5 papers
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…
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…
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…
Spatially Informed Independent Vector Analysis
Andreas Brendel, Thomas Haubner, Walter Kellermann
We present a Maximum A Posteriori (MAP) derivation of the Independent Vector Analysis (IVA) algorithm, a blind source separation algorithm, by incorporating a prior over the demixi…