% Collect the data for su/v detection
%	Roger Jang, 20060327, 20070417

clear all;
toolboxAdd;				% Add toolboxes to the search path. Modify toolboxAdd.m to use your locations of the toolboxes.
waveDir='trainDataByRoger';		% Directory of wave files. Change this to the directory holding everyone's recordings.

fprintf('Collecting wave data and features from "%s"...\n', waveDir);
pvData=recursiveFileList(waveDir, 'pv');	% Collect all wave files
for i=1:length(pvData)
	pvFile=pvData(i).path;
	waveFile=strrep(pvFile, '.pv', '.wav');
	fprintf('%d/%d ==> Collect features from %s\n', i, length(pvData), waveFile);
	[pvData(i).inData, pvData(i).outData, inputName, pvData(i).annotation]=mySuvFeaExtract(waveFile);
end

% Save the collect data to DS.mat
DS.inputName=inputName;
DS.input=[pvData.inData];
DS.output=double([pvData.outData])+1;	% Make the output 1 or 2
DS.outputName={'No pitch', 'With pitch'};
DS.annotation=[pvData.annotation];		% Pay attention: This is [], not {}!
fprintf('Save DS to DS.mat ...\n');
save DS.mat DS