Accounting for Correlation in Linguistic-Acoustic Likelihood Ratio-based Forensic Speaker Discrimination
The necessity of taking correlation between variables into account when estimating strength of forensic speaker recognition evidence is argued for. A modest forensic speaker discrimination experiment is described which investigates how well non-contemporaneous speech samples from the same speaker can be discriminated from different-speaker samples using bivariate kernel density likelihood ratios from F2 and F3 of the five monophthongal phonemes of General Australian English, spoken by 11 males....[Show more]
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