An ongoing review of speech emotion recognition

Lope Asiaín, Javier de 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.

Descripción

Título: An ongoing review of speech emotion recognition
Autor/es:
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

Texto completo

[thumbnail of 9999349.pdf] PDF (Portable Document Format) - Se necesita un visor de ficheros PDF, como GSview, Xpdf o Adobe Acrobat Reader
Descargar (556kB)

Resumen

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.

Proyectos asociados

Tipo
Código
Acrónimo
Responsable
Título
Gobierno de España
PID2020-116346GB-I00
Sin especificar
Sin especificar
Sin especificar

Más información

ID de Registro: 80888
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