Contents

clear all
close all

Stage 01

%----------------------------------------------------------------------------------------------------
filenames1 = {'~jsadural/yamaha/Experiment_Results/experiment02/stage01/experiment02_Subject01.dat';
	      %'~jsadural/yamaha/Experiment_Results/experiment02/stage01/experiment02_Subject02.dat';
	      '~jsadural/yamaha/Experiment_Results/experiment02/stage01/experiment02_Subject03.dat';
	      '~jsadural/yamaha/Experiment_Results/experiment02/stage01/experiment02_Subject04.dat';
	      '~jsadural/yamaha/Experiment_Results/experiment02/stage01/experiment02_Subject05.dat';
	      '~jsadural/yamaha/Experiment_Results/experiment02/stage01/experiment02_Subject06.dat';
	      '~jsadural/yamaha/Experiment_Results/experiment02/stage01/experiment02_Subject07.dat'};

Notes

We removed Subject 02 because it was biased (wasn't listening almost anything)

threshold = 1500; %ms
H = databarplot(filenames1,threshold,'Experiment 2 - Stage01');
[DATA,SubjectID,Date,MaskID_vec] = expdata2mat(filenames1{1});
H1 =

     1

Current plot held

H2 =

     2

Results,

Maskers 10 (211) 13 (221) and 26 (332) Are the best ones. We select 10 and 13, since 26 is very annoying and "creepy". They correspond to frequencies combination: 211 = 107, 210, 420 Hz 221 = 107, 283, 420 Hz

Stage 02

%----------------------------------------------------------------------------------------------------
filenames2 = {'~jsadural/yamaha/Experiment_Results/experiment02/stage02/experiment03_Subject01.dat';
	      '~jsadural/yamaha/Experiment_Results/experiment02/stage02/experiment03_Subject02.dat';
	      '~jsadural/yamaha/Experiment_Results/experiment02/stage02/experiment03_Subject03.dat';
	      '~jsadural/yamaha/Experiment_Results/experiment02/stage02/experiment03_Subject04.dat';
	      '~jsadural/yamaha/Experiment_Results/experiment02/stage02/experiment03_Subject05.dat'};

threshold = 1500; %ms
[DATA,SubjectID,Date,MaskID_vec1] = expdata2mat(filenames2{1});
H = databarplot(filenames2,threshold,'Experiment 2 - Stage02');
H1 =

     3

Current plot held

H2 =

     4

Results,

We select number 10 (1211) because it has one of the bests results, and is not 111 in amplitude (i.e., maximum amplitud in all the bands).

Stage 03

%----------------------------------------------------------------------------------------------------
%filenames4 = {'~jsadural/yamaha/Results04/experiment04_Subject01.dat';
%	     '~jsadural/yamaha/Results04/experiment04_Subject04.dat';
%	     '~jsadural/yamaha/Results04/experiment04_Subject05.dat';
%	      '~jsadural/yamaha/Results04/experiment04_Subject06.dat'};

filenames3 = {'~jsadural/yamaha/Experiment_Results/experiment02/stage03_b/experiment04_Subject01.dat';
	      '~jsadural/yamaha/Experiment_Results/experiment02/stage03_b/experiment04_Subject02.dat';
	      '~jsadural/yamaha/Experiment_Results/experiment02/stage03_b/experiment04_Subject03.dat';
	      '~jsadural/yamaha/Experiment_Results/experiment02/stage03_b/experiment04_Subject04.dat';
	      '~jsadural/yamaha/Experiment_Results/experiment02/stage03_b/experiment04_Subject05.dat';
	      '~jsadural/yamaha/Experiment_Results/experiment02/stage03_b/experiment04_Subject06.dat'};

threshold = 1500; %ms
[DATA,SubjectID,Date,MaskID_vec] = expdata2mat(filenames3{1});
H = databarplot(filenames3,threshold,'Experiment 2 - Stage03');
H1 =

     5

Current plot held

H2 =

     6

Results

The data is not really decisive in this stage. However there seems to be a valley in MaskerNuumber 5 and 6. We choose masker 6 for the next stage in order to get different fcs for each band. Masker 6 = 123

Stage 04

%----------------------------------------------------------------------------------------------------
filenames4 = {'~jsadural/yamaha/Experiment_Results/experiment02/stage04/experiment02_Subject01.dat';
	      '~jsadural/yamaha/Experiment_Results/experiment02/stage04/experiment02_Subject02.dat';
	      '~jsadural/yamaha/Experiment_Results/experiment02/stage04/experiment02_Subject03.dat';
	      '~jsadural/yamaha/Experiment_Results/experiment02/stage04/experiment02_Subject04.dat';
	      '~jsadural/yamaha/Experiment_Results/experiment02/stage04/experiment02_Subject05.dat';
	      '~jsadural/yamaha/Experiment_Results/experiment02/stage04/experiment02_Subject06.dat';
	      '~jsadural/yamaha/Experiment_Results/experiment02/stage04/experiment02_Subject07.dat';
	      '~jsadural/yamaha/Experiment_Results/experiment02/stage04/experiment02_Subject08.dat'};

threshold = 1500; %ms
[H1,H2] = databarplot(filenames4,threshold,'Experiment 2 - Stage04')
%H = databarplot(filenames4,threshold);
[DATA,SubjectID,Date,MaskID_vec] = expdata2mat(filenames4{1});
H1 =

     7

Current plot held

H2 =

     8


H1 =

     7


H2 =

     8

Results

The best one is masker 3 (113).