CovIntraMain.cpp

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00001 /*
00002 This file is part of LIA_RAL which is a set of software based on ALIZE
00003 toolkit for speaker recognition. ALIZE toolkit is required to use LIA_RAL.
00004 
00005 LIA_RAL project is a development project was initiated by the computer
00006 science laboratory of Avignon / France (Laboratoire Informatique d'Avignon -
00007 LIA) [http://lia.univ-avignon.fr <http://lia.univ-avignon.fr/>]. Then it
00008 was supported by two national projects of the French Research Ministry:
00009         - TECHNOLANGUE program [http://www.technolangue.net]
00010         - MISTRAL program [http://mistral.univ-avignon.fr]
00011 
00012 LIA_RAL is free software: you can redistribute it and/or modify
00013 it under the terms of the GNU Lesser General Public License as
00014 published by the Free Software Foundation, either version 3 of
00015 the License, or any later version.
00016 
00017 LIA_RAL is distributed in the hope that it will be useful,
00018 but WITHOUT ANY WARRANTY; without even the implied warranty of
00019 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
00020 GNU Lesser General Public License for more details.
00021 
00022 You should have received a copy of the GNU Lesser General Public
00023 License along with LIA_RAL.
00024 If not, see [http://www.gnu.org/licenses/].
00025 
00026 The LIA team as well as the LIA_RAL project team wants to highlight the
00027 limits of voice authentication in a forensic context.
00028 The "Person Authentification by Voice: A Need of Caution" paper
00029 proposes a good overview of this point (cf. "Person
00030 Authentification by Voice: A Need of Caution", Bonastre J.F.,
00031 Bimbot F., Boe L.J., Campbell J.P., Douglas D.A., Magrin-
00032 chagnolleau I., Eurospeech 2003, Genova].
00033 The conclusion of the paper of the paper is proposed bellow:
00034 [Currently, it is not possible to completely determine whether the
00035 similarity between two recordings is due to the speaker or to other
00036 factors, especially when: (a) the speaker does not cooperate, (b) there
00037 is no control over recording equipment, (c) recording conditions are not
00038 known, (d) one does not know whether the voice was disguised and, to a
00039 lesser extent, (e) the linguistic content of the message is not
00040 controlled. Caution and judgment must be exercised when applying speaker
00041 recognition techniques, whether human or automatic, to account for these
00042 uncontrolled factors. Under more constrained or calibrated situations,
00043 or as an aid for investigative purposes, judicious application of these
00044 techniques may be suitable, provided they are not considered as infallible.
00045 At the present time, there is no scientific process that enables one to
00046 uniquely characterize a persones voice or to identify with absolute
00047 certainty an individual from his or her voice.]
00048 
00049 Copyright (C) 2004-2010
00050 Laboratoire d'informatique d'Avignon [http://lia.univ-avignon.fr]
00051 LIA_RAL admin [alize@univ-avignon.fr]
00052 Jean-Francois Bonastre [jean-francois.bonastre@univ-avignon.fr]
00053 */
00054 
00055 #if !defined(ALIZE_CovIntraMain_cpp)
00056 #define ALIZE_CovIntraMain_cpp
00057 
00058 #include <iostream>
00059 #include "liatools.h"
00060 #include "CovIntra.h"
00061 extern "C" {
00062 #include "svdlib.h" 
00063 }
00064 
00065 /* ******************************
00066 Cov Intra: Compute the NAP matrix with an eigenvalue decomposition of CC'.
00067 Find eigenvalues of C with svdlibc, thanks authors: C=Ut.S.V, where S*S are eigenvalues of CC'
00068 Ut left eigenvectors are saved.
00069 C is found by computing channel covariance (remove supervector mean for each spealer)
00070 */
00071 
00072 int main(int argc, char* argv[]){
00073 
00074         ConfigChecker cc;
00075 try {
00076         cc.addStringParam("ndx",true,true,"NDX of multiple GMM speaker recordings");
00077         cc.addStringParam("channelMatrix",true,true,"Output file for matrix");  
00078         cc.addIntegerParam("nbEigenVectors",true,true,"nb factors");    
00079         cc.addStringParam("svd",false,false,"do the svd");      
00080         cc.addStringParam("gmm",false,false,"get mean super vector from gmms");
00081         cc.addIntegerParam("vsize",false,false,"size of vectors");      
00082         
00083         CmdLine cmdLine(argc, argv);
00084         if (cmdLine.displayHelpRequired()){
00085                 cout <<"CovIntra.exe"<<endl<<"This program is used to compute covariance channel matrix (and optionally do the svd)"
00086            <<endl<<cc.getParamList()<<endl;
00087         return 0;  
00088         }
00089         if (cmdLine.displayVersionRequired()) cout <<"Version 2-beta"<<endl;
00090         Config tmp;
00091         cmdLine.copyIntoConfig(tmp);
00092         Config config;
00093         if (tmp.existsParam("config")) config.load(tmp.getParam("config"));
00094         cmdLine.copyIntoConfig(config);
00095         cc.check(config);
00096         debug=config.getParam_debug();
00097         if (config.existsParam("verbose"))verbose=config.getParam("verbose").toBool();
00098         else verbose=false;
00099         if (verbose) verboseLevel=1;else verboseLevel=0;
00100         if (config.existsParam("verboseLevel"))verboseLevel=config.getParam("verboseLevel").toLong();
00101         if (verboseLevel>0) verbose=true;        
00102         //if (config.existsParam("binary")) CovIntraBin(config);
00103         CovIntra(config);
00104         }
00105 catch (Exception& e) {cout << e.toString() << cc.getParamList() << endl;}
00106 } 
00107 #endif