Background population: How does it affect LR-based forensic voice comparison?

Yuko Kinoshita, Shunichi Ishihara

    Research output: Contribution to journalArticlepeer-review

    17 Citations (Scopus)

    Abstract

    This article investigates to what extent and in what ways the size of the background population affects the outcome of likelihood ratio (LR) based forensic voice comparison. While sample size is known to affect the accuracy of statistical modelling, specific effects in the context of forensic voice comparison are not yet understood. Forensic voice comparison analysts need to work with limited data, but it is unclear how this might impact on the LR-based evaluation of evidence. In this article, we report LR-based speaker comparison experiments using variously sized datasets for background population. They use features derived from long term F0 distribution. We examined their performance in terms of accuracy (closeness to the true value) and precision (reproducibility).

    Original languageEnglish
    Pages (from-to)191-224
    Number of pages34
    JournalInternational Journal of Speech, Language and the Law
    Volume21
    Issue number2
    DOIs
    Publication statusPublished - 2014

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