Infinite Models for Speaker Clustering

  • Fabio Valent
  • Published 2006

Abstract

In this paper we propose the use of infinite models for the clustering of speakers. Speaker segmentation is obtained trough a Dirichlet Process Mixture (DPM) model which can be interpreted as a flexible model with an infinite a priori number of components. Learning is based on a Variational Bayesian approximation of the infinite sequence. DPM model is… (More)

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Cite this paper

@inproceedings{Valent2006InfiniteMF, title={Infinite Models for Speaker Clustering}, author={Fabio Valent}, year={2006} }