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A UNIFICATION OF ADAPTIVE MULTI-MICROPHONE NOISE REDUCTIO N SYSTEMS

Ann Spriet, Simon Doclo, Marc Moonen, Jan M Wouters

Open publisher page 9 citations

Abstract

In this paper a general cost function for adaptive multi-microphone noise reduction is proposed. From this cost func-tion, many existing adaptive multi-microphone noise reduction techniques can be derived, such as linearly constrained minimum variance (LCMV) beamforming, transfer-function LCMV, soft-constrained beamforming and speech-distortion weighted multi-channel Wiener filtering as well as combined approaches. 1.

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What this paper is about

In this paper a general cost function for adaptive multi-microphone noise reduction is proposed. From this cost func-tion, many existing adaptive multi-microphone noise reduction techniques can be derived, such as linearly constrained minimum variance (LCMV) beamforming, transfer-function LCMV, soft-constrained beamforming and speech-distortion weighted multi-channel Wiener filtering as well as combined approaches. 1.

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OpenAlex reports 9 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper a general cost function for adaptive multi-microphone noise reduction is proposed. From this cost func-tion, many existing adaptive multi-microphone noise reduction techniques can be derived, such as linearly constrained minimum variance (LCMV) beamforming, transfer-function LCMV, soft-constrained beamforming and speech-distortion weighted multi-channel Wiener filtering as well as combined approaches. 1.

Key concepts: Microphone, Beamforming, Computer science, Noise reduction, Noise (video), Adaptive beamformer, Wiener filter, Distortion (music)

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