Acoustic feature selection and classification of emotions in speech using a 3D continuous emotion model

dc.creatorHumberto Pérez Espinosa
dc.creatorCARLOS ALBERTO REYES GARCIA
dc.creatorLuis Villaseñor Pineda
dc.date2012
dc.date.accessioned2023-07-25T16:24:40Z
dc.date.available2023-07-25T16:24:40Z
dc.identifierhttp://inaoe.repositorioinstitucional.mx/jspui/handle/1009/1956
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7807147
dc.descriptionIn this paper we report the results obtained from experiments with a database of emotional speech in English in order to find the most important acoustic features to estimate Emotion Primitives which determine the emotional content on speech. We are interested in exploiting the potential benefits of continuous emotion models, so in this paper we demonstrate the feasibility of applying this approach to annotation of emotional speech and we explore ways to take advantage of this kind of annotation to improve the automatic classification of basic emotions.
dc.formatapplication/pdf
dc.languageeng
dc.publisherElsevier Ltd.
dc.relationcitation:Perez-Espinosa, H., et al., (2012). Acoustic feature selection and classification of emotions in speech using a 3D continuous emotion model, Biomedical Signal Processing and Control, (7): 79–87
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectinfo:eu-repo/classification/Automatic emotion recognition/Automatic emotion recognition
dc.subjectinfo:eu-repo/classification/Continuous emotion model/Continuous emotion model
dc.subjectinfo:eu-repo/classification/Feature selection/Feature selection
dc.subjectinfo:eu-repo/classification/cti/1
dc.subjectinfo:eu-repo/classification/cti/12
dc.subjectinfo:eu-repo/classification/cti/1203
dc.subjectinfo:eu-repo/classification/cti/1203
dc.titleAcoustic feature selection and classification of emotions in speech using a 3D continuous emotion model
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.audiencestudents
dc.audienceresearchers
dc.audiencegeneralPublic


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