Autoencoder With Emotion Embedding for Speech Emotion Recognition
An important part of the human-computer interaction process is speech emotion recognition (SER), which has been receiving more attention in recent years. However, although a wide diversity of methods has been proposed in SER, these approaches still cannot improve the performance. A key issue in the...
Main Authors: | Chenghao Zhang, Lei Xue |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9389805/ |
Similar Items
-
Unsupervised Feature Learning for Speech Emotion Recognition Based on Autoencoder
by: Yangwei Ying, et al.
Published: (2021-08-01) -
Multi-Modal Emotion Recognition Using Speech Features and Text-Embedding
by: Sung-Woo Byun, et al.
Published: (2021-08-01) -
Emotion Recognition using AutoEncoders and Convolutional Neural Networks
by: Luis Antonio Beltrán Prieto, et al.
Published: (2018-06-01) -
Speech Emotion Recognition: Humans vs Machines
by: S. Werner, et al.
Published: (2019-12-01) -
Lexical Dependent Emotion Detection Using Synthetic Speech Reference
by: Reza Lotfian, et al.
Published: (2019-01-01)