Forensic Speaker Recognition Selected Bibliography

[1] C.G.G. Aitken. Statistics and the Evaluation of Evidence for Forensic Scientists. John Wiley and Sons, Chichester, 1995.
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[2] C.G.G. Aitken. Statistics and the Evaluation of Evidence for Forensic Scientists. John Wiley & Sons, 1997.
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[3] C.G.G Aitken and F. Taroni. A verbal scale for the interpretation of evidence. Science and Justice, 38(4):279-281, 1998.
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[4] C.G.G. Aitken and Franco Taroni. Statistics and the Evaluation of Evidence for Forensic Scientists. John Wiley & Sons, 2004.
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[6] A. Alexander, F. Botti, and A. Drygajlo. Handling Mismatch in Corpus-Based Forensic Speaker Recognition. In Odyssey 2004, The Speaker and Language Recognition Workshop, pages 69-74, Toledo, Spain, 2004.
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[7] A. Alexander and A. Drygajlo. Scoring and direct methods for the interpretation of evidence in forensic speaker recognition. In Interspeech-2004, pages 2397-2400, Jeju, Korea, October 2004.
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[8] M. Arcienega and A. Drygajlo. Robust voiced-unvoiced decision associated to continuous pitch tracking in noisy telephone speech. In ICSLP, pages 2433-2436, September 2002.
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[9] M. Arcienega and A. Drygajlo. A bayesian network approach for combining pitch and reliable spectral envelope features for robust speaker verification. In Josef Kittler and Mark S Nixon, editors, Proc. 4th Int. Conf. on Audio- and Video-Based Biometric Person Authentication, pages 78-85, Guildford, UK, June 2003. Springer.
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[10] R. Auckenthaler, M. J. Carey, and H. Lloyd-Thomas. Score normalisation for text-independent speaker verification system. Digital Signal Processing (DSP), a review journal - Special issue on NIST 1999 Speaker Recognition Workshop, 10 (1-3):42-54, 2000.
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[11] Scott Axelrod. Speaker identification using online, frame dependent, and diffusive variance adaptation. In 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Orlando, Florida, 2002.
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[12] J. Baldwin and P. French. Forensic Phonetics. Pinter, London, 1990.
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[13] Steven D. Beck. FBI Voice Database For Automated Speaker Recognition Systems, User's Manual for Training and Testing. Federal Bureau of Investigation, March 1998.
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[14] Mathieu Ben, Rapha� Blouet, and Fr��ic Bimbot. A monte-carlo method for score normalization in automatic speaker verification using kullback-leibler distances. In 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Orlando, Florida, 2002.
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[15] Y. Bennani and P. Gallinari. Neural networks for discrimination and normalisation of speakers. Speech Communication, 17:159-175, 1995.
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[16] B. Black, Ayala F. J., and Saffran-Brinks C. Science and the law in the wake of daubert: A new search for scientific knowledge. Texas Law Review, 72(4):715 - 802, 1994.
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[17] R. H. Bolt, F. S. Cooper, E. E. David, P. B. Denes, J. M. Pickett, and K. N. Stevens. Speaker identification by speech spectrograms. Science, pages 338-343, 1969.
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[18] R. H. Bolt, F. S. Cooper, E. E. David, P. B. Denes, J. M. Pickett, and K. N.; Stevens. Speaker identification by speech spectrograms: A scientist's view of its reliability for legal purposes. J. Acoustic. Soc. Am., 47(2):597-603, 1970.
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[19] R. H. Bolt, F. S. Cooper, D. Green, S. L. Hamlet, D. L. Hogan, J. G. Mc Knight, J. M. Pikett, O. Tosi, and B. D. Underwood. On the theory and practice of voice identification. Technical report, National Academy of Sciences, 1979.
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[21] F. Botti, A. Alexander, and A. Drygajlo. An interpretation framework for the evaluation of evidence in forensic automatic speaker recognition with limited suspect data. In Proceedings of 2004: A Speaker Odyssey, pages 63-68, Toledo, Spain, 2004.
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[22] L. Boves. Commercial applications of speaker verification: overview and critical successfactors. In RLA2C Workshop: Speaker Recognition and its Commercial and Forensic Applications, pages 150-160, 1998.
