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Closed-form expressions vs. BIC: A comparison for speaker clustering

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dc.contributor.author Stafylakis, T en
dc.contributor.author Anguera, X en
dc.contributor.author Katsouros, V en
dc.contributor.author Carayannis, G en
dc.date.accessioned 2014-03-01T02:52:56Z
dc.date.available 2014-03-01T02:52:56Z
dc.date.issued 2011 en
dc.identifier.issn 15206149 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/36154
dc.subject Bayesian methods en
dc.subject Clustering methods en
dc.subject Speaker recognition en
dc.subject.other Bayesian methods en
dc.subject.other Closed-form expression en
dc.subject.other Clustering methods en
dc.subject.other Conjugate prior en
dc.subject.other Exponential family en
dc.subject.other Hyper-parameter en
dc.subject.other Latent variable en
dc.subject.other Model parameters en
dc.subject.other Speaker clustering en
dc.subject.other Speaker recognition en
dc.subject.other Tuning parameter en
dc.subject.other Bayesian networks en
dc.subject.other Signal processing en
dc.subject.other Speech communication en
dc.title Closed-form expressions vs. BIC: A comparison for speaker clustering en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ICASSP.2011.5946924 en
heal.identifier.secondary http://dx.doi.org/10.1109/ICASSP.2011.5946924 en
heal.identifier.secondary 5946924 en
heal.publicationDate 2011 en
heal.abstract In this paper, the use of closed-form expressions is compared to the BIC approximation, with respect to speaker clustering. We first show that the particular BIC setting which is commonly used in this task, namely the approximation of the marginal - with respect to the model parameters - and conditional - with respect to the latent variables - likelihood, belongs to an exponential family, and hence admits a closed-form expression by attaching conjugate priors. We then formalize the role of the tuning parameter as a hyperparameter of the prior and finally we explain the several proposed setting - global, local and segmental - based on the strength of the prior. Experiments are carried out for the speaker clustering task and improvement over the BIC approximation is reported. © 2011 IEEE. en
heal.journalName ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings en
dc.identifier.doi 10.1109/ICASSP.2011.5946924 en
dc.identifier.spage 2228 en
dc.identifier.epage 2231 en


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