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http://dx.doi.org/10.7776/ASK.2012.31.5.317

Audio Source Separation Method Based on Beamspace-domain Multichannel Non-negative Matrix Factorization, Part I: Beamspace-domain Multichannel Non-negative Matrix Factorization system  

Lee, Seok-Jin (서울대학교 전기컴퓨터공학부 뉴미디어통신공동연구소 음향공학연구실)
Park, Sang-Ha (서울대학교 전기컴퓨터공학부 뉴미디어통신공동연구소 음향공학연구실)
Sung, Koeng-Mo (서울대학교 전기컴퓨터공학부 뉴미디어통신공동연구소 음향공학연구실)
Publication Information
The Journal of the Acoustical Society of Korea / v.31, no.5, 2012 , pp. 317-331 More about this Journal
Abstract
In this paper, we develop a multichannel blind source separation algorithm based on a beamspace transform and the multichannel non-negative matrix factorization (NMF) method. The NMF algorithm is a famous algorithm which is used to solve the source separation problems. In this paper, we consider a beamspace-time-frequency domain data model for multichannel NMF method, and enhance the conventional method using a beamspace transform. Our decomposition algorithm is applied to audio source separation, using a dataset from the international Signal Separation Evaluation Campaign 2010 (SiSEC 2010) for evaluation.
Keywords
Multichannel audio source separation; non-negative matrix factorization (NMF); beamspace-transform;
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Times Cited By KSCI : 1  (Citation Analysis)
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