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A Frequency-Domain Normalized MBD Algorithm with Unidirectional Filters for Blind Speech Separation  

Kim Hye-Jin (Department of Electronic Engineering, Paichai University)
Nam Seung-Hyon (Department of Electronic Engineering, Paichai University)
Publication Information
The Journal of the Acoustical Society of Korea / v.24, no.2E, 2005 , pp. 54-60 More about this Journal
Abstract
A new multichannel blind deconvolution algorithm is proposed for speech mixtures. It employs unidirectional filters and normalization of gradient terms in the frequency domain. The proposed algorithm is shown to be approximately nonholonomic. Thus it provides improved convergence and separation performances without whitening effect for nonstationary sources such as speech and audio signals. Simulations using real world recordings confirm superior performances over existing algorithms and its usefulness for real applications.
Keywords
Blind Multichannel Deconvolution; Blind Source Separation; Natural Gradient; Whitening Effect; Spectrum Normalization;
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