Multichannel Filtering for Optimum Noise Reduction in Microphone Arrays

Dinei Florencio and Henrique Malvar

Abstract

This paper introduces a new optimization criterion for the design

of microphone arrays, and derives an optimum filter based on this

criterion. The algorithm computes two separate correlation

matrices for the signal: one for when only background noise is

present, and one for when both noise and signal are present. A

filter is then computed based on these matrices, optimizing the

proposed weighted mean-square error criterion. A blockrecursive

version of the algorithm is presented, using LMS-like

adaptation of the multichannel filters, with a computational

complexity under 40 MIPS for a typical application with four

microphones. Simulation results with typical office noise show

improvements of up to 20 dB in signal-to-noise ratio, even in

low-noise environments.

Details

Publication typeInproceedings
Published inICASSP
PublisherIEEE
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