Speech Emotion Recognition Technology in Human-Computer Interaction
Jingming Wang
2025
Abstract
Speech Emotion Recognition (SER), as an important research direction in the field of human-computer interaction, enables computers to perceive and understand the user's emotional state, thereby improving the naturalness and intelligence of the interaction. This paper systematically reviews the development context and key technologies of speech emotion recognition. First, the development history of this field is reviewed and the main stages of its algorithm evolution are sorted out. Then, based on the overall process of speech emotion recognition, this paper focuses on the core link, the feature extraction stage, and deeply explores its key role in recognition performance, and systematically compares the differences between traditional methods and machine learning methods. In addition, this paper also deeply analyzes the core challenges faced by current research from the perspectives of features and models. Through a comprehensive review of existing research results, this paper aims to provide theoretical references and technical support for building a more efficient and robust speech emotion recognition system.
DownloadPaper Citation
in Harvard Style
Wang J. (2025). Speech Emotion Recognition Technology in Human-Computer Interaction. In Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-792-4, SciTePress, pages 354-358. DOI: 10.5220/0014355300004718
in Bibtex Style
@conference{emiti25,
author={Jingming Wang},
title={Speech Emotion Recognition Technology in Human-Computer Interaction},
booktitle={Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2025},
pages={354-358},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014355300004718},
isbn={978-989-758-792-4},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - Speech Emotion Recognition Technology in Human-Computer Interaction
SN - 978-989-758-792-4
AU - Wang J.
PY - 2025
SP - 354
EP - 358
DO - 10.5220/0014355300004718
PB - SciTePress