REPORT valente:rr06-19/IDIAP Infinite Models for Speaker Clustering Valente, Fabio EXTERNAL http://publications.idiap.ch/attachments/reports/2006/valente-idiap-rr-06-19.pdf PUBLIC Idiap-RR-19-2006 2006 IDIAP Published in ICLSP 2006 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 compared with fixed prior systems learned by ML/BIC, MAP/BIC and a Variational Bayesian method. Experiments are run on a speaker clustering task on the NIST-96 Broadcast News database.