4 papers
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…
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…
Active Acoustic Source Tracking Exploiting Particle Filtering and Monte Carlo Tree Search
Thomas Haubner, Alexander Schmidt, Walter Kellermann
In this paper, we address the task of active acoustic source tracking as part of robotic path planning. It denotes the planning of sequences of robotic movements to enhance trackin…