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[23] A.S. Bregman. Auditory Scene Analysis. MIT Press, Cambridge Mass., 1990.
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[24] A.P.A. Broeders. The role of automatic speaker recognition techniques in forensic investigations. In ICPhS 95, pages 154-161, Stockholm, 1995.
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[25] A.P.A. Broeders. Forensic speech and audio analysis. In INTERPOL, editor, 13th INTERPOL Forensic Science Symposium (1998-2001 A Review), pages 1-25, Lyon, France, 2001. Netherlands Forensic Science Institute.
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[26] J.P. Campbell and D.A. Reynolds. Corpora for the evaluation of speaker recognition systems. In Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 829-832, Phoenix, Arizona, 1999.
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[27] William Campbell. Generalized linear discriminant sequence kernels for speaker recognition. In 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Orlando, Florida, 2002.
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[28] L. Cerrato, M. Falcone, and Andrea Paoloni. Subjective age estimation of telephonic voices. Speech Communication, 31:107-112, 2000.
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[29] C. Champod and D. Meuwly. The inference of identity in forensic speaker recognition. In RLA2C Workshop: Speaker Recognition and its Commercial and Forensic Applications, pages 125-135, 1998.
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[30] C. Champod and O. Ribaux. Forensic identification databases in criminal investigations and trials. In Harmonisation in Forensic Expertise, volume VI, pages 463-484. 2001.
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[31] Christophe Champod and Didier Meuwly. The inference of identity in forensic speaker recognition. Speech Communication, 31:193-203, June 2000.
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[32] K Chen and H Chi. A method of combining multiple probabilistic classifiers through soft competition on different feature sets. Neurocomputer, 20:227-252, 1998.
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[33] D.Meuwly, A. Alexander, A. Drygajlo, and F. Botti. Polyphone-IPSC: A shared speakers database for evaluation of forensic-automatic speaker recognition systems. In Forensic Science International, volume 136, page 367, Istanbul, Turkey, September 2003. Elsevier.
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[34] George R. Doddington, Mark A. Przybocki, Alvin F. Martin, and D. A. Reynolds. The nist speaker recognition evaluation - overview, methodology, systems, results, perspective. Speech Communication, pages 225-254, 2000.
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[35] A. Drygajlo, D. Meuwly, and A. Alexander. Statistical Methods and Bayesian Interpretation of Evidence in Forensic Automatic Speaker Recognition. In Proc. Eurospeech 2003, pages 689-692, Geneva, Switzerland, 2003.
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[36] Andrzej Drygajlo and Mounir El-Maliki. Integration and imputation methods for unreliable feature compensation in gmm based speaker verification. In 2001: A Speaker Odyssey, Crete, Greece, 2001.
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[37] R. B. Dunn, T. F. Quatieri, D. A. Reynolds, and J.P. Campbell. Speaker recognition from coded speech in matched and mismatched conditions. In 2001: A Speaker Odyssey, Crete, Greece, 2001.
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[38] I. W. Evett and J. S Buckleton. Statistical analysis of str data : Advances in forensic haemogenetics. Springer-Verlag, 6:79-86, 1996.
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[39] I.W. Evett. Towards a uniform framework for reporting opinions in forensic science casework. Science and Justice, 38(3):198-202, 1998.
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[40] F.Botti, A. Alexander, and A. Drygajlo. Evaluation of evidence in forensic speaker recognition with a questioned recording and a single suspect's recording. In Proceedings of the 3rd European Academy of Forensic Science Meeting,Forensic Science International, volume 136, page 365, Istanbul, Turkey, September 2003. Elsevier.
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[41] R.A. Finan, R.I. Damper, and A.T. Sapeluk. Improved data modeling for text-dependent speaker recognition using sub-band processing. International Journal of Speech Technology, 4(1):45-62, 2001.
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[42] Corinne Fredouille, Jean-Fran�is Bonastre, and Teva Merlin. Bayesian approach based-decision in speaker verification. In 2001: A Speaker Odyssey, Crete, Greece, 2001.
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[43] Paolo Garbolino and F. Taroni. Evaluation of scientific evidence using bayesian networks. Forensic Science International, 125:149-155, 2002.
