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LR-based forensic comparison under severe test-data scarcity

Kinoshita, Yuko; Wagner, Michael


This study sets out to find the most reliable method for loglikelihood-ratio (LLR) calculation under severe data scarcity, which is typical of forensic voice comparison casework. We compared the performances of three types of speaker modelling, namely a single Gaussian model, Gaussian Mixture Models (GMM) of different complexity, and a Multivariate Kernel Density Model (MVKD), using two and threedimensional formant frequency feature vectors extracted from /iː/ vowels. We varied the number of...[Show more]

CollectionsANU Research Publications
Date published: 2014
Type: Conference paper
Source: Proceedings of the 15th Australasian International Speech Science & Technology Conference 2014
Access Rights: Open Access


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