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From Speaker Recognition to Forensic Speaker Recognition

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Biometric Authentication (BIOMET 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8897))

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The goal of this paper is to review automatic systems for forensic speaker recognition (FSR) based on scientifically approved methods for calculation and interpretation of biometric evidence. The objective of this paper is not to promote one speaker recognition method against another, but is to make available to the biometric research community data-driven methodology combining automatic speaker recognition techniques and a rigorous forensic experimental background. Forensic speaker recognition is the process of determining if a specific individual (suspected speaker) is the source of a questioned speech recording (trace). This paper aims at reviewing forensic automatic speaker recognition (FASR) methods that provide a coherent way of quantifying and presenting recorded speech as biometric evidence, as well as the assessment of its strength (likelihood ratio) in the Bayesian interpretation framework compatible with interpretations in other forensic disciplines. Forensic speaker recognition has proven an effective tool in the fight against crime, yet there is a constant need for more research due to the difficulties involved because of the within-speaker (within-source) variability, between-speakers (between-sources) variability, and differences in recording sessions conditions.

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  1. Aitken, C., Taroni, F.: Statistics and the Evaluation of Evidence for Forensic Scientists. John Wiley and Sons, Chichester (2004)

    Book  MATH  Google Scholar 

  2. Alexander, A., Drygajlo, A.: Scoring and Direct Methods for the Interpretation of Evidence in Forensic Speaker Recognition. In: 8th International Conference on Spoken Language Processing (ICSLP 2004), Jeju, Korea, 2397–2400 (2004)

    Google Scholar 

  3. Association of Forensic Science Providers: Standards for the formulation of evaluative forensic science expert opinion. Science and Justice 49, 161–164 (2009)

    Article  Google Scholar 

  4. Bolt, R.H., et al.: On the theory and practice of voice identification. National Academy of Sciences, Washington (1979)

    Google Scholar 

  5. Champod, C., Meuwly, D.: The Inference of Identity in Forensic Speaker Identification. Speech Communication 31(2–3), 193–203 (2000)

    Article  Google Scholar 

  6. Drygajlo, A., Meuwly D., Alexander A.: Statistical Methods and Bayesian Interpretation of Evidence in Forensic Automatic Speaker Recognition. In: Proceedings of 8th European Conference on Speech Communication and Technology (Eurospeech 2003), Geneva, Switzerland, pp. 689–692 (2003)

    Google Scholar 

  7. Drygajlo, A.: Forensic Automatic Speaker Recognition. IEEE Signal Processing Magazine 24(2), 132–135 (2007)

    Article  Google Scholar 

  8. Drygajlo, A.: Statistical Evaluation of Biometric Evidence in Forensic Automatic Speaker Recognition. In: Geradts, Z.J.M.H., Franke, K.Y., Veenman, C.J. (eds.) IWCF 2009. LNCS, vol. 5718, pp. 1–12. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  9. Drygajlo A.: Forensic Evidence of Voice. In: Li, S.Z. (ed.) Encyclopedia of Biometrics, pp. 1388–1395. Springer, New York (2009)

    Google Scholar 

  10. Drygajlo A.: Automatic Speaker Recognition for Forensic Case Assessment and Interpretation. In: Neustein, A., Patil, H. (eds): Forensic Speaker Recognition: Law Enforcement and Counter-Terrorism, ch. 2., pp. 21–39. Springer, New York (2011)

    Google Scholar 

  11. Gonzalez-Rodriguez, J., Drygajlo, A., Ramos-Castro, D., Garcia-Gomar, M., Ortega-Garcia, J.: Robust estimation, interpretation and assessment of likelihood ratios in forensic speaker recognition. Computer Speech and Language 20(2–3), 331–355 (2006)

    Article  Google Scholar 

  12. Jackman, S.: Bayesian Analysis for the Social Sciences. John Wiley and Sons, Chichester (2009)

    Book  Google Scholar 

  13. Jackson, G., Jones, S., Booth, G., Champod, C., Evett, I.: The nature of forensic science opinion-a possible framework to guide thinking and practice in investigations and in court proceedings. Science and Justice 46, 33–44 (2006)

    Article  Google Scholar 

  14. Jain, A. et al. (eds).: Handbook of Biometrics. Springer, New York (2008)

    Google Scholar 

  15. Jamieson, A., Moenssens, A. (eds.): Wiley Encyclopedia of Forensic Science. John Wiley and Sons, Chichester (2011)

    Google Scholar 

  16. Kinnunen T., Li H.: An overview of text-independent speaker recognition: From features to supervectors. Speech Communication 52, 12–40 (2010)

    Google Scholar 

  17. Meuwly, D., Drygajlo, A.: Forensic Speaker Recognition Based on a Bayesian Framework and Gaussian Mixture Modelling (GMM). A Speaker Odyssey, The Speaker Recognition Workshop, Crete, Greece, pp. 145–150 (2001)

    Google Scholar 

  18. Morrison, G.: Forensic Voice Comparison and the Paradigm Shift. Science and Justice 49, 298–308 (2009)

    Article  Google Scholar 

  19. Nolan, F.: The Phonetic Bases of Speaker Recognition. Cambridge University Press, Cambridge (1983) (reissued 2009)

    Google Scholar 

  20. Ramos Castro, D.: Forensic Evaluation of the Evidence using Automatic Speaker Recognition Systems. Ph.D. thesis, Universidad Autonoma de Madrid, Madrid, Spain (2007)

    Google Scholar 

  21. Reynolds, D., Quatieri, T., Dunn, R.: Speaker verification using adapted Gaussian mixture models. Digital Signal Processing 10(1), 19–41 (2000)

    Google Scholar 

  22. Robertson, B., Vignaux, G.: Interpreting Evidence. Evaluating Forensic Science in the Courtroom. John Wiley and Sons, Chichester (1995)

    Google Scholar 

  23. Rose, P.: Forensic Speaker Identification. Taylor and Francis, London (2002)

    Book  Google Scholar 

  24. Rose, P.: Technical forensic speaker recognition: Evaluation, types and testing of evidence. Computer Speech and Language 20(2–3), 159–191 (2006)

    Article  Google Scholar 

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Correspondence to Andrzej Drygajlo .

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Drygajlo, A. (2014). From Speaker Recognition to Forensic Speaker Recognition. In: Cantoni, V., Dimov, D., Tistarelli, M. (eds) Biometric Authentication. BIOMET 2014. Lecture Notes in Computer Science(), vol 8897. Springer, Cham.

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13385-0

  • Online ISBN: 978-3-319-13386-7

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