Towards an Optimal Speaker Modeling in Speaker Verification Systems using Personalized Background Models

Abstract

Received Mar 19, 2017 Revised Jun 29, 2017 Accepted Jul 14, 2017 This paper presents a novel speaker modeling approachfor speaker recognition systems. The basic idea of this approach consists of deriving the target speaker model from a personalized background model, composed only of the UBM Gaussian components which are really present in the speech of the… (More)

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