148 citations · 497 across the 45 of their papers we have counts for
4 papers · 1 filter
The NLMS algorithm with time-variant optimum stepsize derived from a Bayesian network perspective
Christian Huemmer, Roland Maas, Walter Kellermann
In this article, we derive a new stepsize adaptation for the normalized least mean square algorithm (NLMS) by describing the task of linear acoustic echo cancellation from a Bayesi…
Phase-Optimized K-SVD for Signal Extraction from Underdetermined Multichannel Sparse Mixtures
Antoine Deleforge, Walter Kellermann
We propose a novel sparse representation for heavily underdetermined multichannel sound mixtures, i.e., with much more sources than microphones. The proposed approach operates in t…
Spatial Diffuseness Features for DNN-Based Speech Recognition in Noisy and Reverberant Environments
Andreas Schwarz, Christian Huemmer, Roland Maas +1
We propose a spatial diffuseness feature for deep neural network (DNN)-based automatic speech recognition to improve recognition accuracy in reverberant and noisy environments. The…
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…