Exploration of an Independent Training Framework for Speech Emotion Recognition
Speech emotion recognition (SER) plays an indispensable role in human-computer interaction tasks, where the ultimate performance is determined by features, such as empirically learned features (ELFs) and automatically learned features (ALFs). Although the fusion of both ELFs and ALFs can complement...
Main Authors: | Shunming Zhong, Baoxian Yu, Han Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9290046/ |
Similar Items
-
Speech Emotion Recognition Based on Selective Interpolation Synthetic Minority Over-Sampling Technique in Small Sample Environment
by: Zhen-Tao Liu, et al.
Published: (2020-04-01) -
The automatic recognition of emotions in speech
by: Manamela, Phuti, John
Published: (2021) -
Comparative Study on Feature Selection and Fusion Schemes for Emotion Recognition from Speech
by: Santiago Planet, et al.
Published: (2012-09-01) -
A Comprehensive Review of Speech Emotion Recognition Systems
by: Taiba Majid Wani, et al.
Published: (2021-01-01) -
Multimodal Approach of Speech Emotion Recognition Using Multi-Level Multi-Head Fusion Attention-Based Recurrent Neural Network
by: Ngoc-Huynh Ho, et al.
Published: (2020-01-01)