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Front-end approaches to the issue of correlations in forensic speaker comparison

Gold, Erica and Hughes, Vincent (2015) Front-end approaches to the issue of correlations in forensic speaker comparison. In: Proceedings of the 18th International Congress of Phonetic Sciences. University of Glasgow. ISBN 978-0-85261-941-4

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In likelihood ratio (LR)-based forensic speaker
comparison it is essential to consider correlations between parameters to accurately estimate the overall strength of the evidence. Current approaches attempt to deal with correlations after the computation of LRs (back-end processing). This paper explores alternative, front-end techniques, which consider the underlying correlation structure of the raw data. Calibrated LRs were computed for a range of parameters commonly analysed in speaker comparisons. LRs were combined using (1) an
assumption of independence, (2) the mean, (3)
assumptions from phonetic theory, and (4) empirical correlations in the raw data. System (1), based on an assumption of independence, produced the best validity (Cllr = 0.04). Predictably, overall strength of evidence was also highest for system (1), while strength of evidence was weakest using the mean (2). Both systems (3) and (4) performed well achieving Cllr values of ca. 0.09.

Item Type: Book Chapter
Additional Information: Paper presented at 18th International Congress of Phonetic Sciences 10-14th August 2015, Glasgow
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HA Statistics
P Language and Literature > P Philology. Linguistics
P Language and Literature > PE English
Q Science > QA Mathematics
Schools: School of Music, Humanities and Media
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Depositing User: Erica Gold
Date Deposited: 08 Nov 2016 11:41
Last Modified: 28 Aug 2021 16:37


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