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dc.contributor.advisorVargas Bonilla, Jesús Francisco-
dc.contributor.authorVásquez Correa, Juan Camilo-
dc.date.accessioned2017-01-06T19:04:16Z-
dc.date.available2017-01-06T19:04:16Z-
dc.date.issued2016-
dc.identifier.citationVásquez Correa, J. C. (2016). Emotion Recognition from Speech with Acoustic, Non-Linear and Wavelet-based Features Extracted in Different Acoustic Conditions (Tesis de maestría). Universidad de Antioquia, Medellín. Colombia.spa
dc.identifier.urihttp://hdl.handle.net/10495/5747-
dc.description.abstractABSTRACT: In the last years, there has a great progress in automatic speech recognition. The challenge now it is not only recognize the semantic content in the speech but also the called "paralinguistic" aspects of the speech, including the emotions, and the personality of the speaker. This research work aims in the development of a methodology for the automatic emotion recognition from speech signals in non-controlled noise conditions. For that purpose, different sets of acoustic, non-linear, and wavelet based features are used to characterize emotions in different databases created for such purpose.spa
dc.format.extent132spa
dc.format.mimetypeapplication/pdfspa
dc.language.isospaspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersionspa
dc.rightsAtribución-NoComercial-SinDerivadas 2.5 Colombia (CC BY-NC-ND 2.5 CO)*
dc.rightsinfo:eu-repo/semantics/openAccessspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/co/*
dc.subjectAnálisis acústicoes_ES
dc.subjectProcesamiento de voz no lineales_ES
dc.subjectReconocimiento de emocioneses_ES
dc.titleEmotion Recognition from Speech with Acoustic, Non-Linear and Wavelet-based Features Extracted in Different Acoustic Conditionsspa
dc.typeinfo:eu-repo/semantics/masterThesisspa
dc.publisher.groupSistemas Embebidos e Inteligencia Computacional (SISTEMIC)spa
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.rights.accessrightshttp://purl.org/coar/access_right/c_abf2spa
thesis.degree.nameMagíster en Ingenieríaspa
thesis.degree.levelMaestríaspa
thesis.degree.disciplineFacultad de Ingeniería. Maestría en Ingenieríaspa
thesis.degree.grantorUniversidad de Antioquiaspa
dc.rights.creativecommonshttps://creativecommons.org/licenses/by-nc-nd/4.0/spa
dc.publisher.placeMedellín, Colombiaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdccspa
dc.type.redcolhttps://purl.org/redcol/resource_type/TMspa
dc.type.localTesis/Trabajo de grado - Monografía - Maestríaspa
Aparece en las colecciones: Maestrías en Ingeniería

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