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The effect of correlation on strength of evidence estimates in Forensic Voice Comparison: Uni-and multivariate Likelihood Ratio-based discrimination with Australian English vowel acoustics

Rose, Philip

Description

The consequences of ignoring correlations between features in traditional forensic speaker recognition are investigated. Two likelihood ratio-based discrimination experiments on the same multivariate formant data are described, one taking correlation into account and the other not doing so. The discrimination is performed using Naïve Bayes univariate, and multivariate generative Likelihood Ratios (LRs) as discriminant functions, exemplified with Tippett plots and evaluated with the Cllr cost...[Show more]

dc.contributor.authorRose, Philip
dc.date.accessioned2015-12-10T23:13:09Z
dc.date.available2015-12-10T23:13:09Z
dc.identifier.issn1755-8301
dc.identifier.urihttp://hdl.handle.net/1885/64295
dc.description.abstractThe consequences of ignoring correlations between features in traditional forensic speaker recognition are investigated. Two likelihood ratio-based discrimination experiments on the same multivariate formant data are described, one taking correlation into account and the other not doing so. The discrimination is performed using Naïve Bayes univariate, and multivariate generative Likelihood Ratios (LRs) as discriminant functions, exemplified with Tippett plots and evaluated with the Cllr cost function. It is shown that ignoring within-segment correlation can result in considerable over-or under-estimation of the strength of evidence when traditional features are used, and there is poorer overall discrimination between same-speaker and different-speaker pairs. The use of logistic-regression fusion to handle between-segment correlation is also demonstrated.
dc.publisherInderscience Publishers
dc.sourceInternational Journal of Biometrics
dc.subjectKeywords: Correlation; Forensic voice comparison; FVC; Likelihood ratio; Logistic-regression fusion; LR; Vowel formants
dc.titleThe effect of correlation on strength of evidence estimates in Forensic Voice Comparison: Uni-and multivariate Likelihood Ratio-based discrimination with Australian English vowel acoustics
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume2
dc.date.issued2010
local.identifier.absfor200404 - Laboratory Phonetics and Speech Science
local.identifier.ariespublicationf2965xPUB913
local.type.statusPublished Version
local.contributor.affiliationRose, Philip, College of Arts and Social Sciences, ANU
local.bibliographicCitation.issue4
local.bibliographicCitation.startpage316
local.bibliographicCitation.lastpage329
local.identifier.doi10.1504/IJBM.2010.035447
dc.date.updated2016-02-24T08:33:51Z
local.identifier.scopusID2-s2.0-77958606572
CollectionsANU Research Publications

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