对言语引起的情绪变化的研究

Zhaocheng Huang
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引用次数: 5

摘要

基于语音的情感识别在人机交互(HCI)中起着重要的作用,近年来引起了这一领域的广泛研究。然而,目前对情绪识别的研究主要集中在基于文件的情绪识别上,大多没有提供对情绪变化的洞察。在我的研究中,我将研究情绪转变问题,包括情绪变化点的定位、情绪转变模式的识别和情绪变化的预测或识别。除了在应用中具有潜在的重要意义外,对情绪变化的深入研究为从工程和潜在的心理学角度更好地理解情绪铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An investigation of emotion changes from speech
Emotion recognition based on speech plays an important role in Human Computer Interaction (HCI), which has motivated extensive recent investigation into this area. However, current research on emotion recognition is focused on recognizing emotion on a per-file basis and mostly does not provide insight into emotion changes. In my research, emotion transition problem will be investigated, including localizing emotion change points, recognizing emotion transition patterns and predicting or recognizing emotion changes. As well as being potentially important in applications, the research delving into emotion changes paves the way towards a better understanding of emotions from engineering and potentially psychological perspectives.
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