48 citations · 97 across the 15 of their papers we have counts for
8 papers · 1 filter
A Synergistic Kalman- and Deep Postfiltering Approach to Acoustic Echo Cancellation
Thomas Haubner, Mhd. Modar Halimeh, Andreas Brendel +1
We introduce a synergistic approach to double-talk robust acoustic echo cancellation combining adaptive Kalman filtering with a deep neural network-based postfilter. The proposed a…
Misalignment Recognition in Acoustic Sensor Networks using a Semi-supervised Source Estimation Method and Markov Random Fields
Gabriel F Miller, Andreas Brendel, Walter Kellermann +1
In this paper, we consider the problem of acoustic source localization by acoustic sensor networks (ASNs) using a promising, learning-based technique that adapts to the acoustic en…
Accelerating Auxiliary Function-based Independent Vector Analysis
Andreas Brendel, Walter Kellermann
Independent Vector Analysis (IVA) is an effective approach for Blind Source Separation (BSS) of convolutive mixtures of audio signals. As a practical realization of an IVA-based BS…
Online Supervised Acoustic System Identification exploiting Prelearned Local Affine Subspace Models
Thomas Haubner, Andreas Brendel, Walter Kellermann
In this paper we present a novel algorithm for improved block-online supervised acoustic system identification in adverse noise scenarios by exploiting prior knowledge about the sp…
Noise-Robust Adaptation Control for Supervised Acoustic System Identification Exploiting A Noise Dictionary
Thomas Haubner, Andreas Brendel, Mohamed Elminshawi +1
We present a noise-robust adaptation control strategy for block-online supervised acoustic system identification by exploiting a noise dictionary. The proposed algorithm takes adva…
Deep Neural Network based Distance Estimation for Geometry Calibration in Acoustic Sensor Networks
Tobias Gburrek, Joerg Schmalenstroeer, Andreas Brendel +2
We present an approach to deep neural network based (DNN-based) distance estimation in reverberant rooms for supporting geometry calibration tasks in wireless acoustic sensor netwo…
Faster IVA: Update Rules for Independent Vector Analysis based on Negentropy and the Majorize-Minimize Principle
Andreas Brendel, Walter Kellermann
Algorithms for Blind Source Separation (BSS) of acoustic signals require efficient and fast converging optimization strategies to adapt to nonstationary signal statistics and time-…
A Unified Bayesian View on Spatially Informed Source Separation and Extraction based on Independent Vector Analysis
Andreas Brendel, Thomas Haubner, Walter Kellermann
Signal separation and extraction are important tasks for devices recording audio signals in real environments which, aside from the desired sources, often contain several interferi…