%Aigaion2 BibTeX export from Idiap Publications
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@TECHREPORT{valente:rr06-19,
         author = {Valente, Fabio},
       projects = {Idiap},
          title = {Infinite Models for Speaker Clustering},
           type = {Idiap-RR},
         number = {Idiap-RR-19-2006},
           year = {2006},
    institution = {IDIAP},
           note = {Published in ICLSP 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 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.},
            pdf = {https://publications.idiap.ch/attachments/reports/2006/valente-idiap-rr-06-19.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2006/valente-idiap-rr-06-19.ps.gz},
ipdmembership={speech},
}