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Updated: Jun 6, 2026

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
Published on: September 27, 2024
An empirical estimate of the precision of likelihood ratios from a forensic-voice-comparison system
Geoffrey Stewart Morrison1, Cuiling Zhang, Philip Rose
1School of Language Studies, Australian National University, Canberra, ACT 0200, Australia. geoff-morrison@forensic-voice-comparison.net
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 (C(llr), 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.
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