function [recognitionRate] = LenDependClassify(data)

warning off;
prm;

sylAccuracy = [];
meanAccuracy = [];
dataNum = 0;
hitNum = 0;
for i = 1:length(data)
    if ~isempty(data{i})
        [RR, missDataIdx] = stressClassify(data{i}, 2);
        dataNum = dataNum + length(data{i}.name);
        hitNum = hitNum + RR*length(data{i}.name)/100;
        sylAccuracy = [sylAccuracy, RR];
        
    end
end


%recognitionRate = mean(sylAccuracy);
recognitionRate = 100*hitNum/dataNum;
sylAccuracy = [sylAccuracy, recognitionRate];
xlswrite('output/sylRR_allUtt', sylAccuracy, 'A2:E2');

fprintf('Word Length-dependent Accuracy = %.2f %%\n', recognitionRate);