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).