148 citations · 497 across the 45 of their papers we have counts for
7 papers · 1 filter
Efficient Target Activity Detection based on Recurrent Neural Networks
Daniel Gerber, Stefan Meier, Walter Kellermann
This paper addresses the problem of Target Activity Detection (TAD) for binaural listening devices. TAD denotes the problem of robustly detecting the activity of a target speaker i…
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…
An improved uncertainty decoding scheme with weighted samples for DNN-HMM hybrid systems
Christian Huemmer, Ramón Fernández Astudillo, Walter Kellermann
In this paper, we advance a recently-proposed uncertainty decoding scheme for DNN-HMM (deep neural network - hidden Markov model) hybrid systems. This numerical sampling concept av…
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…
Estimating parameters of nonlinear systems using the elitist particle filter based on evolutionary strategies
Christian Huemmer, Christian Hofmann, Roland Maas +1
In this article, we present the elitist particle filter based on evolutionary strategies (EPFES) as an efficient approach for nonlinear system identification. The EPFES is derived…
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…