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[44] Ran Gazit, Yaakov Metzger, and Orith Toledo. Speaker verification over cellular networks. In 2001: A Speaker Odyssey, Crete, Greece, 2001.
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Keywords: cellular phone natel speaker verification
[45] S. Gfroerer. Auditory Instrumental Forensic Speaker Recognition. In Proc. Eurospeech 2003, pages 705-708, Geneva, Switzerland, 2003.
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[46] Joaquin Gonzalez-Rodriguez, Javier Ortega-Garcia, and J.J. Lucena-Molina. On the application of the bayesian framework to real forensic conditions with gmm-based systems. In 2001: A Speaker Odyssey, 2001.
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[47] Joaqun Gonzlez-Rodrguez, Javier Ortega-Garca, and Jos-Luis Snchez-Bote. Biometric Solutions for Authentication in an e-World. Kluwer Academic Publishers, 2002.
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[48] G Gravier, J Kharroubi, G Chollet, D Petrovska, G Durou, B Nedic, F Bimbot, R Blouet, M Seck, J-F Bonastre, C Fredouille, T Merlin, I. Magrin-Chagnolleau, S Pigeon, P Verline, and J Cernocky. The elisa '99 speaker recognition and tracking systems. In IEEE Workshop on Automatic Advanced Technologies, 1999.
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[49] J. S. Gruber and F. Poza. Voicegram identification evidence; american jurisprudence trials. Lawyers Cooperative Publishing, 54, 1995.
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[50] J. S. Gruber, F. Poza, and A. J. Pellicano. Audio recordings: Evidence, experts and technology. In American Jurisprudence Trials, volume 48. Lawyers Cooperative Publishing, 1993.
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[51] M. Hecker. Speaker recognition: an interpretive survey of the literature. ASHA Monographs, 16, 1971.
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[52] J. Hennebert, H. Melin, D. Petrovska, and D. Genoud. Polycost: A telephone-speech database for speaker recognition. Speech Communication, 31:265-270, 2000.
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[53] J. Hennebert, H. Melin, D. Petrovska, and D. Genoud. Polycost: A telephone-speech database for speaker recognition. Speech Communication, 31:265-270, 2000.
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[54] H. Hermansky. Should recognizers have ears. In ESCA-NATO Tutorial and Research Workshop on Robust Speech Recognition for Unknown Communication Channels, pages 1-10, Pont-a Mouson, France, 1997.
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[55] Hynek Hermansky. RASTA Processing of Speech. IEEE Trans. on Speech, and Audio Proc, 2(4):578-589, October 1994.
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[56] Harry Hollien. The Acoustics of Crime, The New Science of Forensic Phonetics. Number ISBN 0-306-43467-9. Plenum Publishing Corporation, 1990.
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[57] J.-C. Junqua. The influence of acoustics on speech production: a noise-induced stress phenomenon known as the lombard reflex. Speech Communication, 20:13-22, 1996.
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[58] Sachin S Kajarekar and Hynek Hermansky. Speaker verification based on broad phonetic categories. In 2001: A Speaker Odyssey, Crete, Greece, 2001.
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[59] J.H. Kerstholt, E.J.M. Jansen, A.G. van Amelsvoort, and A.P.A. Broeders. Earwitness line-ups: effects of speech duration, retention interval and acoustic environment on identification accuracy. In Proc. Eurospeech 2003, pages 709-712, Geneva, Switzerland, 2003.
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[60] Jamal Kharroubi, Dijana Petrovska-Delacr�az, and G�ard Chollet. Text-independent speaker verification using support vector machines. In 2001: A Speaker Odyssey, Crete, Greece, 2001.
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[61] H. J. Knzel. Forensic speaker identification: A view from the crime lab. In 8th COST 250 workshop: Speaker Identification by Man and by Machine: Directions for Forensic Applications, pages 4-8, Ankara, Turkey, 1998.
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[62] J. Koolwaaij and L. Boves. On decision making in forensic casework. Forensic Linguistics, the International Journal of Speech, Language and the Law, 6(2):242-264, 1999.
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[63] H. J. Kunzel. Current approaches to forensic speaker recognition. In ESCA Workshop on Automatic Speaker Recognition, Identification and Verification, pages 135-141, Martigny, 1994.
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[64] H.J. Kunzel. Some general phonetic and forensic aspects of speaking tempo. Forensic Linguistics, 4/1:48-83, 1997.
