13.07.2015 Views

Proceedings Fonetik 2009 - Institutionen för lingvistik

Proceedings Fonetik 2009 - Institutionen för lingvistik

Proceedings Fonetik 2009 - Institutionen för lingvistik

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

<strong>Proceedings</strong>, FONETIK <strong>2009</strong>, Dept. of Linguistics, Stockholm UniversityFor the test of speaker JA the new world modelimproved the test result significantly. The correctmodel now gets a very high score (0.53)and even though the second best has a positiveLLR (0.03) it is very low.LLRFigure 8. Result for test 2 speaker HV against allenrolled models.Also for this test the new world model improvesthe correct LLR and creates a larger distanceto the other models.LLRFigure 9. Result for test 2 impostor speaker MHagainst all enrolled models.In the male impostor test for test 2 we obtaineda rather peculiar result where the male impostorgets a positive LLR for a female target model.The lack of female training data in the worldmodel is most probably the explanation for that.LLR0,20,10-0,1-0,2-0,3-0,4-0,50,10-0,1-0,2-0,4-0,5-0,6LLR Score Test 2 Speaker HVLLR Score Test 2 Imposter Speaker MHF F M M M M M F F M M M MEB KC PN RA AE JA HV JV UV JL JaL SS TL-0,3 MhimMhimMhimMhimMhimMhimMhimMhimMhimMhimMhimMhimMhim0,80,70,60,50,40,30,20,10-0,1M M F M F F M M F M M M MHV AE UV SS KC EB RA JaL JV JL PN JA TLHV_t HV_t HV_t HV_t HV_t HV_t HV_t HV_t HV_t HV_t HV_t HV_t HV_tTest SpeakerTest SpeakerLLR Score Test 2 Imposter Speaker HEM M F M M F M M F F M M MAE HV UV TL PN EB JaL JA JV KC RA JL SSHEimHEimHEimHEimHEimHEimHEimHEimHEimHEimHEimHEimHEimTest SpeakerFigure 10. Result for test 2 female impostor speakerHE against all enrolled models.When it comes to the female impostor the resultit becomes even clearer that female trainingdata is missing in the world model. All scoresexcept 1 are positive and some of the scoresvery high.ConclusionsThis first step included a successful implementationof open source tools, building a testframework and scripting procedures for text-independentspeaker comparison. A small pilotstudy on performance of high quality recordingswere made. We can conclude that it is notsufficient to train a UBM using only malespeakers if you want the system to be able tohandle any incoming voice. However, fordemonstration purposes and comparison betweensmall amounts of data it is sufficient touse the technique.ReferencesBoersma, Paul & Weenink, David (<strong>2009</strong>).Praat: doing phonetics by computer (Version5.1.04) [Computer program]. RetrievedApril 4, <strong>2009</strong>, from http://www.praat.org/Bonastre, J-F, Wils, F. & Meigner, S. (2005)ALIZE, a free toolkit for speaker recognition,in <strong>Proceedings</strong> of ICASSP, 2005, pp.737–740.Bonastre, J-F, Scheffer, N., Matrouf, C., Fredouille,A., Larcher, A., Preti, A.,Pouchoulin, G., Evans, B., Fauve, B. & Mason,J.S. (2008) ALIZE/SpkDet: a state-ofthe-artopen source software for speaker recognition.In Odyssey 2008 - The Speakerand Language Recognition Workshop,2008.Eriksson, A. (2004) SweDia 2000: A Swedishdialect database. In Babylonian ConfusionResolved. Proc. Nordic Symposium on theComparison of Spoken Languages, ed. by P.J. Henrichsen, Copenhagen Working Papersin LSP 1 – 2004, 33–48Guillaume, G. (2004) SPro: speech signal processingtoolkit, Software available at http://gforge.inria.fr/projects/spro .Martin, A. F. and Przybocki, M. A. (1999) TheNIST 1999 Speaker Recognition Evaluation-AnOverview. Digital Signal Processing10: 1–18.Reynolds, D. A., Quatieri, T. F., Dunn, R. B.,(2000) Speaker Verification Using AdaptedGaussian Mixture Models, Digital SignalProcessing, 2000.197

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!