Skip Navigation

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences 2005 E88-A(7):1665-1672; doi:10.1093/ietfec/e88-a.7.1665
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 Search for citing articles in:
ISI Web of Science (1)
Right arrow Request Permissions
Google Scholar
Right arrow Articles by ANDO, A.
Right arrow Articles by KUROZUMI, K.
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 Multi-channel Acoustic Signal Processing -- Papers -- Blind Source Separation

Separation of Sound Sources Propagated in the Same Direction

Akio ANDO1, Masakazu IWAKI1, Kazuho ONO1 and Koichi KUROZUMI1

1 The authors are with NHK, Tokyo, 157-8501 Japan. E-mail: ando.a-io{at}nhk.or.jp

This paper describes a method for separating a target sound from other noise arriving in a single direction when the target cannot, therefore, be separated by directivity control. Microphones are arranged in a line toward the sources to form null sensitivity points at given distances from the microphones. The null points exclude non-target sound sources on the basis of weighting coefficients for microphone outputs determined by blind source separation. The separation problem is thereby simplified to instantaneous separation by adjustment of the time-delays for microphone outputs. The system uses a direct (i.e. non-iterative) algorithm for blind separation based on second-order statistics, assuming that all sources are non-stationary signals. Simulations show that the 2-microphone system can separate a target sound with separability of more than 40 dB for the 2-source problem, and 25 dB for the 3-source problem when the other sources are adjacent.

Key Words: blind separation of signals, independent component analysis, microphone system, direct algorithm, decorrelation


Manuscript received October 22, 2004. Manuscript revised January 20, 2005. Final manuscript received March 5, 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.