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.
|Title of host publication||Proceedings of the 18th International Congress of Phonetic Sciences|
|Place of Publication||Glasgow, UK|
|Publisher||University of Glasgow|
|Number of pages||5|
|Publication status||Published - 2015|
|Event||18th International Congress of Phonetic Sciences - Scottish Event Campus, Glasgow, United Kingdom|
Duration: 10 Aug 2015 → 14 Aug 2015
Conference number: 18
https://www.internationalphoneticassociation.org/icphs/icphs2015 (Link to Conference Details)
|Conference||18th International Congress of Phonetic Sciences|
|Abbreviated title||ICPhS 2015|
|Period||10/08/15 → 14/08/15|
Gold, E., & Hughes, V. (2015). Front-end approaches to the issue of correlations in forensic speaker comparison. In Proceedings of the 18th International Congress of Phonetic Sciences (pp. 1-5).  Glasgow, UK: University of Glasgow.