48 citations · 97 across the 15 of their papers we have counts for
3 papers · 1 filter
Manifold learning-supported estimation of relative transfer functions for spatial filtering
Andreas Brendel, Johannes Zeitler, Walter Kellermann
Many spatial filtering algorithms used for voice capture in, e.g., teleconferencing applications, can benefit from or even rely on knowledge of Relative Transfer Functions (RTFs).…
End-To-End Deep Learning-Based Adaptation Control for Frequency-Domain Adaptive System Identification
Thomas Haubner, Andreas Brendel, Walter Kellermann
We present a novel end-to-end deep learning-based adaptation control algorithm for frequency-domain adaptive system identification. The proposed method exploits a deep neural netwo…
Online Acoustic System Identification Exploiting Kalman Filtering and an Adaptive Impulse Response Subspace Model
Thomas Haubner, Andreas Brendel, Walter Kellermann
We introduce a novel algorithm for online estimation of acoustic impulse responses (AIRs) which allows for fast convergence by exploiting prior knowledge about the fundamental stru…