A Novel emotion recognition technique from voiced-speech

dc.contributor.authorUribe, Alejandro
dc.contributor.authorGomez, Alejandro
dc.contributor.authorBastidas, Manuela
dc.contributor.authorQuintero, O. Lucia
dc.contributor.authorCampo, Damian
dc.contributor.departmentUniversidad EAFIT. Departamento de Cienciasspa
dc.contributor.researchgroupModelado Matemáticospa
dc.creatorUribe, Alejandro
dc.creatorGomez, Alejandro
dc.creatorBastidas, Manuela
dc.creatorQuintero, O. Lucia
dc.creatorCampo, Damian
dc.date.accessioned2021-04-12T14:11:49Z
dc.date.available2021-04-12T14:11:49Z
dc.date.issued2017-01-01
dc.description.abstractIn the framework of the beginning of the investigation due to a work of an undergraduate student, the authors at Mathematical Modeling Research Group (GRIMMAT) propose the use of emotion recognition algorithms previously developed by them adapting it to the FAU Aibo emotion corpus which was the database used in the INTERSPEECH 2009 Emotion Challenge. Firstly, by resampling the audio signal and windowing process, the audio signal is segmented. Next, each segment is decomposed through the discrete wavelet transform, then the descriptive characteristics of the decomposed signal are extracted. Finally, a supervised classification scheme is used. This paper presents the main results and conclusions obtained.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=8036
dc.identifier.isbn9781538603987
dc.identifier.otherWOS;000427290700073
dc.identifier.urihttp://hdl.handle.net/10784/27901
dc.language.isoengeng
dc.publisherIEEE
dc.rightsIEEE
dc.source2017 Ieee 3rd Colombian Conference On Automatic Control (ccac)
dc.subject.keywordspeech recognitioneng
dc.subject.keywordhuman-computer interactioneng
dc.subject.keywordcomputational paralinguisticseng
dc.titleA Novel emotion recognition technique from voiced-speecheng
dc.typeinfo:eu-repo/semantics/conferencePapereng
dc.typeconferencePapereng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localDocumento de conferenciaspa

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