Robust estimation, interpretation and assessment of likelihood ratios in forensic speaker recognition


In this contribution, the Bayesian framework for interpretation of evidence when applied to forensic speaker recognition is introduced. Different aspects of the use of voice as evidence in the court are addressed, as well as the use by the forensic expert of the likelihood ratio as the right way to express the strength of the evidence. Details on… (More)
DOI: 10.1016/j.csl.2005.08.005


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