Technical forensic speaker recognition: Evaluation, types and testing of evidence
Important aspects of Technical Forensic Speaker Recognition, particularly those associated with evidence, are exemplified and critically discussed, and comparisons drawn with generic Speaker Recognition. The centrality of the Likelihood Ratio of Bayes' theorem in correctly evaluating strength of forensic speech evidence is emphasised, as well as the many problems involved in its accurate estimation. It is pointed out that many different types of evidence are of use, both experimentally and...[Show more]
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|Source:||Computer Speech and Language|
|01_Rose_Technical_forensic_speaker_2006.pdf||2.36 MB||Adobe PDF||Request a copy|
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