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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 2020 · eess.ASShow all

6 papers · 2 filters

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.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…

eess.AS2020

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…