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首页> 外文会议>Conference on Speech Technology and Human-Computer Dialogue >Towards a multimodal emotion recognition framework to be integrated in a Computer Based Speech Therapy System
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Towards a multimodal emotion recognition framework to be integrated in a Computer Based Speech Therapy System

机译：朝着多模式情绪识别框架集成在基于计算机的语音治疗系统中

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摘要

Emotion recognition has become a “must have” for all system that want to inspire user's confidence and to interact in a friendly and familiar way. In this paper we propose an improved CBST (Computer Based Speech Therapy System) architecture by using multimodal (i.e. paralanguage, visual, and physiological parameters) emotion recognition techniques. Most research on emotion recognition using speech analysis so far has focused on adult subjects, with a good pronunciation. However, little research has been conducted on adapting classical affect recognition techniques in “narrow areas” such as children speech therapy, where emotions play a key role. So, our paper aims to deal with the assessment of the affective state of the children with speech disorders. A brief literature review is presented, exploring the recent work in the area. New hypothesis are formulated in order to identify the limits of using classical emotion recognition techniques in this special conditions. An original framework to be integrated in the CBST architecture is also outlined. The proposed framework can be seen as an extension of a CBST but will be flexible to other learning systems too.
机译：情绪识别已成为A＆＃x201c;必须有＆＃x201d;对于想要激发用户信心并以友好和熟悉的方式互动的所有系统。在本文中，我们通过使用多模式（即帕拉语，视觉和生理参数）情感识别技术提出改进的CBST（基于计算机的语音治疗系统）架构。大多数使用言语分析的情感认同研究到目前为止已经专注于成年人，有一个很好的发音。但是，在＆＃x201c中调整古典影响识别技术的情况下进行了很少的研究;狭窄的区域＆＃x201d;如儿童言语治疗，情绪发挥关键作用。因此，我们的论文旨在应对讲话障碍的儿童情感状态的评估。提出了简短的文献综述，探索了该地区最近的工作。制定了新的假设，以确定在这种特殊条件下使用经典情绪识别技术的限制。还概述了在CBST架构中集成的原始框架。所提出的框架可以被视为CBST的扩展，但也会灵活地对其他学习系统。

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