Improved speaker verification through probabilistic subspace adaptation

Abstract

In this paper we propose a new adaptation technique for improved text-independent speaker verification with limited amounts of training data using Gaussian mixture models (GMMs). The technique, referred to as probabilistic subspace adaptation (PSA), employs a probabilistic subspace description of how a client’s parametric representation (i.e. GMM) is… (More)

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Cite this paper

@inproceedings{Lucey2003ImprovedSV, title={Improved speaker verification through probabilistic subspace adaptation}, author={Simon Lucey and Tsuhan Chen}, booktitle={INTERSPEECH}, year={2003} }