End-to-End Speech Emotion Recognition With Gender Information

End-to-End Speech Emotion Recognition With Gender Information

Many works have focused on speech emotion recognition algorithms. However, most rely on the proper selection of speech acoustic features. In this paper, we propose a novel emotion recognition algorithm that does not rely on any speech acoustic features and combines speaker gender information. We aim...

Full description

Bibliographic Details
Main Author: Ting-Wei Sun
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Affective computing
speech emotion recognition
gender classifier
deep-learning
interpretability of deep-learning
Online Access:https://ieeexplore.ieee.org/document/9170617/

Internet

https://ieeexplore.ieee.org/document/9170617/

Similar Items