activity
20142019
most citedThe LOCATA Challenge: Acoustic Source Localization and Tracking

148 citations · 172 across the 8 of their papers we have counts for

collaborators

9 papers

eess.AS2019★ 148 cited

The LOCATA Challenge: Acoustic Source Localization and Tracking

Christine Evers, Heinrich Loellmann, Heinrich Mellmann +4

The ability to localize and track acoustic events is a fundamental prerequisite for equipping machines with the ability to be aware of and engage with humans in their surrounding e…

eess.AS2018★ 1 cited

Proceedings of the LOCATA Challenge Workshop -- a satellite event of IWAENC 2018

Heinrich W. Loellmann, Christine Evers, Alexander Schmidt +3

Algorithms for acoustic source localization and tracking provide estimates of the positional information about active sound sources in acoustic environments and are essential for a…

cs.SD2017

Design of robust two-dimensional polynomial beamformers as a convex optimization problem with application to robot audition

Hendrik Barfuss, Markus Bachmann, Michael Buerger +2

We propose a robust two-dimensional polynomial beamformer design method, formulated as a convex optimization problem, which allows for flexible steering of a previously proposed da…

cs.SD2016

HRTF-based two-dimensional robust least-squares frequency-invariant beamformer design for robot audition

Hendrik Barfuss, Michael Buerger, Jasper Podschus +1

In this work, we propose a two-dimensional Head-Related Transfer Function (HRTF)-based robust beamformer design for robot audition, which allows for explicit control of the beamfor…

cs.SD2016

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

Hendrik Barfuss, Marcel Mueglich, Walter Kellermann

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…

cs.SD2016★ 10 cited

Robust coherence-based spectral enhancement for speech recognition in adverse real-world environments

Hendrik Barfuss, Christian Huemmer, Andreas Schwarz +1

Speech recognition in adverse real-world environments is highly affected by reverberation and nonstationary background noise. A well-known strategy to reduce such undesired signal…

cs.SD2016★ 3 cited

On the Impact of Localization Errors on HRTF-based Robust Least-Squares Beamforming

Hendrik Barfuss, Walter Kellermann

In this work, a recently proposed Head-Related Transfer Function (HRTF)-based Robust Least-Squares Frequency-Invariant (RLSFI) beamformer design is analyzed with respect to its rob…

cs.SD2015★ 6 cited

Robust coherence-based spectral enhancement for distant speech recognition

Hendrik Barfuss, Christian Huemmer, Andreas Schwarz +1

In this contribution to the 3rd CHiME Speech Separation and Recognition Challenge (CHiME-3) we extend the acoustic front-end of the CHiME-3 baseline speech recognition system by a…

cs.SD2014★ 4 cited

Improving Blind Source Separation Performance By Adaptive Array Geometries For Humanoid Robots

Hendrik Barfuss, Walter Kellermann

In this paper, the concept of an adaptation algorithm is proposed, which can be used to blindly adapt the microphone array geometry of a humanoid robot such that the performance of…