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dc.contributor.authorTemko, Andrey A.
dc.contributor.authorNadeu Camprubí, Climent
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2008-06-04T10:59:51Z
dc.date.available2008-06-04T10:59:51Z
dc.date.created2005
dc.date.issued2006
dc.identifier.citationTemko, A.; Nadeu, C. Classification of acoustic events using SVM-based clustering schemes. Pattern Recognition, 2006, vol. 39, p. 682–694.
dc.identifier.urihttp://hdl.handle.net/2117/2065
dc.description.abstractAcoustic events produced in controlled environments may carry information useful for perceptually aware interfaces. In this paper we focus on the problem of classifying 16 types of meeting-room acoustic events. First of all, we have defined the events and gathered a sound database. Then, several classifiers based on support vector machines (SVM) are developed using confusion matrix based clustering schemes to deal with the multi-class problem. Also, several sets of acoustic features are defined and used in the classification tests. In the experiments, the developed SVM-based classifiers are compared with an already reported binary tree scheme and with their correlative. Gaussian mixture model (GMM) classifiers. The best results are obtained with a tree SVM-based classifier that may use a different feature set at each node. With it, a 31.5% relative average error reduction is obtained with respect to the best result from a conventional binary tree scheme.
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.otherAcoustic event classification
dc.subject.otherSupport vector machines
dc.subject.otherClustering
dc.subject.otherGaussian processes
dc.subject.otherSVM-based clustering
dc.subject.otherSound database
dc.subject.otherSVM-based classifier
dc.titleClassification of acoustic events using SVM-based clustering schemes
dc.typeArticle
dc.subject.lemacProcessament del senyal
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.projectidcttALIADO
local.personalitzacitaciotrue


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