/
passenger_DOA_test.m
142 lines (133 loc) · 3.88 KB
/
passenger_DOA_test.m
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% Mutual Correlation Function with Different Speakers
% Author: Shu Wang
% Center for Secure Information System
% George Mason University
%% clear all
clear;
clc;
close all;
addpath( './Functions' );
addpath( './Plot' );
addpath( './Records' );
%% Set Buffer
data = []; % training data
mark = []; % marking signal or noise
label = []; % labeling the direction
data_test = []; % testing data
label_test = []; % testing label
%% Set parameters
L = 512; % window length
d = 64; % internal length
S0 = 64; % Max Shift S0 <= d
P_th = 0.570; % Power Threshold
%% read auto-correlation
[MC, MK] = mutualcorread( 'passenger1.wav', L, d, S0, P_th );
LB = (1/sqrt(2)) * ones( size(MC,1), 1 );
data = [data; MC];
mark = [mark; MK];
label = [label; LB];
data_test = [data_test; data(3313, :)];
label_test = [label_test; label(3313, :)];
% 6067
count1 = zeros(1, 2*S0+1);
index1 = [];
for i = 1 : length(data)
if mark(i) == 1
%plot(-S0:S0, data(i,:));
[~, ind] = max(data(i,:));
count1(ind) = count1(ind) + 1;
index1 = [index1, ind];
%fprintf('%d, %d\n', i, ind-S0-1);
%pause
end
end
%plot(-S0:S0, count1);
[MC, MK] = mutualcorread( 'passenger2.wav', L, d, S0, P_th );
LB = (-1/sqrt(2)) * ones( size(MC,1), 1 );
data = [data; MC];
mark = [mark; MK];
label = [label; LB];
data_test = [data_test; data(6067+571, :)];
label_test = [label_test; label(6067+571, :)];
% 6015
count2 = zeros(1, 2*S0+1);
index2 = [];
for i = 6068 : length(data)
if mark(i) == 1
%plot(-S0:S0, data(i,:));
[~, ind] = max(data(i,:));
count2(ind) = count2(ind) + 1;
index2 = [index2, ind];
%fprintf('%d, %d\n', i, ind-S0-1);
%pause
end
end
%plot(-S0:S0, count2);
[MC, MK] = mutualcorread( 'passenger3.wav', L, d, S0, P_th );
LB = (0.25) * ones( size(MC,1), 1 );
data = [data; MC];
mark = [mark; MK];
label = [label; LB];
data_test = [data_test; data(6067+6015+366, :)];
label_test = [label_test; label(6067+6015+366, :)];
% 5751
count3 = zeros(1, 2*S0+1);
index3 = [];
for i = (6068+6015) : length(data)
if mark(i) == 1
%plot(-S0:S0, data(i,:));
[~, ind] = max(data(i,:));
count3(ind) = count3(ind) + 1;
index3 = [index3, ind];
%fprintf('%d, %d\n', i, ind-S0-1);
%pause
end
end
%plot(-S0:S0, count3);
[MC, MK] = mutualcorread( 'passenger4.wav', L, d, S0, P_th );
LB = (0.93) * ones( size(MC,1), 1 );
data = [data; MC];
mark = [mark; MK];
label = [label; LB];
data_test = [data_test; data(6067+6015+5751+1161, :)];
label_test = [label_test; label(6067+6015+5751+1161, :)];
% 6547
count4 = zeros(1, 2*S0+1);
index4 = [];
for i = (6068+6015+5751) : length(data)
if mark(i) == 1
%plot(-S0:S0, data(i,:));
[~, ind] = max(data(i,:));
count4(ind) = count4(ind) + 1;
index4 = [index4, ind];
%fprintf('%d, %d\n', i, ind-S0-1);
%pause
end
end
%plot(-S0:S0, count4);
%% Plot the self-correlation curves for all the speakers.
% Normalize using the maximum value.
% x = 10 .^ x;
figure;
for i = [1,2,4,3]
[m, ~] = max(data_test(i, :));
rdata(i, :) = 10 .^ ( data_test(i,:) / m );
x = -30:30;
plot(-x, rdata(i,x+65));
hold on;
end
title('Cross Correlation Function of Different Seats')
xlabel('Offset Value s');
ylabel('Cross Correlation Value');
legend('Driver', 'Passenger1', 'Passenger2', 'Passenger3');
%%
figure;
x = -30:30;
plot(-x, count1(35:95)); hold on;
plot(-x, count2(35:95)); hold on;
plot(-x, count4(35:95)*0.8); hold on;
plot(-x, count3(35:95)/2); hold on;
title('Cross Correlation Statistics of Different Seats')
xlabel('Offset Value s');
ylabel('# Signal Segments');
legend('Driver', 'Passenger1', 'Passenger2', 'Passenger3');