深度学习中的多模态情感识别研究

Xin Gu, Yinghua Shen, Jie Xu
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引用次数: 8

摘要

情绪识别是近几十年来一个活跃的研究课题。它可以分为基于生理信号的内隐情绪识别和基于非生理信号的直接情绪识别。通过对不同模态信息的处理直接进行情感识别是本文研究的重点。首先,详细分析了视频情感识别和音乐情感识别的框架和研究方法,特别是基于深度学习的研究方法。然后,对视频和音频相结合的多模态情感识别融合技术进行了比较。在以上内容的基础上,本文综述了基于深度学习的情绪识别的研究现状。最后,根据目前的研究现状,对未来的研究提出了一些建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multimodal Emotion Recognition in Deep Learning:a Survey
Emotion recognition is an active research issue in recent decades. It can be divided into implicit emotion recognition based on physiological signals and direct emotion recognition based on non-physiological signals. Direct emotion recognition through the processing of different modal information for emotion recognition is the emphasis of this paper. Firstly, we analyze the framework and research methods of video emotion recognition and music emotion recognition in detail, especially the research method based on deep learning. Then, the fusion technology in multimodal emotion recognition combining video and audio is compared. On the basis of the above contents, this paper reviews the research status of emotion recognition based on deep learning. Finally, according to the current research situation, we put forward some suggestions for future research.
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