ComputeJFAStats.cpp

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// ComputeJFAStats.cpp
// 
// This file is a part of Mistral Package and LIA Software 
// LIA_SpkDet, based on Mistral_Ral toolkit 
// LIA_SpkDet is a free, open tool for speaker recognition
// LIA_SpkDet is a development project initiated and funded by the LIA lab.
//
// See mistral.univ-avignon.fr 
// 
// ALIZE is needed for LIA_SpkDet
// for more information about ALIZE, see http://alize.univ-avignon.fr
//
// Copyright (C) 2004 - 2005 - 2006 - 2007 -2008
//  Laboratoire d'informatique d'Avignon [www.lia.univ-avignon.fr]
//  Jean-Francois Bonastre [jean-francois.bonastre@univ-avignon.fr]
//      
// Mistral 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 2.1 of the License, or (at your option) any later version.
// This software 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 library; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
//
// The LIA team as well as the ALIZE project want to highlight the limits of voice authentication
// in a forensic context. 
// The following paper proposes a good overview of this point:
// [Bonastre J.F., Bimbot F., Boe L.J., Campbell J.P., Douglas D.A., Magrin-chagnolleau I.,
//  Person  Authentification by Voice: A Need of Caution,
//  Eurospeech 2003, Genova]
// The conclusion of the paper of the paper is proposed bellow:
// [Currently, it is not possible to completely determine whether the
//  similarity between two recordings is due to the speaker or to other
//  factors, especially when: (a) the speaker does not cooperate, (b) there
//  is no control over recording equipment, (c) recording conditions are not 
//  known, (d) one does not know whether the voice was disguised and, to a
//  lesser extent, (e) the linguistic content of the message is not
//  controlled. Caution and judgment must be exercised when applying speaker
//  recognition techniques, whether human or automatic, to account for these
//  uncontrolled factors. Under more constrained or calibrated situations,
//  or as an aid for investigative purposes, judicious application of these
//  techniques may be suitable, provided they are not considered as infallible.
//  At the present time, there is no scientific process that enables one to
//  uniquely characterize a person=92s voice or to identify with absolute
//  certainty an individual from his or her voice.]
//
// Contact Jean-Francois Bonastre (jean-francois.bonastre@lia.univ-avignon.fr) for
// more information about the licence or the use of LIA_SpkDet
// First version 15/07/2004
// New version 23/02/2005
// 
// Last review 4 nov 2008
//

#if !defined(ALIZE_ComputeJFAStats_cpp)
#define ALIZE_ComputeJFAStats_cpp

#include <iostream>
#include <fstream>  
#include <cstdio> 
#include <cassert> 
#include <cmath>
#include <cstdlib>

#include "liatools.h"
#include "ComputeJFAStats.h"
#include "AccumulateJFAStat.h"

using namespace alize;
using namespace std;

int ComputeJFAStats(Config &config){

        String ndxFilename = config.getParam("ndxFilename");
        
        //Creation de l'accumulateur
        JFAAcc jfaAcc(ndxFilename, config);
        
        //Calcul des statistiques
        jfaAcc.computeAndAccumulateJFAStat(config);
        
        //sauve les accumulateurs
        jfaAcc.saveAccs(config);
        

return 0;
}
#endif