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R-Norm: Improving Inter-Speaker Variability Modelling at the Score Level via Regression Score Normalisation

Vandyke, David; Wagner, Michael; Goecke, Roland


This paper presents a new method of score post-processing which utilises previously hidden relationships among client models and test probes that are found within the scores produced by an automatic speaker recognition system. We suggest the name r-Norm (for Regression Normalisation) for the method, which can be viewed as both a score normalisation process and as a novel and improved modelling technique of inter-speaker variability. The key component of the method lies in learning a regression...[Show more]

CollectionsANU Research Publications
Date published: 2013
Type: Conference paper
Source: Characterising Depressed Speech for Classification
Access Rights: Open Access


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01_Vandyke_R-Norm:_Improving_2013.pdf286.76 kBAdobe PDF
02_Vandyke_R-Norm:_Improving_2013.pdf236.42 kBAdobe PDF

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