Deep Learning Techniques for Speech Emotion Recognition, from Databases to Models

The advancements in neural networks and the on-demand need for accurate and near real-time Speech Emotion Recognition (SER) in human–computer interactions make it mandatory to compare available methods and databases in SER to achieve feasible solutions and a firmer understanding of this open-ended p...

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Detalles Bibliográficos
Autores principales: Abbaschian, Babak Joze, Sierra-Sosa, Daniel, Elmaghraby, Adel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916477/
https://www.ncbi.nlm.nih.gov/pubmed/33578714
http://dx.doi.org/10.3390/s21041249

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916477/
https://www.ncbi.nlm.nih.gov/pubmed/33578714
http://dx.doi.org/10.3390/s21041249

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