Adaptive listening room equalization using a scalable filtering structure in the wave domain

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Schneider M, Kellermann W
Publication year: 2012
Pages range: 13-16
ISBN: 978-1-4673-0046-9
Language: English


Abstract


Massive multichannel reproduction systems like wave field synthesis (WFS) are potentially well suited to be complemented by listening room equalization (LRE). However, their typically large number of reproduction channels makes this task challenging for both computational and algorithmic reasons. Wave-domain adaptive filtering (WDAF) was proposed earlier and is especially well-suited to adaptive filtering tasks in the context of WFS. In this paper, we propose to generalize the model originally used for WDAF to allow an adaptive LRE for a broader range of reproduction scenarios, while maintaining the advantages of the original approach. The proposed approach is evaluated for filtering structures of varying complexity along with considering the robustness to varying listener positions. © 2012 IEEE.


FAU Authors / FAU Editors

Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik
Schneider, Martin
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Schneider, M., & Kellermann, W. (2012). Adaptive listening room equalization using a scalable filtering structure in the wave domain. (pp. 13-16). Kyoto, JP.

MLA:
Schneider, Martin, and Walter Kellermann. "Adaptive listening room equalization using a scalable filtering structure in the wave domain." Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Kyoto 2012. 13-16.

BibTeX: 

Last updated on 2018-10-12 at 20:50