Forensic voice comparison using likelihood ratios based on polynomial curves fitted to the formant trajectories of Australian English/ai/

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    Abstract

    Earlier studies have indicated that information regarding speaker identity can be extracted from the dynamic spectral properties of diphthongs. Some studies have conducted likelihood-ratio analyses based on simple models of the dynamic formant properties of diphthongs (e.g., dual-target model), and others have used more sophisticated polynomial curve fitting models but have not conducted likelihood-ratio analyses. The present study examines the strength of evidence which can be produced by a likelihood-ratio analysis based on the coefficients of polynomial curves fitted to the formant trajectories of Australian English /ai/ tokens. A cubic polynomial model offers a substantial improvement over the dual-target model.

    Original languageEnglish
    Pages (from-to)249-266
    Number of pages18
    JournalInternational Journal of Speech, Language and the Law
    Volume15
    Issue number2
    DOIs
    Publication statusPublished - 2008

    Keywords

    • Curve fitting
    • Diphthong
    • Forensic speaker recognition
    • Formant trajectory
    • Likelihood ratio
    • Polynomial

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