Analysis of Long-Term and Large-Scale Experiments on Robot Dialogues Using a Cloud Robotics Platform
Abstract
To build conversational robots, roboticists are required to have deep knowledge of both robotics and spoken dialogue systems. Unlike using stand-alone speech recognition/synthesis toolkits, a cloud robotics platform for human-robot communication enables high-quality speech recognition and synthesis that is optimized to human-robot interactions. This is challenging because we need to build a wide variety of functionalities ranging from a stable cloud platform to high-quality multilingual speech recognition and synthesis engines. From this background, we constructed rospeex, which is a cloud robotics platform for multilingual spoken dialogues with robots. Over 20,000 unique users have used rospeex in the two years since it was launched. In this paper, we propose a method to reduce the response time in rospeex; and analyze its effectiveness. We also analyze the server logs of rospeex that we have collected.
References
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K. Sugiura and K. Zettsu, "Rospeex: A cloud robotics platform for human-robot spoken dialogues," in Proc. IEEE/RSJ IROS, 2015, pp. 6155--6160.
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L. Iocchi, D. Holz, J. Ruiz-del Solar, K. Sugiura, and T. van der Zant, "RoboCup@Home: Analysis and results of evolving competitions for domestic and service robots," Artificial Intelligence, vol. 229, pp. 258--281, 2015.
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S. Matsuda, X. Hu, Y. Shiga, H. Kashioka, C. Hori, K. Yasuda, H. Okuma, M. Uchiyama, E. Sumita, H. Kawai, and S. Nakamura, "Multilingual Speech-to-Speech Translation System "VoiceTra"," in phProc. Workshop on Field Speech and Mobile Data, 2013, pp. 229--233.
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Index Terms
- Analysis of Long-Term and Large-Scale Experiments on Robot Dialogues Using a Cloud Robotics Platform
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Published In
March 2016
676 pages
ISBN:9781467383707
- General Chairs:
- Christoph Bartneck,
- Yukie Nagai,
- Program Chairs:
- Ana Paiva,
- Selma Šabanović
Sponsors
- SIGAI: ACM Special Interest Group on Artificial Intelligence
- RA: IEEE Robotics and Automation Society
- SIGCHI: ACM Special Interest Group on Computer-Human Interaction
In-Cooperation
- AAAI: American Association for Artificial Intelligence
- Human Factors & Ergonomics Soc: Human Factors & Ergonomics Soc
Publisher
IEEE Press
Publication History
Published: 07 March 2016
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- JSPS KAKENHI
- JST
Conference
HRI '16: ACM/IEEE International Conference on Human-Robot Interaction
March 7 - 10, 2016
Christchurch, New Zealand
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HRI '16 Paper Acceptance Rate 45 of 181 submissions, 25%;
Overall Acceptance Rate 268 of 1,124 submissions, 24%
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