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

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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Bibliographic Details
Main Authors: Babak Joze Abbaschian, Daniel Sierra-Sosa, Adel Elmaghraby
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sensors
Subjects:
attention mechanism
autoencoders
CNN
deep learning
emotional speech database
GAN
Online Access:https://www.mdpi.com/1424-8220/21/4/1249

Internet

https://www.mdpi.com/1424-8220/21/4/1249

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