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dc.contributor.authorTemko, Andrey A.
dc.contributor.authorMacho Ciena, Dusan
dc.contributor.authorNadeu Camprubí, Climent
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2008-06-04T10:48:05Z
dc.date.available2008-06-04T10:48:05Z
dc.date.created2006
dc.date.issued2008
dc.identifier.citationTemko, A.; Macho, D.; Nadeu, C. Fuzzy integral based information fusion for classification of highly confusable non-speech sounds. Pattern Recognition, 2006, núm. 41, p. 1814–1823.
dc.identifier.urihttp://hdl.handle.net/2117/2064
dc.description.abstractAcoustic event classification may help to describe acoustic scenes and contribute to improve the robustness of speech technologies. In this work, fusion of different information sources with the fuzzy integral (FI), and the associated fuzzy measure (FM), are applied to the problem of classifying a small set of highly confusable human non-speech sounds. As FI is a meaningful formalism for combining classifier outputs that can capture interactions among the various sources of information, it shows in our experiments a significantly better performance than that of any single classifier entering the FI fusion module. Actually, that FI decision-level fusion approach shows comparable results to the high-performing SVM feature-level fusion and thus it seems to be a good choice when feature-level fusion is not an option. We have also observed that the importance and the degree of interaction among the various feature types given by the FM can be used for feature selection, and gives a valuable insight into the problem.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic
dc.subject.lcshSignal processing
dc.subject.lcshFuzzy measure theory
dc.subject.otherAcoustic event classification
dc.subject.otherAudio features
dc.subject.otherFuzzy integral and fuzzy measure
dc.subject.otherFeature-level and decision-level information fusion
dc.subject.otherInteraction of information sources
dc.subject.otherChoquet integral
dc.subject.otherFI fusion module
dc.subject.otherFI decision-level fusion approach
dc.subject.otherSVM classifier
dc.titleFuzzy integral based information fusion for classification of highly confusable non-speech sounds
dc.typeArticle
dc.subject.lemacProcessament del senyal
dc.subject.lemacFuzzy
dc.contributor.groupUniversitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.relation.projectidcttCHIL
dc.relation.projectidcttASESCA


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