activity
20132023
most citedThe LOCATA Challenge: Acoustic Source Localization and Tracking

148 citations · 497 across the 45 of their papers we have counts for

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Showing 2020Show all

9 papers · 1 filter

eess.AS2020★ 17 cited

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…

eess.AS2020

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…

eess.AS2020

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…

eess.SP2020

Extrapolation of Bandlimited Multidimensional Signals from Continuous Measurements

Cornelius Frankenbach, Pablo Martínez-Nuevo, Martin Møller +1

Conventional sampling and interpolation commonly rely on discrete measurements. In this paper, we develop a theoretical framework for extrapolation of signals in higher dimensions…

eess.AS2020

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…

eess.AS2020

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…