Handling mismatch in corpus-based forensic speaker recognition.
Anil Alexander, Filippo Botti, Andrzej Drygajlo · 2004
This paper deals with automatic speaker recognition in forensic applications and handling mismatched technical conditions in a Bayesian framework for evaluating the strength of evidence. Mismatch in recording conditions has to be considered in the estimation of the strength of evidence, i.e., how likely it is that a questioned recording (trace) has been produced by a suspected speaker rather than by any other person from a relevant population. In forensic speaker recognition, in order to estimate such a likelihood ratio, a Bayesian interpretation framework and a corpus based methodology is employed.