How Many Do We Need? Exploration of the Population Size Effect on the Performance of Forensic Speaker Classification

Shunichi Ishihara, Yuko Kinoshita

    Research output: Contribution to conferencePaper

    Abstract

    This paper investigates how change in population size affects the reliability of the likelihood ratio (LR)-based forensic speaker classification. Using features of the long term F0 distribution, we performed LR-based speaker classification and examined its performance with population sizes from 10 to 120. The results revealed that LRs could be heavily influenced by the population data. We discovered that the reliability of LR-based evaluation of the evidence was heavily compromised if the population data was limited to a small number of speakers.
    Original languageEnglish
    Pages1941-1944
    Publication statusPublished - 2008
    EventINTERSPEECH 2008-9th Annual Conference of the International Speech Communication Association - Brisbane Australia
    Duration: 1 Jan 2008 → …

    Conference

    ConferenceINTERSPEECH 2008-9th Annual Conference of the International Speech Communication Association
    Period1/01/08 → …

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