function exp_georganti2013(varargin)
%EXP_GEORGANTI2013 Figures from Georganti et al. (2013)
% Usage: exp_georganti2013(flag);
%
% EXP_GEORGANTI2013(flags) reproduces figures from Georganti et al. (2013).
%
% The following flags can be specified;
%
% 'fig9' distance estimation for a small room
%
% 'fig10' distance estimation for a large room
%
% The figures show the computed distance-dependent feature
% BSMD-STD (Binaural spectral-magnitude difference standard deviation)
% for audio signals measured at different/receiver distances.
%
% The BSMD-STD may be derived from any dual-channel signal
% (binaural/stereo recordings).
%
% The BSMD-STD is related to the standard deviation of the
% magnitude spectrum of room impulse response, which is known to depend on
% the source/receiver distance. See Georganti et al. (2013) for more
% information on applications.
%
%
% Examples:
% ---------
%
% To display Fig. 9 use :
%
% exp_georganti2013('fig9');
%
% To display Fig. 10 use :
%
% exp_georganti2013('fig10');
%
% See also: georganti2013
%
% References:
% E. Georganti, T. May, S. van de Par, and J. Mourjopoulos. Extracting
% sound-source-distance information from binaural signals. In J. Blauert,
% editor, The Technology of Binaural Listening, Modern Acoustics and
% Signal Processing, pages 171-199. Springer Berlin Heidelberg, 2013.
% [1]http ]
%
% E. Georganti, T. May, S. van de Par, and J. Mourjopoulos. Sound source
% distance estimation in rooms based on statistical properties of
% binaural signals. Audio, Speech, and Language Processing, IEEE
% Transactions on, 21(8):1727-1741, Aug 2013.
%
% References
%
% 1. http://dx.doi.org/10.1007/978-3-642-37762-4_7
%
%
%
% Url: http://amtoolbox.sourceforge.net/amt-0.9.9/doc/experiments/exp_georganti2013.php
% Copyright (C) 2009-2015 Piotr Majdak and the AMT team.
% This file is part of Auditory Modeling Toolbox (AMT) version 0.9.9
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with this program. If not, see <http://www.gnu.org/licenses/>.
% Developed with Matlab 7.1.0.584 (R2010b) v.0.1
% Updated with Matlab R2011b (7.13.0.564) v.1.0
%
% Please send bug reports to:
%
% Author : Eleftheria Georganti
% Postdoctoral Researcher
% Experimental Audiology, ENT
% University Hospital of Zurich/University of Zurich
% Zurich, Switzerland
% eleftheria.georganti@uzh.ch
% History :
% v.0.1 2013/01/21
% v.1.0 2014/06/10 Link to wavfiles & documentation
% v.1.1 2015/01/20 adapted to AMT (Piotr Majdak)
%
%
%*************************************************************************
definput.flags.type = {'missingflag','fig9','fig10'};
% Parse input options
flags = ltfatarghelper({},definput,varargin);
if flags.do_missingflag
flagnames=[sprintf('%s, ',definput.flags.type{2:end-2}),...
sprintf('%s or %s',definput.flags.type{end-1},definput.flags.type{end})];
error('%s: You must specify one of the following flags: %s.',upper(mfilename),flagnames);
end;
% Set model parameters
P.fs = 44100; % Sampling frequency
P.timeFr = 1; % Frame size in seconds
P.fmin = 20; % lower frequency in Hz for the BSDM STD calculation
P.fmax = 2300; % upper frequency in Hz for the BSDM STD calculation
if flags.do_fig9 % Small Room - RT = 0.15 sec
% load signals
nDist(1).name='smallRoomSpeech_0_5m.mat';
nDist(2).name='smallRoomSpeech_1_0m.mat';
nDist(3).name='smallRoomSpeech_1_5m.mat';
% calculate
for ww = 1:length(nDist)
signalPre = amt_load('georganti2013',nDist(ww).name);
BSMDSTD(ww,:) = georganti2013(signalPre.signal,P);
end
% plot BSMD-STDs
figure;
subplot(1,3,[1 2])
plot(BSMDSTD(1,10:210),'k','LineWidth',2)
hold on
plot(BSMDSTD(2,10:210),'Color',[0.6 0.6 0.6],'LineWidth',2)
plot(BSMDSTD(3,10:210),'--k','LineWidth',2)
xlabel('Time (sec)','FontSize',12,'FontWeight','bold')
ylabel('BSMD STD','FontSize',12,'FontWeight','bold')
title ('Small Room - RT = 0.15 sec','FontSize',16,'FontWeight','bold')
ylim([3 8])
xlim([0 200])
legend('0.5m','1m','1.5m','Location','NorthWest')
set(gca,'FontSize',10)
grid on
box on
subplot(1,3,3)
[a1,b1] = hist(BSMDSTD(1,10:210),3:0.1:8);
[a2,b2] = hist(BSMDSTD(2,10:210),3:0.1:8);
[a3,b3] = hist(BSMDSTD(3,10:210),3:0.1:8);
plot(a1/201,b1,'LineWidth',2,'Color','k'); hold on
set(gca,'FontSize',10)
plot(a2/201,b2,'Color',[0.6 0.6 0.6],'LineWidth',2)
plot(a3/201,b3,'LineWidth',2,'Color','k','LineStyle','--')
xlabel('Frequency of occurence (%)','FontSize',10,'FontWeight','bold')
legend('0.5m','1m','1.5m','Location','NorthEast')
box on
xlim([0 0.4])
ylim([3 8])
box on
set(gca,'YTick',[])
grid on
end
if flags.do_fig10 % Large Room - RT = 0.9 sec
% load signals
nDist(1).name='largeRoomSpeech_1m.mat';
nDist(2).name='largeRoomSpeech_2m.mat';
nDist(3).name='largeRoomSpeech_3m.mat';
% calculate
for ww = 1:length(nDist)
signalPre = amt_load('georganti2013',nDist(ww).name);
BSMDSTD(ww,:) = georganti2013(signalPre.signal,P);
end
% plot BSMD-STDs
figure;
subplot(1,3,[1 2])
plot(BSMDSTD(1,10:210),'k','LineWidth',2)
hold on
plot(BSMDSTD(2,10:210),'Color',[0.6 0.6 0.6],'LineWidth',2)
plot(BSMDSTD(3,10:210),'--k','LineWidth',2)
xlabel('Time (sec)','FontSize',12,'FontWeight','bold')
ylabel('BSMD STD','FontSize',12,'FontWeight','bold')
title ('Large Room - RT = 0.9 sec','FontSize',16,'FontWeight','bold')
ylim([2 8.5])
xlim([0 200])
legend('1m','2m','3m','Location','NorthWest')
set(gca,'FontSize',10)
grid on
box on
subplot(1,3,3)
[a1,b1] = hist(BSMDSTD(1,10:210),[3:0.1:8]);
[a2,b2] = hist(BSMDSTD(2,10:210),[3:0.1:8]);
[a3,b3] = hist(BSMDSTD(3,10:210),[3:0.1:8]);
plot(a1/201,b1,'LineWidth',2,'Color','k'); hold on
set(gca,'FontSize',10)
plot(a2/201,b2,'Color',[0.6 0.6 0.6],'LineWidth',2)
plot(a3/201,b3,'LineWidth',2,'Color','k','LineStyle','--')
xlabel('Frequency of occurence (%)','FontSize',10,'FontWeight','bold')
legend('1m','2m','3m','Location','NorthEast')
box on
xlim([0 0.4])
ylim([2 8.5])
box on
set(gca,'YTick',[])
grid on
end