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arXiv · 1607.06642

HRTF-based Robust Least-Squares Frequency-Invariant Polynomial Beamforming

Hendrik Barfuss·Marcel Mueglich·Walter Kellermann
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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 beamformer design, which makes it a promising approach to robust beamforming for robot audition.

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Hendrik Barfuss, Marcel Mueglich, Walter Kellermann. 2016-07-22. HRTF-based Robust Least-Squares Frequency-Invariant Polynomial Beamforming. https://arxiv.org/abs/1607.06642

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