R-Norm: Improving Inter-Speaker Variability Modelling at the Score Level via Regression Score Normalisation
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]
|Collections||ANU Research Publications|
|Source:||Characterising Depressed Speech for Classification|
|Access Rights:||Open Access|
|01_Vandyke_R-Norm:_Improving_2013.pdf||286.76 kB||Adobe PDF|
|02_Vandyke_R-Norm:_Improving_2013.pdf||236.42 kB||Adobe PDF|
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