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JRM Vol.29 No.1 pp. 198-212
doi: 10.20965/jrm.2017.p0198
(2017)

Paper:

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Low Latency and High Quality Two-Stage Human-Voice-Enhancement System for a Hose-Shaped Rescue Robot

Yoshiaki Bando*1, Hiroshi Saruwatari*2, Nobutaka Ono*3, Shoji Makino*4, Katsutoshi Itoyama*1, Daichi Kitamura*5, Masaru Ishimura*4, Moe Takakusaki*4, Narumi Mae*4, Kouei Yamaoka*4, Yutaro Matsui*4, Yuichi Ambe*6, Masashi Konyo*6, Satoshi Tadokoro*6, Kazuyoshi Yoshii*1, and Hiroshi G. Okuno*7

*1Graduate School of Informatics, Kyoto University
Yoshida-honmachi, Sakyo-ku, Kyoto 606-8501, Japan

*2Graduate School of Information Science and Technology, The University of Tokyo
7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan

*3National Institute of Informatics
2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan

*4Graduate School of Systems and Information Engineering, Tsukuba University
1-1-1 Tennodai, Tsukuba, Ibaraki 305-8577, Japan

*5Department of Informatics, School of Multidisciplinary Sciences, SOKENDAI
2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan

*6Graduate School of Information Science, Tohoku University
6-6-01 Aramaki Aza Aoba, Aoba-ku, Sendai 980-8579, Japan

*7Graduate Program for Embodiment Informatics, Waseda University
2-4-12 Okubo, Shinjuku, Tokyo 169-0072, Japan

Received:
July 25, 2016
Accepted:
October 18, 2016
Published:
February 20, 2017
Creative Commons License
Keywords:
hose-shaped rescue robot, blind human-voice enhancement, search and rescue, robot audition
Abstract
This paper presents the design and implementation of a two-stage human-voice enhancement system for a hose-shaped rescue robot. When a microphone-equipped hose-shaped robot is used to search for a victim under a collapsed building, human-voice enhancement is crucial because the sound captured by a microphone array is contaminated by the ego-noise of the robot. For achieving both low latency and high quality, our system combines online and offline human-voice enhancement, providing an overview first and then details on demand. The online enhancement is used for searching for a victim in real time, while the offline one facilitates scrutiny by listening to highly enhanced human voices. Our online enhancement is based on an online robust principal component analysis, and our offline enhancement is based on an independent low-rank matrix analysis. The two enhancement methods are integrated with Robot Operating System (ROS). Experimental results showed that both the online and offline enhancement methods outperformed conventional methods.
Human-voice enhancement system for a hose-shaped robot

Human-voice enhancement system for a hose-shaped robot

Cite this article as:
Y. Bando, H. Saruwatari, N. Ono, S. Makino, K. Itoyama, D. Kitamura, M. Ishimura, M. Takakusaki, N. Mae, K. Yamaoka, Y. Matsui, Y. Ambe, M. Konyo, S. Tadokoro, K. Yoshii, and H. Okuno, “Low Latency and High Quality Two-Stage Human-Voice-Enhancement System for a Hose-Shaped Rescue Robot,” J. Robot. Mechatron., Vol.29 No.1, pp. 198-212, 2017.
Data files:
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