open access

https://hdl.handle.net/2115/39751

Blind Source Separation in Noisy and Reverberating Environment Using Genetic Algorithm

英語

2009-10-04

Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference, International Organizing Committee

Proceedings : APSIPA ASC 2009 : Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference

485-489

APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference. 4-7 October 2009. Sapporo, Japan. Oral session: Intelligent Systems for Multimedia Signal Processing (6 October 2009).

A method of blind source separation is proposed using genetic algorithm (GA) for separating mixed voices in noisy and reverberating environment. Generally, the performance of the blind source separation becomes degraded when random noise is added to the mixed voices. Moreover, the reverberating environment must be considered in separating the mixed voices actually obtained. In order to solve the problem of blind source separation in such circumstances, a method to utilize GA is proposed, in which the system parameters are represented as chromosomes and the correlation between the output voices is minimized using GA. Computer simulations show its high performance in separating voices influenced with additive noise and reverberation.

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