Estimating the precision of the likelihood-ratio output of a forensic-voice-comparison system

Odyssey 2010: Speaker and Language Recognition Workshop

Volumn , Issue , 2010, Pages 63-70

  Morrison, Geoffrey Stewart ^a,b   Thiruvaran, Tharmarajah ^b   Epps, Julien ^b,c  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^b UNIVERSITY OF NEW SOUTH WALES   (Australia)

^c CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

SPEECH RECOGNITION;

95% CREDIBLE INTERVALS; FORENSIC EVIDENCE; FORENSIC VOICE COMPARISONS; LIKELIHOOD RATIOS; LOG-LIKELIHOOD RATIO COSTS; NON-PARAMETRIC ESTIMATES; QUANTITATIVE METRIC;

DIGITAL FORENSICS;

EID: 85073121246     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (34)

1. Daubert v Merrell Dow Pharmaceuticals (92-102) 509 US 579, 1993.
2. Law Commission of England & Wales, The Admissibility of Expert Evidence in Criminal Proceedings in England and Wales: A New Approach to the Determination of Evidentiary Reliability, Law Commission, London, UK, 2009.
3. National Research Council, Strengthening Forensic Science in the United States: A Path Forward, National Academies Press, Washington, DC, 2009.
4. M.J. Saks, J.J. Koehler, “The coming paradigm shift in forensic identification science”. Science, vol. 309, 2005, pp. 892-895. doi:10.1126/science.1111565
5. C.G.G. Aitken, F. Taroni, Statistics and the Evaluation of Forensic Evidence for Forensic Scientist, 2nd ed, Wiley, Chichester, UK, 2004.
6. Association of Forensic Science Providers, “Standards for the formulation of evaluative forensic science expert opinion”, Sci. Justice, vol. 49, 2009, pp. 161-164. doi:10.1016/j.scijus.2009.07.004
7. D.J. Balding, Weight-of-evidence for Forensic DNA Profiles, Wiley, Chichester, UK, 2005.
8. J. Buckleton, “A framework for interpreting evidence”, in J. Buckleton, C.M. Triggs, S.J. Walsh (Eds.), Forensic DNA Evidence Interpretation, CRC, Boca Raton, FL, 2005, pp. 27-63.
9. I.W. Evett, “Interpretation: A personal odyssey”, in C.G.G. Aitken, D.A. Stoney (Eds.), The Use of Statistics in Forensic Science, Ellis Horwood, Chichester, UK, 1991, pp. 9-22.
10. I.W. Evett, “Towards a uniform framework for reporting opinions in forensic science case-work”, Sci. Justice, vol. 38, 1998, pp. 198-202. doi:10.1016/S1355-0306(98)72105-7
11. B. Robertson, G.A. Vignaux, Interpreting Evidence, Wiley, Chichester, UK, 1995
12. C. Champod, D. Meuwly, “The inference of identity in forensic speaker recognition”, Speech Commun., vol. 31, 2000, pp. 193-203. doi:10.1016/S0167-6393(99)00078-3
13. J. González-Rodríguez, A. Drygajlo, D. Ramos-Castro, M. García-Gomar, J. Ortega-García, “Robust estimation, interpretation and assessment of likelihood ratios in forensic speaker recognition”, Computer Speech and Language, vol. 20, 2006, pp. 331-355. doi:10.1016/j.csl.2005.08.005
14. J. González-Rodríguez, P. Rose, D. Ramos, D.T. Toledano, J. Ortega-García, “Emulating DNA: Rigorous quantification of evidential weight in transparent and testable forensic speaker recognition”, IEEE Trans. Audio, Speech, Lang. Process., vol. 15, 2007, pp. 2104-2115. doi:10.1109/TASL.2007.902747
15. G.S. Morrison, “Forensic voice comparison and the paradigm shift”, Sci. Justice, vol. 49, no. 4, 2009, pp. 298-308. doi:10.1016/j.scijus.2009.09.002
16. P. Rose, Forensic Speaker Identification, Taylor and Francis, London, UK, 2002.
17. P. Rose, “Technical forensic speaker recognition”, Comp. Speech Lang., vol. 20, 2006, pp. 159-191. doi:10.1016/j.csl.2005.07.003
18. P. Rose, G.S. Morrison, “A response to the UK position statement on forensic speaker comparison”, Int. J. Speech, Lang. Law, vol. 16, 2009, pp. 139-163. doi:10.1558/ijsll.v16i1.139
19. N. Brümmer, J. du Preez, “Application independent evaluation of speaker detection”, Comp. Speech Lang., vol. 20, 2006, pp. 230-275. doi:10.1016/j.csl.2005.08.001
20. D.A. van Leeuwen, N. Brümmer, “An introduction to application-independent evaluation of speaker recognition systems”, in C. Müller (Ed.), Speaker Classification I: Fundamentals, Features, and Methods, Springer-Verlag, Heidelberg, Germany, 2007, pp. 330-353. doi:10.1007/978-3-540-74200-5_19
21. G.S. Morrison, “Likelihood-ratio forensic voice comparison using parametric representations of the formant trajectories of diphthongs”, J. Acoust. Soc. Americ., vol. 125, 2009, pp. 2387-2397. doi:10.1121/1.3081384
22. J.M. Curran, “An introduction to Bayesian credible intervals for sampling error in DNA profiles”, Law, Prob. Risk, vol. 4, 2005, 115-126. doi:10.1093/lpr/mgi009
23. J.M. Curran, J.S. Buckleton, C.M. Triggs, B.S. Weir, “Assessing uncertainty in DNA evidence caused by sampling effects”, Sci. Justice, vol. 42, 2002, 29-37. doi:10.1016/S1355-0306(02)71794-2
24. W.M. Bolstad, Introduction to Bayesian Statistics, 2nd Ed., Wiley, Hoboken, NJ, 2007.
25. R. Cook, I.W. Evett, G. Jackson, P.J. Jones, J.A. Lambert, “A hierarchy of propositions: Deciding which level to address in casework”, Sci. Justice, vol. 38, 1998, 231-239. doi:10.1016/S1355-0306(98)72099-4
26. G.S. Morrison, C. Zhang, P. Rose, “An empirical estimate of the precision of likelihood ratios from a forensic-voice-comparison system”, 2010. Manuscript submitted for publication.
27. G.S. Morrison, “A comparison of procedures for the calculation of forensic likelihood ratios from acoustic-phonetic data: Multvariate kernel density (MVKD) versus Gaussian mixture model - universal background model (GMM-UBM)”, 2010. Manuscript submitted for publication.
28. T. Hastie, R. Tibshirani, J. Friedman, The Elements of Statistical Learning: Data Mining, Inference and Prediction, Springer, NY, 2009.
29. The NIST Year 2004 Speaker Recognition Evaluation Plan.
30. The NIST Year 2008 Speaker Recognition Evaluation Plan.
31. S. Furui, “Speaker-Independent Isolated Word Recognition Using Dynamic Features of Speech Spectrum”, IEEE Trans. Acoust., Speech and Sig. Proc., vol. 34 no.1, 1986, pp. 52-59.
32. J. Pelecanos, S. Sridharan, “Feature warping for robust speaker verification”, Odyssey Workshop, 2001, pp. 213-218.
33. D.A. Reynolds, T.F. Quatieri, R.B. Dunn, “Speaker verification using adapted Gaussian mixture models,”, Digital Signal Processing, vol.10, 2000, no. 1/2/3, pp.19-41. doi:10.1006/dspr.1999.0361
34. N. Brümmer, FoCal Toolkit, July 2005.