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Maximum likelihood Linear Programming Data Fusion for Speaker Recognition

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dc.contributor Universitat de Vic. Escola Politècnica Superior
dc.contributor Universitat de Vic. Grup de Recerca en Tecnologies Digitals
dc.contributor.author Monte-Moreno, Enric
dc.contributor.author Chetouani, Mohamed
dc.contributor.author Faundez-Zanuy, Marcos
dc.contributor.author Solé-Casals, Jordi
dc.date.accessioned 2013-02-13T09:00:04Z
dc.date.available 2013-02-13T09:00:04Z
dc.date.created 2009
dc.date.issued 2009
dc.identifier.citation MONTE-MORENO, Enric i altres . "Maximum likelihood linear programming data fusion for speaker recognition". A: Speech Communication, 2009, vol. 51, núm. 9, pàg. 820-830 ca_ES
dc.identifier.issn 0167-6393
dc.identifier.uri http://hdl.handle.net/10854/2075
dc.description.abstract Biometric system performance can be improved by means of data fusion. Several kinds of information can be fused in order to obtain a more accurate classification (identification or verification) of an input sample. In this paper we present a method for computing the weights in a weighted sum fusion for score combinations, by means of a likelihood model. The maximum likelihood estimation is set as a linear programming problem. The scores are derived from a GMM classifier working on a different feature extractor. Our experimental results assesed the robustness of the system in front a changes on time (different sessions) and robustness in front a change of microphone. The improvements obtained were significantly better (error bars of two standard deviations) than a uniform weighted sum or a uniform weighted product or the best single classifier. The proposed method scales computationaly with the number of scores to be fussioned as the simplex method for linear programming. ca_ES
dc.format application/pdf
dc.format.extent 19 p. ca_ES
dc.language.iso eng ca_ES
dc.publisher Elsevier ca_ES
dc.rights (c) 2009 Elsevier. Published article is available at: http://dx.doi.org/10.1016/j.specom.2008.05.009
dc.subject.other Veu, Processament de ca_ES
dc.title Maximum likelihood Linear Programming Data Fusion for Speaker Recognition ca_ES
dc.type info:eu-repo/semantics/article ca_ES
dc.identifier.doi https://doi.org/10.1016/j.specom.2008.05.009
dc.relation.publisherversion http://dx.doi.org/10.1016/j.specom.2008.05.009
dc.rights.accesRights info:eu-repo/semantics/openAccess ca_ES
dc.type.version info:eu-repo/acceptedVersion ca_ES
dc.indexacio Indexat a SCOPUS
dc.indexacio Indexat a WOS/JCR ca_ES

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