CLSTM: Deep Feature-Based Speech Emotion Recognition Using the Hierarchical ConvLSTM Network

CLSTM: Deep Feature-Based Speech Emotion Recognition Using the Hierarchical ConvLSTM Network

Artificial intelligence, deep learning, and machine learning are dominant sources to use in order to make a system smarter. Nowadays, the smart speech emotion recognition (SER) system is a basic necessity and an emerging research area of digital audio signal processing. However, SER plays an importa...

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Bibliographic Details
Main Authors: Mustaqeem, Soonil Kwon
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Mathematics
Subjects:
affective computing
artificial intelligence
deep learning
ConvLSTM
gated recurrent units (GRUs)
speech emotion recognition
Online Access:https://www.mdpi.com/2227-7390/8/12/2133

Internet

https://www.mdpi.com/2227-7390/8/12/2133

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