Skip Navigation

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences 2005 E88-A(8):2078-2086; doi:10.1093/ietfec/e88-a.8.2078
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Request Permissions
Google Scholar
Right arrow Articles by SATO, M.
Right arrow Articles by FUJITA, Y.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Copyright © 2005 The Institute of Electronics, Information and Communication Engineers

Special Section on Papers Selected from the 19th Symposium on Signal Processing -- Papers -- Digital Signal Processing

Near-Field Sound-Source Localization Based on a Signed Binary Code

Miki SATO1, Akihiko SUGIYAMA1, Osamu HOSHUYAMA1, Nobuyuki YAMASHITA1 and Yoshihiro FUJITA1

1 The authors are with Media and Information Research Laboratories, NEC Corporation, Kawasaki-shi, 211-8666 Japan. E-mail: m-sato{at}dh.jp.nec.com

This paper proposes near-field sound-source localization based on crosscorrelation of a signed binary code. The signed binary code eliminates multibit signal processing for simpler implementation. Explicit formulae with near-field assumption are derived for a two microphone scenario and extended to a three microphone case with front-rear discrimination. Adaptive threshold for enabling and disabling source localization is developed for robustness in noisy environment. The proposed sound-source localization algorithm is implemented on a fixed-point DSP. Evaluation results in a robot scenario demonstrate that near-field assumption and front-rear discrimination provides almost 40% improvement in DOA estimation. A correct detection rate of 85% is obtained by a robot in a home environment.

Key Words: source localization, DOA estimation, near-field, signal processor, microphone array, robot

Manuscript received December 10, 2004. Manuscript revised March 10, 2005. Final manuscript received May 2, 2005.


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.