Abstract
On the one hand, commercial biometric systems and forensic identification require different approaches in order to evaluate system outputs. On the other hand, bayesian approach for evidence analysis and forensic reporting perfectly suits the needs of the court and the forensic scientist. Inside this bayesian framework, any biometric system can be adapted to provide its results in the form of likelihood ratios (LR) (being so converted in a forensic identification system), and performance of the forensic system can be then assessed according to the bayesian approach. We will focus on a specific biometric characteristic, showing how forensic speaker recognition can be reported by means of bayesian technique. Results including NIST-Ahumada and providing LR scores in the form of Tippet plots (and compared with DET plots) will be finally presented.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Martin, A. et al., “The DET curve in assessment of detection task performance”, Proc. EuroSpeech’97,pp. 1895–1898, Rhodes (Greece), 1997
Robertson, B., Vignaux, G.A., Interpreting Evidence-Evaluating Forensic Science in the Courtroom, Wiley, Chichester (UK), 1995
Foster, K.R., and P.W. Huber, Judging Science: Scientific Knowledge and the Federal Courts, MIT Press, Cambridge MA (USA), 1997
Broeders, A.P.A., “Forensic Speech and Audio Analysis: the State of the Art in 2000 AD”, Proc. of SEAF-2000 (1st National Conference of the Spanish Forensic Acoustics Society), Ed. J. Ortega-Garcia, Madrid (Spain), 2000
Champod, C., Meuwly, D., “The Inference of Identity in Forensic Speaker Recognition”, Speech Communication, vol. 31, pp. 193–203, June 2000
Evett, I.W., “Towards a Uniform Framework for Reporting Opinions in Forensic Science Casework”, Science & Justice 1998: 38(3), pp. 198–202
Champod, C., “Overview and Meaning of Identification”, Encyclopedia of Forensic Sciences, pp. 1077–1084, Academic Press, 2000
Aitken, C.G.C., “Statistical Interpretation of Evidence/Bayesian Analysis”, Encyclopedia of Forensic Sciences, pp. 717–724, Academic Press, 2000
Tippet C.F. et al., “The evidential value of the comparison of paint flakes from sources other than vehicles”, Journal of the Forensic Science Society, vol. 8, pp. 61–65, 1968
Evett, I.W. and Buckleton, J.S., “Statistical Analysis of STR (short tandem repeat) data”, Advances in Forensic Haemogenetics, A. Carracedo, B. Brickmann, and W. Bär, Editors. Springer-Verlag: Heidelberg, pp. 79–86, 1996
Taroni, F., Aitken, C.G.C., “Forensic Science at Trial”, Jurimetrics J. 37, 327–337, 1997
André-Obrecht, R. (ed.), Special Issue on Speaker Recognition and its Commercial and Forensic Applications, Speech Communication, pp. 87–270, Elsevier, 2000
Reynolds, D.A., “Speaker Identification and Verification Using Gaussian Mixture Models”, Speech Communication, vol. 17, pp. 91–108, Elsevier, 1995
Meuwly, D., Drygajlo, A., “Forensic Speaker Recognition based on a Bayesian Framework and Gaussian Mixture Modeling”, Proc. of Odyssey’2001 ISCA Speaker Recognition Workshop, Crete (Greece), 2001
Gonzalez-Rodriguez, J., Ortega-Garcia, J., Lucena-Molina, J.J., “On the Application of the Bayesian Framework to Real Forensic Conditions with GMM-based Systems”, Proc. of Odyssey’2001 ISCA Speaker Recognition Workshop, pp. 135–138, Crete (Greece), 2001
Gonzalez-Rodriguez, J., Ortega-Garcia, J., and Lucena-Molina, J.J., “Bayesian Evaluation of Speech Evidences with IdentiVox Automatic Speaker Recognition System”, Joint ENFSI-IAFP (European Network of Forensic Science Institutes-International Association of Forensic Phonetics) Meeting, Paris (France), July 2001
Ortega-Garcia, J., Gonzalez-Rodriguez, J., Marrero-Aguiar, V., “AHUMADA: a Large Speech Corpus in Spanish for Speaker Characterization and Identification”, Speech Communication, vol. 31, pp. 255–264, June 2000
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gonzalez-Rodriguez, J., Fiérrez-Aguilar, J., Ortega-Garcia, J., Lucena-Molina, J.J. (2002). Biometric Identification in Forensic Cases According to the Bayesian Approach. In: Tistarelli, M., Bigun, J., Jain, A.K. (eds) Biometric Authentication. BioAW 2002. Lecture Notes in Computer Science, vol 2359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-47917-1_18
Download citation
DOI: https://doi.org/10.1007/3-540-47917-1_18
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43723-9
Online ISBN: 978-3-540-47917-8
eBook Packages: Springer Book Archive