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dc.contributor.authorVásquez Correa, Juan Camilo-
dc.contributor.authorOrozco Arroyave, Juan Rafael-
dc.contributor.authorVargas Bonilla, Jesús Francisco-
dc.contributor.authorArias Londoño, Julian D.-
dc.contributor.authorNoth, Elmar-
dc.date.accessioned2023-06-13T13:39:45Z-
dc.date.available2023-06-13T13:39:45Z-
dc.date.issued2016-
dc.identifier.citationVásquez-Correa, J.C., Orozco-Arroyave, J.R., Arias-Londoño, J.D., Vargas-Bonilla, J.F., Nöth, E. (2016). Non-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional Speech. In: , et al. Recent Advances in Nonlinear Speech Processing. Smart Innovation, Systems and Technologies, vol 48. Springer, Cham. https://doi.org/10.1007/978-3-319-28109-4_20spa
dc.identifier.issn2190-3018-
dc.identifier.urihttps://hdl.handle.net/10495/35453-
dc.description.abstractABSTRACT: We propose a new set of features based on non-linear dynamics measures obtained from the wavelet packet transform for the automatic recognition of “fear-type” emotions in speech. The experiments are carried out using three different databases with a Gaussian Mixture Model for classification. The results indicate that the proposed approach is promising for modeling “fear-type” emotions in speech.spa
dc.format.extent8spa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherSpringerspa
dc.type.hasversioninfo:eu-repo/semantics/publishedVersionspa
dc.rightsinfo:eu-repo/semantics/openAccessspa
dc.rights.urihttp://creativecommons.org/licenses/by/2.5/co/*
dc.titleNon-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional Speechspa
dc.typeinfo:eu-repo/semantics/articlespa
dc.publisher.groupGrupo de Investigación en Telecomunicaciones Aplicadas (GITA)spa
dc.identifier.doi10.1007/978-3-319-28109-4_20-
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.rights.accessrightshttp://purl.org/coar/access_right/c_abf2spa
dc.identifier.eissn2190-3026-
oaire.citationtitleSmart Innovation, Systems and Technologiesspa
oaire.citationstartpage199spa
oaire.citationendpage207spa
oaire.citationvolume48spa
dc.rights.creativecommonshttps://creativecommons.org/licenses/by/4.0/spa
oaire.fundernameDepartamento Administrativo de Ciencia, Tecnología e Innovación, COLCIENCIASspa
dc.publisher.placeBasilea, Suizaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1spa
dc.type.redcolhttps://purl.org/redcol/resource_type/ARTspa
dc.type.localArtículo de investigaciónspa
dc.subject.decsReconocimiento Facial-
dc.subject.decsFacial Recognition-
dc.subject.decsReconocimiento de Voz-
dc.subject.decsVoice Recognition-
dc.subject.lembSistemas de procesamiento de la voz-
dc.subject.lembSpeech processing systems-
dc.subject.lembLinguistica computacional-
dc.subject.lembComputational linguistics-
dc.subject.proposalNon-linear Dynamicsspa
dc.subject.proposalNon-linear speech processingspa
dc.subject.proposalWavelet Packet Transformspa
oaire.awardtitlePrograma de jóvenes investigadores e innovadores 2014spa
dc.description.researchgroupidCOL0044448spa
oaire.funderidentifier.rorRoR:048jthh02-
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