.2f%%.\n', overallRecogRate*100);
listPersonRr(speakerSet1, confMat);

% ====== Outside test for speakerSet2
fprintf('Outside test for speakerSet2:\n');
if isempty(speakerSet2)
	return;
end
[overallRecogRate2, confMat2, speakerSet2]=speakerIdentify(speakerSet2, gmm, sidOpt.useIntGmm);
fprintf('Overall outside-test recognition rate is %.2f%%.\n', overallRecogRate2*100);
listPersonRr(speakerSet2, confMat2);
% ====== Plot confusion matrix
className={speakerSet1.name};
figure; confMatPlot(confMat2, className);
eval(['print -dpng output\png\', mfilename]);
fprintf('%s ===> %g seconds\n', mfilename, etime(clock, tInit));