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Strength of forensic speaker identification evidence: multispeaker formant- and cepstrum-based segmental discrimination with a Bayesian likelihood ratio as threshold

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Authors

Rose, Philip
Osanai, Takashi
Kinoshita, Yuko

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University of Birmingham Press

Abstract

A forensic-phonetic speaker identification experiment is described which tests to what extent same-speaker pairs from a 60 speaker Japanese data base can be discriminated from different-speaker pairs using a Bayesian likelihood ratio (LR) as discriminant

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Forensic Linguistics: The International Journal of Speech, Language and the Law

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