抄録
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.
本文言語 | English |
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ホスト出版物のタイトル | Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017 |
編集者 | Fernando G. Tinetti, Quoc-Nam Tran, Leonidas Deligiannidis, Mary Qu Yang, Mary Qu Yang, Hamid R. Arabnia |
出版社 | Institute of Electrical and Electronics Engineers Inc. |
ページ | 1787-1792 |
ページ数 | 6 |
ISBN(電子版) | 9781538626528 |
DOI | |
出版ステータス | Published - 2018 12 4 |
イベント | 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017 - Las Vegas, United States 継続期間: 2017 12 14 → 2017 12 16 |
Other
Other | 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017 |
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Country | United States |
City | Las Vegas |
Period | 17/12/14 → 17/12/16 |
ASJC Scopus subject areas
- Computer Science (miscellaneous)
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Safety, Risk, Reliability and Quality