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A Noise Robust Multichannel Algorithm for Blind Estimation of Room Impulse Responses
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Liao Lei
1
Khong Andy W. H.
2
1
Electrical and Electronic Engineering, Nanyang Technological University, Singapore
2
Electrical and Electronic Engineering, Nanyang Technological University, Singapore
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Blind system identification~(BSI) algorithms for speech dereverberation have generated much interest in recent years. In this paper, we revisit the misconvergence problem that exists in the normalized multichannel frequency-domain least-mean-square (NMCFLMS) algorithm under a noisy environment. To address this misconvergence and to achieve a high rate of convergence, we propose to introduce a power and direct path constraint to the NMCFLMS algorithm.
Simulations results show an improvement both in convergence rate and noise robustness compared to the direct path constrained only NMCFLMS algorithm.
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