首页> 外文会议>International Conference on Affective Computing and Intelligent Interaction(ACII 2007); 20070912-14; Lisbon(PT) >'You are Sooo Cool, Valentina!' Recognizing Social Attitude in Speech-Based Dialogues with an ECA
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'You are Sooo Cool, Valentina!' Recognizing Social Attitude in Speech-Based Dialogues with an ECA

机译:“你真酷,瓦伦蒂娜!”与非洲经委会在基于语音的对话中认识社会态度

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摘要

We propose a method to recognize the 'social attitude' of users towards an Embodied Conversational Agent (ECA) from a combination of linguistic and prosodic features. After describing the method and the results of applying it to a corpus of dialogues collected with a Wizard of Oz study, we discuss the advantages and disadvantages of statistical and machine learning methods if compared with other knowledge-based methods.
机译:我们提出一种从语言和韵律特征的组合中识别用户对具体化对话代理(ECA)的“社会态度”的方法。在描述了该方法以及将其应用于通过Wizard of Oz研究收集的对话语料库的结果之后,我们讨论了与其他基于知识的方法相比,统计和机器学习方法的优缺点。

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