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An ongoing review of speech emotion recognition

dc.contributor.authorDe Lope Asiaín, Jan Javier
dc.contributor.authorGraña Romay, Manuel María
dc.date.accessioned2023-03-14T18:16:45Z
dc.date.available2023-03-14T18:16:45Z
dc.date.issued2023-04
dc.identifier.citationNeurocomputing 528 : 1-11 (2023)es_ES
dc.identifier.issn0925-2312
dc.identifier.issn1872-8286
dc.identifier.urihttp://hdl.handle.net/10810/60356
dc.description.abstractUser emotional status recognition is becoming a key feature in advanced Human Computer Interfaces (HCI). A key source of emotional information is the spoken expression, which may be part of the interaction between the human and the machine. Speech emotion recognition (SER) is a very active area of research that involves the application of current machine learning and neural networks tools. This ongoing review covers recent and classical approaches to SER reported in the literature.es_ES
dc.description.sponsorshipThis work has been carried out with the support of project PID2020-116346GB-I00 funded by the Spanish MICIN.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relationinfo:eu-repo/grantAgreement/MICINN/PID2020-116346GB-I00es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectspeech emotion recognitiones_ES
dc.subjectdeep learninges_ES
dc.subjectdatasetses_ES
dc.subjectmachine learninges_ES
dc.subjectspeech feature extractiones_ES
dc.titleAn ongoing review of speech emotion recognitiones_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/es_ES
dc.rights.holderAtribución-NoComercial-SinDerivadas 3.0 España*
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0925231223000103?via%3Dihubes_ES
dc.identifier.doi10.1016/j.neucom.2023.01.002
dc.departamentoesCiencia de la computación e inteligencia artificiales_ES
dc.departamentoeuKonputazio zientziak eta adimen artifizialaes_ES


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© 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/
Except where otherwise noted, this item's license is described as © 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/