2001: A Speaker Odyssey - The Speaker Recognition Workshop

June 18-22, 2001
Crete, Greece

On the Application of the Bayesian Approach in Real Forensic Conditions with GMM-based Systems

Joaquin Gonzalez-Rodriguez (1), Javier Ortega-Garcia (1), and J.J. Lucena-Molina (2)

(1) Universidad Politecnica de Madrid (UPM), Spain
(2) Laboratorio de Acustica e Imagen, Direccion General de la Guardia Civil, Madrid, Spain

In this paper, excellent results are provided in the calculation of likelihood-ratios in real forensic conditions within the bayesian framework for the evaluation of speech evidences with a GMM-based speaker recognition system. Reported experiments have been performed with speakers from the Ahumada/Gaudí database, where 249 (122 male and 127 female) acted as reference population for the evaluation of the intervariability in each speech evidence, and the remaining 30 multisession male speakers acted as true/false suspects. Different GMM models have been trained from telephone recording sessions with different selections of the test files simulating different real forensic conditions. Results are provided in the form of likelihood ratios (LR) and are summarized in the form of Tippet plots, which are used to validate LR-based systems. All reported experiments have been performed with IdentiVox software, a tool for forensic speaker recognition that is actually been tested with real cases at Guardia Civil labs.


Full Paper   Presentation

Bibliographic reference.  Gonzalez-Rodriguez, Joaquin / Ortega-Garcia, Javier / Lucena-Molina, J.J. (2001): "On the application of the Bayesian approach in real forensic conditions with GMM-based systems", In ODYSSEY-2001, 135-138.