function [ si ] = langendijk2002_comp( target,template,varargin )
%LANGENDIJK2002_COMP Comparison process according to Langendijk et al. (2002)
% Usage: [ si ] = langendijk2002_comp( target,template )
% [ si ] = langendijk2002_comp( target,template,s,do,flags )
%
% Input parameters:
% target : modified DFT for one target position and both ears
% template : internal DTF-templates for all positions and both ears
%
% Output parameters:
% si : monaural similarity indices (one for each template entry)
%
% LANGENDIJK2002_COMP compares the spectral features of an internal spectral
% representation of a target sound with an internal template. As spectral
% similarity criterion either the crosscorrelation coefficient ('xcorr')
% or a mapped version of the standard deviation of inter-spectral
% differences ('std') can be used.
%
% The function accepts the following optional parameters:
%
% 's',s Standard deviation of transforming Gaussian function
% (only for comparison process: std).
% The default value is 2.
%
% 'do',do Differential order. The default value is 0.
%
% 'std' Use the 'std' comparison process. This is the default.
%
% 'xcorr' Use the 'xcorr' comparison process.
%
% See also: langendijk2002
%
% Url: http://amtoolbox.org/amt-1.4.0/doc/modelstages/langendijk2002_comp.php
% #StatusDoc: Perfect
% #StatusCode: Perfect
% #Verification: Verified
% #Requirements: none
% #Author : Robert Baumgartner (2013), OEAW Acoustical Research Institute
% This file is licensed unter the GNU General Public License (GPL) either
% version 3 of the license, or any later version as published by the Free Software
% Foundation. Details of the GPLv3 can be found in the AMT directory "licences" and
% at <https://www.gnu.org/licenses/gpl-3.0.html>.
% You can redistribute this file and/or modify it under the terms of the GPLv3.
% This file is distributed without any warranty; without even the implied warranty
% of merchantability or fitness for a particular purpose.
definput.import={'langendijk2002_comp'};
[flags,kv]=ltfatarghelper({'s','do'},definput,varargin);
%% Optional differentiation
if kv.do ~= 0
target = diff(target,kv.do);
template = diff(template,kv.do);
end
%% Comparison process
if flags.do_std
idiff = repmat(target,[1,size(template,2),1]) - template;
sigma = squeeze(std(idiff,1));
si = exp(-0.5 * (sigma./kv.s).^2) ./ (sqrt(2*pi) .* kv.s); % normpdf
elseif flags.do_xcorr
r = zeros(size(template,2),size(template,3));
for ch = 1:size(template,3)
for ii = 1:size(template,2)
tmp = corrcoef(target(:,ch),template(:,ii,ch));
r(ii,ch) = tmp(2);
end
end
si = (r+1)/2;
end
end