NDLI: Sound source separation and automatic speech recognition for moving sources

Content Provider	IEEE Xplore Digital Library
Author	Nakadai, K. Nakajima, H. Ince, G. Hasegawa, Y.
Copyright Year	2010
Description	Author affiliation: Honda Research Insititute Japan Co., Ltd., 8-1 Honcho, Wako, Saitama 351-0114, JAPAN (Nakadai, K.; Nakajima, H.; Ince, G.; Hasegawa, Y.)
Abstract	This paper addresses sound source separation and speech recognition for moving sound sources. Real-world applications such as robots should cope with both moving and stationary sound sources. However, most studies assume only stationary sound sources. We introduce three key techniques to cope with moving sources, that is, Adaptive Step-size control (AS), Optima Controlled Recursive Average (OCRA), and Separation Parameter Switching (SPS). We implemented a real-time robot audition system with these techniques for our humanoid robot with an 8ch microphone array by using HARK which is our open-source software for robot audition. Preliminary results show that the performance of recognition of moving sound sources improved drastically, and also the performance of the system is shown through two speech dialog scenarios which requires sound source separation and automatic speech recognition for moving sources.
Starting Page	976
Ending Page	981
File Size	1067329
Page Count	6
File Format	PDF
ISBN	9781424466740
ISSN	21530866
e-ISBN	9781424466764
DOI	10.1109/IROS.2010.5651167
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-18
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robots Speech recognition Speech Microphones Timing Switches Source separation
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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