Likelihood ratio-based forensic voice comparison with higher level features: research and reality

Author:

Rose Phil

Funder

Australian Research Council

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference64 articles.

1. Evaluation of trace evidence in the form of multivariate data;Aitken;Appl. Stat.,2004

2. Determination of likelihood ratios for forensic voice comparison;Balamurali;Int. J. Speech Lang. Law,2014

3. Weight of Evidence for Forensic DNA Profiles;Balding,2005

4. Brümmer, N., Focal Toolkit https://sites.google.com/site/nikobrummer/focal.

5. Bayesian calibration for forensic evidence reporting;Brümmer;Proc. Interspeech,2014

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1. Modeling Lexical Tones for Speaker Discrimination;Language and Speech;2024-07-27

2. Likelihood Ratio Based Voice Comparison Using Cepstral Coefficients and GAN;Procedia Computer Science;2024

3. An overview of log likelihood ratio cost in forensic science – Where is it used and what values can we expect?;Forensic Science International: Synergy;2024

4. Forensic Voice Comparison: Overview;Encyclopedia of Forensic Sciences, Third Edition;2023

5. Comparación forense de la voz en chile: balance, proyecciones y desafíos;ALPHA: Revista de Artes, Letras y Filosofía;2022-12-28

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