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[65] Q. Y. Kwan. Inference of Identity of Source. Ph.d, University of California, 1977.
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[66] S. R. Lewis. Philosophy of speaker identification; police applications of speech and tape recording analysis. Proceedings of Acoustics, 6(1):69 -77, 1984.
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[67] R.P. Lippman and B.A. Carlson. Using missing feature theory to actively select features for robust speech recognition with interruptions, filtering, and noise. In 5th European Conference on Speech Communication and Technology, EUROSPEECH '97, pages 37-40, Rhodes, Greece, 1997.
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[68] I. Magrin-Chagnolleau, G Gravier, and R Blouet. Overview of the 2000-2001 elisa consortium research activities. In 2001: A Speaker Odyssey, Crete, Greece, 2001.
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[69] Man-Wai Mak and Sun-Yuan Kung. Combining stochastic feature transformation and handset identification for telephone-based speaker verification. In 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Orlando, Florida, 2002.
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[70] N. Malayath, Hynek Hermansky, and Alex Kain. Towards decomposing the sources of variability in speech. In 5th European Conference on Speech Communication and Technology, EUROSPEECH '97, pages 497-500, Rhodes, Greece, 1997.
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[71] Patrice Mangin and Franco Taroni. L'evaluation de la preuve g��ique (adn) en criminalistique et l'utilisation des probabilit�. In Office Parlamentaire d'Evaluation des Choix Scientifiques et Technologiques, editor, La Valeur Scientifique de l'Utilisation des Empreintes G��iques dans le Domaine Judiciaire, pages 111-128. Cabal, C., Lausanne, 2001.
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[72] A. Martin, G. Doddington, T. Kamm, M. Ordowski, and M. Przybocki. The DET Curve in Assessment of Detection Task Performance. In Proc. Eurospeech '97, pages 1895-1898, Rhodes, Greece, 1997.
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[73] Alvin Martin and Mark Przybocki. The nist 1999 speaker recognition evaluation - an overview. Digital Signal Processing (DSP), 10:1-18, 2000.
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[74] F. Alvin Martin and A. Mark Przybocki. The nist speaker recognition evaluation 1996-2001. In 2001: A Speaker Odyssey, 2001.
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[75] R. Martin. Spectral subtraction based on minimum statistics. In EUSIPCO-94, pages 1182-1185, September 1994.
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[76] D. Meuwly. Voice analysis. In Encyclopedia of Forensic Science. Academic Press Ldt, 2000.
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[77] D. Meuwly. Reconnaissance de Locuteurs en Science Forensiques: l'Apport d'une Approche Automatique. PhD thesis, University of Lausanne, 2001.
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[78] D. Meuwly, M. El-Maliki, and A. Drygajlo. Forensic speaker recognition using gaussian mixture models and a bayesian framework. In 8th COST 250 workshop: Speaker Identification by Man and by Machine: Directions for Forensic Applications, pages 52-55, 1998.
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[79] Didier Meuwly and Andrzej Drygajlo. Forensic Speaker Recognition Based on a Bayesian Framework and Gaussian Mixture Modeling. In Proceedings of the COST-250 Workshop on Speaker Recognition by Man and by Machine: Directions for Forensic Application, pages 52-55, 1998.
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[80] Didier Meuwly and Andrzej Drygajlo. Forensic Speaker Recognition Based on a Bayesian Framework and Gaussian Mixture Modeling (GMM). In 2001, A Speaker Odyssey: The Speaker Recognition Workshop, pages 145-150, 2001.
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[81] G. A. Miller. The Magical Number Seven, Plus or Minus Two: Some Limits in our Capacity for Processing Information. The Psychological Review, 63:81-97, 1956.
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[82] Hirotaka Nakasone and Steven D. Beck. Forensic Automatic Speaker Recognition. In 2001: A Speaker Odyssey, pages 139-144, Crete, Greece, 2001.
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[83] Francis Nolan. Speaker identification evidence: its forms, limitations and roles. In Law and Language: Prospect and Retrospect, Levi (Finnish Lapland), 2001.
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[84] B. Pfister and R. Beutler. Estimating the Weight of Evidence in Forensic Speaker Verification. In Proc. Eurospeech 2003, Geneva, Switzerland, 2003.
