LR-based forensic comparison under severe test-data scarcity
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]
|Collections||ANU Research Publications|
|Source:||Proceedings of the 15th Australasian International Speech Science & Technology Conference 2014|
|Access Rights:||Open Access|
|01_Kinoshita_LR-based_forensic_comparison_2014.pdf||298.27 kB||Adobe PDF|
|02_Kinoshita_LR-based_forensic_comparison_2014.pdf||395.95 kB||Adobe PDF|
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