An empirical estimate of the precision of likelihood ratios from a forensic-voice-comparison system

Geoffrey Morrison, Cuiling Zhang, Philip Rose

    Research output: Contribution to journalArticle

    Abstract

    An acoustic-phonetic forensic-voice-comparison system was constructed using the time-averaged formant values of tokens of 61 male Chinese speakers' /i/, /e/, and /a/ monophthongs as input. Likelihood ratios were calculated using a multivariate kernel density formula. A separate set of likelihood ratios was calculated for each vowel phoneme, and these were then fused and calibrated using linear logistic regression. The system was tested via cross-validation. The validity and reliability of the results were assessed using the log-likelihood-ratio-cost function (Cllr, a measure of accuracy) and an empirical estimate of the credible interval for the likelihood ratios from different-speaker comparisons (a measure of precision). The credible interval was calculated on the basis of two independent pairs of samples for each different-speaker comparison pair.
    Original languageEnglish
    Pages (from-to)59-65
    JournalForensic Science International
    Volume208
    Issue number1-3
    DOIs
    Publication statusPublished - 2011

    Fingerprint Dive into the research topics of 'An empirical estimate of the precision of likelihood ratios from a forensic-voice-comparison system'. Together they form a unique fingerprint.

    Cite this