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[85] Daubert v. Merrell Dow Pharmaceuticals. 509 u.s. 579, 1993.
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[86] T.F. Quatieri, E. Singer, R.B. Dunn, D.A. Reynolds, and J.P. Campbell. Speaker and language recognition using speech codec parameters. In Eurospeech 99, volume 2, pages 787-790, Budapest, Hungary, 1999.
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Keywords: Codec param�res parameters parameter speech performance filters filter filtre filtres GSM speech coding
[87] D. A. Reynolds, T. F. Quatieri, and R. B. Dunn. Speaker Verification Using Adapted Gaussian Mixture Models. Digital Signal Processing, 10(1-3):19-41, 2000.
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[88] D. A. Reynolds and R. C. Rose. Robust text-independent speaker identification using gaussian mixture speaker models. IEEE Transactions on Speech and Audio Processing, 3(1):72-83, 1995.
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Keywords: Speech recognition
[89] B. Robertson and G. A. Vignaux. Interpreting Evidence: Evaluating Forensic Science in the Courtroom. John Wiley and Sons, Chichester, 1995.
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[90] P. Rose. Forensic Speaker Identification. Number ISBN 0-415-27182-7 in Forensic Science. Taylor and Francis, 2003.
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[91] A. Schmidt-Nielsen and T. H. Crystal. Speaker Verification by Human Listeners: Experiments Comparing Human and Machine Performance using the NIST 1998 Speaker Evaluation Data. Digital Signal Processing, 10:249-266, 2000.
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[92] S. Sharma, P. Vermeulen, and H Hermansky. Combining information from multiple classifiers for speaker verification. In Proc. of Speaker Recognition and its Commercial and Forensic Application, Avignon, France, 1998.
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[93] Erich Smythe and Alan Zimmerman. Counter drug speaker identification. In ONDCP International Technology Symposium, Washington, D.C., 1999.
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[94] Yosef A. Solewicz. Noise robustness in forensic speaker verification. In 2001: A Speaker Odyssey, Crete, Greece, 2001.
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[95] D.E. Sturim, D.A. Reynolds, R.B. Dunn, and T.F. Quatieri. Speaker verification using text-constrained gaussian mixture models. In 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Orlando, Florida, 2002.
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[96] F. Taroni and C.G.G. Aitken. De finetti's subjectivism, the assesment of probabilities and the evaluation of evidence, a commentary for forensic scientists. Science and Justice, 41(3):145-150, 2001.
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[97] F. Taroni and Paolo Garbolino. Bayesian networks and the evaluation of scientific evidence: A theoretical approach. Problems of Forensic Sciences, XLVI:173-179, 2001.
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[98] C. F. Tippett, V.J. Emerson, M.J. Fereday, F. Lawton, and S.M. Lampert. The evidential value of the comparison of paint flakes from sources other than vehicles. Journal of Forensic Sci. Soc., 8:61-65, 1968.
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[99] Dat Tran and Michael Wagner. A generalised normalisation method for speaker verification. In 2001: A Speaker Odyssey, Crete, Greece, 2001.
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[100] H. Tuthill. Individualization: Principles and Procedures in Criminalistics. Salem: Lightning Powder Co., 1994.
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[101] W. D. Voiers. Perceptual Bases of Speaker Identity. Journal of the Acoustic Society of America, 36(6):1065-1073, June 1964.
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[102] Vincent Wan and Steve Renals. Evaluation of kernel methods for speaker verification and identification. In 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Orlando, Florida, 2002.
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[103] J. Wilding, S. Cook, and J. Davis. Sound Familiar? The Psychologist, 13(11):558-562, November 2000.
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[104] Bing Xiang, Upendra V. Chaudhari, Ganesh N. Ramaswamy, and Ramesh A. Gopinath. Short-time gaussianization for robust speaker verification. In 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Orlando, Florida, 2002.
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[105] A. D. Yarmey. Earwitness Speaker Identification. Psychology, Public Policy, and Law, 1(4):792-816, 1995.
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[106] D. R. Zilca, Chaudhari V. U., and Ramaswamy N. G. The sphericity measure for cellular speaker verification. In 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Orlando, Florida, 2002.
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