dc.contributor.author | De Lope Asiaín, Jan Javier | |
dc.contributor.author | Graña Romay, Manuel María | |
dc.date.accessioned | 2023-03-14T18:16:45Z | |
dc.date.available | 2023-03-14T18:16:45Z | |
dc.date.issued | 2023-04 | |
dc.identifier.citation | Neurocomputing 528 : 1-11 (2023) | es_ES |
dc.identifier.issn | 0925-2312 | |
dc.identifier.issn | 1872-8286 | |
dc.identifier.uri | http://hdl.handle.net/10810/60356 | |
dc.description.abstract | User 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.sponsorship | This work has been carried out with the support of project PID2020-116346GB-I00 funded by the Spanish MICIN. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation | info:eu-repo/grantAgreement/MICINN/PID2020-116346GB-I00 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | speech emotion recognition | es_ES |
dc.subject | deep learning | es_ES |
dc.subject | datasets | es_ES |
dc.subject | machine learning | es_ES |
dc.subject | speech feature extraction | es_ES |
dc.title | An ongoing review of speech emotion recognition | es_ES |
dc.type | info:eu-repo/semantics/article | es_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.holder | Atribución-NoComercial-SinDerivadas 3.0 España | * |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0925231223000103?via%3Dihub | es_ES |
dc.identifier.doi | 10.1016/j.neucom.2023.01.002 | |
dc.departamentoes | Ciencia de la computación e inteligencia artificial | es_ES |
dc.departamentoeu | Konputazio zientziak eta adimen artifiziala | es_ES |