Vector learning representation for generalized speech emotion recognition

Speech emotion recognition (SER) plays an important role in global business today to improve service efficiency. In the literature of SER, many techniques have been using deep learning to extract and learn features. Recently, we have proposed end-to-end learning for a deep residual local feature lea...

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Detalles Bibliográficos
Autores principales: Singkul, Sattaya, Woraratpanya, Kuntpong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9280549/
https://www.ncbi.nlm.nih.gov/pubmed/35846479
http://dx.doi.org/10.1016/j.heliyon.2022.e09196

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9280549/
https://www.ncbi.nlm.nih.gov/pubmed/35846479
http://dx.doi.org/10.1016/j.heliyon.2022.e09196

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