• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Proceedings of the 6th International Conference on Speech Technology and Human-Computer Dialogue >Towards a multimodal emotion recognition framework to be integrated in a Computer Based Speech Therapy System
【24h】

Towards a multimodal emotion recognition framework to be integrated in a Computer Based Speech Therapy System

机译：致力于将多模式情感识别框架集成到基于计算机的语音治疗系统中

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

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：情感识别已成为所有希望激发用户信心并以友好和熟悉的方式进行交互的系统的“必备条件”。在本文中，我们提出了一种通过使用多模态（即副语言，视觉和生理参数）情绪识别技术改进的CBST（基于计算机的语音治疗系统）体系结构。迄今为止，大多数使用语音分析进行情感识别的研究都集中在成人主题上，具有良好的发音。然而，在诸如儿童言语治疗等“狭窄地区”中，对情感影响起着关键作用的经典情感识别技术的适应性研究很少。因此，本文旨在评估言语障碍儿童的情感状态。简要介绍了文献，探讨了该地区的最新工作。为了确定在这种特殊条件下使用经典情感识别技术的局限性，提出了新的假设。还概述了要集成到CBST体系结构中的原始框架。提议的框架可以看作是CBST的扩展，但也可以灵活地应用于其他学习系统。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号