Research Article
Review of Research on Speech Emotion Recognition
@INPROCEEDINGS{10.1007/978-3-031-04409-0_29, author={Yali Yang and Fangyuan Xu}, title={Review of Research on Speech Emotion Recognition}, proceedings={Machine Learning and Intelligent Communications. 6th EAI International Conference, MLICOM 2021, Virtual Event, November 2021, Proceedings}, proceedings_a={MLICOM}, year={2022}, month={5}, keywords={Speech emotion recognition Recognition algorithm Attention mechanism}, doi={10.1007/978-3-031-04409-0_29} }- Yali Yang
Fangyuan Xu
Year: 2022
Review of Research on Speech Emotion Recognition
MLICOM
Springer
DOI: 10.1007/978-3-031-04409-0_29
Abstract
Language is an effective way to express human emotions, but emotions are difficult to describe and judge with computers, so it is an important task to analyze their emotions through speech. We summarized the current situation of speech emotion recognition from five aspects: the development of speech emotion recognition, emotion description model, emotion speech database, feature extraction, and emotion recognition algorithm. By summarizing and analyzing these five aspects, we can predict the future development trend of speech emotion recognition and improve recognition accuracy combined with other information for joint analysis. In this paper, we summarized the commonly used emotion database, compared the popular attention mechanism in speech emotion recognition, and finally, proposed the prospect of speech emotion recognition.
