An ongoing review of speech emotion recognition

Autor:	Javier de Lope, Manuel Graña
Jazyk:	angličtina
Rok vydání:	2023
Předmět:	machine learning Artificial Intelligence speech emotion recognition Cognitive Neuroscience datasets deep learning speech feature extraction Computer Science Applications
Popis:	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. This work has been carried out with the support of project PID2020-116346GB-I00 funded by the Spanish MICIN.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::158a84764c9ebb8e97a46914690e5276 http://hdl.handle.net/10810/60356 Zobrazit plný text záznamu