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ORCID: https://orcid.org/0000-0001-9779-6057 and Graña Romay, Manuel
(2023).
An ongoing review of speech emotion recognition.
"Neurocomputing", v. 528
;
pp. 1-11.
ISSN 09252312.
https://doi.org/10.1016/j.neucom.2023.01.002.
| Título: | An ongoing review of speech emotion recognition |
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| Autor/es: |
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| Tipo de Documento: | Artículo |
| Título de Revista/Publicación: | Neurocomputing |
| Fecha: | 1 Abril 2023 |
| ISSN: | 09252312 |
| Volumen: | 528 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | Classification; CLASSIFIERS; CORPUS; Databases; datasets; Deep learning; FRAMEWORK; information; Machine learning; MODELS; NEURAL-NETWORK; Speech feature extraction; SYSTEM; Datasets; deep learning; Machine Learning; Speech emotion recognition; speech feature extraction; WEIGHTED SPECTRAL FEATURES |
| Escuela: | E.T.S. de Ingenieros Informáticos (UPM) |
| Departamento: | Inteligencia Artificial |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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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.
| ID de Registro: | 80888 |
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| Identificador DC: | https://oa.upm.es/80888/ |
| Identificador OAI: | oai:oa.upm.es:80888 |
| URL Portal Científico: | https://portalcientifico.upm.es/es/ipublic/item/9999349 |
| Identificador DOI: | 10.1016/j.neucom.2023.01.002 |
| URL Oficial: | https://www.sciencedirect.com/science/article/pii/... |
| Depositado por: | Portal Científico UPM |
| Depositado el: | 03 Abr 2024 09:37 |
| Ultima Modificación: | 25 Feb 2025 16:31 |
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