Dimensional Speech Emotion Recognition Review

被引：0
|
作者：
Li H.-F. [1 ,2 ]
Chen J. [1 ]
Ma L. [1 ,2 ]
Bo H.-J. [2 ]
Xu C. [1 ]
Li H.-W. [1 ]
机构：
[1] School of Computer Science and Technology, Harbin Institute of Technology, Harbin
[2] Shenzhen Academy of Aerospace Technology, Shenzhen
来源：
Ruan Jian Xue Bao/Journal of Software | 2020年 / 31卷 / 08期
基金：
中国国家自然科学基金;
关键词：
Affective computing; Cognitive theory of speech emotion; Dimensional emotion model; Dimensional emotion recognition algorithm; Emotion-related feature extraction from speech;
D O I：
10.13328/j.cnki.jos.006078
中图分类号：
学科分类号：
摘要：
Emotion recognition is an interdisciplinary research field which relates to cognitive science, psychology, signal processing, pattern recognition, artificial intelligence, and so on, aiming at helping computer understand human emotion state to realize natural human-computer interaction. In this survey, the psychological theory of emotion is firstly introduced as the theoretical basis for the emotion model used in emotion recognition, including appraisal theory, dimensional models of emotion, brain mechanisms, and computing models. Then, the advanced technologies of dimensional emotion recognition from the artificial intelligence perspective, such as the speech emotion corpora, feature extraction, classification, are presented in detail. Finally, the challenges of dimensional emotion recognition are discussed and the workable solutions and future research directions are proposed. © Copyright 2020, Institute of Software, the Chinese Academy of Sciences. All rights reserved.
引用
收藏
页码：2465 / 2491
页数：26
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