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Multi-party Interactions by Quizmaster Robot in Speech-Based Jeopardy! Like Games

机译：Quizmaster Robot在基于语音的危险中进行多方交互！喜欢游戏

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Robot Audition enables a robot to listen to simultaneous utterances via its own ears by localizing and separating sound sources and recognizing separated sounds. Although several applications are developed as a proof of concept, such capabilities of robot audition have not been well shaped in the context of applications, particularly, in multi-parson interactions. This paper focuses on the question "what is the next step when a robot and/or system can listen to several utterances at once?'' As an example of multi-party interactions, the paper describes a quizmaster robot for speech-based Jeopardy! like games with two interaction models, school-class-type and auction-type. The player of the quiz answers a question by getting the right to answer in the former, while he/she can say an answer directly. Empirical evaluation of the system and lessons are discussed.
机译：Robot Audition通过定位和分离声源并识别分离的声音，使机器人能够通过自己的耳朵聆听同时发声的信息。尽管开发了一些应用程序作为概念验证，但在应用程序的环境中，尤其是在多派生交互中，这种机器人试听的功能并未得到很好的塑造。本文关注的问题是“机器人和/或系统可以同时收听多种语音时，下一步是什么？”作为多方交互的一个示例，本文描述了一种基于语音的危险的测验机器人！例如具有学校模型和拍卖模型两种交互模型的游戏。测验的参与者通过获得前者的回答权来回答问题，而他/她可以直接说出答案。和课程进行了讨论。

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