Forensic automatic speaker recognition

2001: A Speaker Odyssey - The Speaker Recognition Workshop

Volumn , Issue , 2001, Pages 139-144

  Nakasone, Hirotaka ^a   Beck, Steven D ^b  

^a Federal Bureau of Investigation   (United States)

^b BAE SYSTEMS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL FORENSICS;

AUTOMATIC SPEAKER RECOGNITION; CHANNEL VARIATIONS; FEDERAL BUREAU OF INVESTIGATIONS; MEASUREMENT METHODS; MODEL-BASED RECOGNITION; MULTIPLE LEVELS; REALISTIC APPLICATIONS; RESEARCH ORGANIZATION;

SPEECH RECOGNITION;

EID: 84966988443     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. “Forensic Speaker Identification Survey Report, Prepared by Booz.Allen.& Hamilton Inc., under TSC 2Contract G500T96AHD0002, March, 1998.
2. Speaker Recognition Workshop, Hosted by National Institute of Standards and Technology, March 31 – April 1, 1998,College Park, Maryland.
3. Bolt, R. H., Cooper, F. S., Green, D. M., Hamlet, S. L., McKnight, J. G., Pickett, J. M., Tosi, Oscar, Underwood, B. D., and Hogan, D. L., On the Theory and Practice of Voice Identification, National Research Council, National Academy of Sciences, Washington, D.C., 1979.
4. Tosi, O., Voice Identification: Theory and Legal Applications, University Park Press, Baltimore, 1979.
5. Koenig, B.E., “Spectrographic voice identification: a forensic survey”, Journal of Acoustical Society of America, 79:2088-2090, 1986.
6. Reynolds, D.A., Quatieri, T.F., and Dunn, R.B., “Speaker Verification Using Adapted Gaussian Mixture Models”, Digital Signal Processing, 2000, 10, 19-41.
7. Gish, H. and Schmidt, M. Text-Independent Speaker Identification. IEEE Signal Processing Magazine, October, 1994.
8. Hermansky, H., Morgan, N., Bayya, A., and Kohn, P,. “RASTA-PLP Speech Analysis Technique”, Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, March 1992, pp. I.121-I.124.
9. Kay, S.M., Fundamentals of Statistical Signal Processing: Detection Theory, Prentice-Hall PTR, New Jersey, 1998.
10. Beck, S. and Wallace, D., “Tutorial on Confidence Measures for Automatic Speaker Recognition”, Document submitted to the Federal Bureau of Investigation under Contract AOG003831, September 2000.
11. Williams, G. and Renals, S., “Confidence measures from local posterior probability estimates”, Computer Speech and Language, 13, 1999.
12. Siu, M. and Gish, H., “Evaluation of word confidence for speech recognition systems”, Computer Speech and Language, 13, 1999.
13. Champod, C. and Meuwly, D., “The Inference of Identity in Forensic Speaker Recognition”, Speech Communication, vol.31, pp. 193-203, 2000.
14. Daubert v. Merrell Dow Pharmaceuticals, 509 U.S. 579, 113 S.Ct. 2786, 125 L.Ed.2d 469 (1993).