TRINICON-BSS system incorporating robust dual beamformers for noise reduction

Anderson C, Meier S, Kellermann W, Teal PD, Poletti MA (2015)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2015

Pages Range: 529-533

Event location: Brisbane AU

ISBN: 978-1-4673-6997-8

DOI: 10.1109/ICASSP.2015.7178025

Abstract

In this paper, a method of adaptive noise suppression combining spatially robust fixed beamforming and the TRINICON blind source separation algorithm is presented. A multichannel sensor array is first processed using complementary fixed beamformers into maximum and minimum SINR channels. The channels form the inputs to a single 2×2 second-order statistics TRINICON-BSS system which adaptively compensates for imperfections of the fixed beamformer design relative to the acoustic scenario. It is demonstrated that integrating the TRINICON-BSS algorithm leads to improved SINR performance over the initial imperfect beamformer design, and achieves a performance comparable to a perfect MVDR beamformer.

Authors with CRIS profile

Stefan Meier Professur für Signalverarbeitung Walter Kellermann Professur für Signalverarbeitung

Involved external institutions

Victoria University of Wellington NZ New Zealand (NZ)

How to cite

APA:

Anderson, C., Meier, S., Kellermann, W., Teal, P.D., & Poletti, M.A. (2015). TRINICON-BSS system incorporating robust dual beamformers for noise reduction. In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 529-533). Brisbane, AU.

MLA:

Anderson, Craig, et al. "TRINICON-BSS system incorporating robust dual beamformers for noise reduction." Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane 2015. 529-533.

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