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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.

han'gug eumhyang haghoeji/han-guk eumhyang hakoeji

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