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

Conference contribution


Publication Details

Author(s): Barfuß H, Müglich M, Kellermann W
Publication year: 2016
Pages range: 1-5
ISBN: 978-1-5090-2007-2
Language: English


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.


FAU Authors / FAU Editors

Barfuß, Hendrik
Professur für Nachrichtentechnik
Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik
Müglich, Marcel
Lehrstuhl für Multimediakommunikation und 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.

BibTeX: 

Last updated on 2019-18-04 at 18:08