HRTF-based robust least-squares frequency-invariant polynomial beamforming

Barfuß H, Müglich M, Kellermann W (2016)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2016

Pages Range: 1-5

Event location: Xi'an CN

ISBN: 978-1-5090-2007-2

DOI: 10.1109/IWAENC.2016.7602909

Abstract

In this work, we propose a robust Head-Related Transfer Function (HRTF)-based polynomial beamformer design which accounts for the influence of a humanoid robot's head on the sound field. In addition, it allows for a flexible steering of our previously proposed robust HRTF-based beamformer design. We evaluate the HRTF-based polynomial beamformer design and compare it to the original HRTF-based beamformer design by means of signal-independent measures as well as word error rates of an off-the-shelf speech recognition system. Our results confirm the effectiveness of the polynomial beam-former design, which makes it a promising approach to robust beam-forming for robot audition.

Authors with CRIS profile

Hendrik Barfuß Professur für Signalverarbeitung Marcel Müglich Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Walter Kellermann Professur für Signalverarbeitung

How to cite

APA:

Barfuß, H., Müglich, M., & Kellermann, W. (2016). HRTF-based robust least-squares frequency-invariant polynomial beamforming. In Proceedings of the International Workshop on Acoustic Echo and Noise Control (IWAENC) (pp. 1-5). Xi'an, CN.

MLA:

Barfuß, Hendrik, Marcel Müglich, and Walter Kellermann. "HRTF-based robust least-squares frequency-invariant polynomial beamforming." Proceedings of the International Workshop on Acoustic Echo and Noise Control (IWAENC), Xi'an 2016. 1-5.

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