NDLI: Speedup and performance improvement of ICA-based robot audition by parallel and resampling-based block-wise processing

Content Provider	IEEE Xplore Digital Library
Author	Takeda, R. Nakadai, K. Takahashi, T. Komatani, K. Ogata, T. Okuno, H.G.
Copyright Year	2010
Description	Author affiliation: Honda Research Institute Japan Co., Ltd., Wako, Saitama, 351-0114, Japan (Nakadai, K.) \|\| Department of Intelligence Science and Technology. Graduate School of Informatics, Kyoto University, 606-8501, Japan (Takeda, R.; Takahashi, T.; Komatani, K.; Ogata, T.; Okuno, H.G.)
Abstract	This paper describes a speedup and performance improvement of multi-channel semi-blind ICA (MCSB-ICA) with parallel and resampling-based block-wise processing. MCSB-ICA is an integrated method of sound source separation that accomplishes blind source separation, blind dereverberation, and echo cancellation. This method enables robots to separate user's speech signals from observed signals including the robot's own speech, other speech and their reverberations without a priori information. The main problem when MCSB-ICA is applied to robot audition is its high computational cost. We tackle this by multi-threading programming, and the two main issues are 1) the design of parallel processing and 2) incremental implementation. These are solved by a) multiple-stack-based parallel implementation, and b) resampling-based overlaps and block-wise separation. The experimental results proved that our method reduced the real-time factor to less than 0.5 with an eight-core CPU, and it improves the performance of automatic speech recognition by 2–10 points compared with the single-stack-based parallel implementation without the resampling technique.
Starting Page	1949
Ending Page	1956
File Size	1465279
Page Count	8
File Format	PDF
ISBN	9781424466740
ISSN	21530866
e-ISBN	9781424466764
DOI	10.1109/IROS.2010.5652757
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 Microphones Noise Integrated circuits Speech recognition Hidden Markov models
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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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