2001: A Speaker Odyssey - The Speaker Recognition Workshop

June 18-22, 2001
Crete, Greece

Noise Robustness in Forensic Speaker Verification

Yosef A. Solewicz

Department of Mathematics and Computer Sciences, Bar-Ilan University, Israel

Recently, commercial speaker verification systems have been applied to forensic casework. Unfortunately, these systems were not custom tailored to current needs. In this paper, we try to identify general guidelines towards establishing an improved forensic speaker verification methodology. A main issue is the recognition rate, which highly deteriorates in noisy conditions, preventing a reliable correspondence between LLR values and a desirable significance scale. It is shown that segmented classification in time and frequency efficiently decrease noise related LLR variance, thus improving performance in forensic applications.

Full Paper   Presentation

Bibliographic reference.  Solewicz, Yosef A. (2001): "Noise robustness in forensic speaker verification", In ODYSSEY-2001, 151-156.