DocumentCode :
252252
Title :
Development of a robot quizmaster with auditory functions for speech-based multiparty interaction
Author :
Nishimuta, I. ; Yoshii, K. ; Itoyama, K. ; Okuno, H.G.
Author_Institution :
Grad. Sch. of Inf., Kyoto Univ., Kyoto, Japan
fYear :
2014
fDate :
13-15 Dec. 2014
Firstpage :
328
Lastpage :
333
Abstract :
This paper presents a robot quizmaster that has auditory functions (i.e., ears) for moderating a multiplayer quiz game. The most basic form of oral interaction in a quiz game is that a quizmaster reads aloud a question, and each player is allowed to answer it whenever the answer comes to his or her mind. A critical problem in such oral interaction is that if multiple players speak almost simultaneously for answering, it is difficult for a “human” quizmaster to recognize overlapping answers and judge the correctness of each answer. To avoid this problem, players have conventionally been required to push a button, raise a hand, or say “Yes” to just get a right to answer a question before doing it. This requirement, however, inhibits natural oral interaction. In this paper we propose a “robot” quizmaster that can identify a player who correctly answers a question first, even when multiple players utter answers almost at the same time. Since our robot uses its own microphones (ears) embedded in the head, individual players are not required to wear small pin microphones close to their mouths. To localize, separate, and recognize overlapping utterances captured by the ears, we use a robot audition software called HARK and an automatic speech recognizer called Julius. Experimental results showed the effectiveness of our approach.
Keywords :
educational robots; human-robot interaction; humanoid robots; microphones; speech recognition; HARK; Julius; auditory functions; automatic speech recognizer; humanoid robot; microphones; multiplayer quiz game; oral interaction; robot audition software; robot quizmaster development; speech-based multiparty interaction; Ear; Games; Microphones; Noise; Robots; Speech; Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Integration (SII), 2014 IEEE/SICE International Symposium on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4799-6942-5
Type :
conf
DOI :
10.1109/SII.2014.7028059
Filename :
7028059
Link To Document :
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