The generalized frequency-domain adaptive filtering algorithm implemented on a GPU for large-scale multichannel acoustic echo cancellation

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Schneider M, Schuh F, Kellermann W
Publication year: 2012
Pages range: 1-4
ISBN: 9783800734559
Language: English


Abstract


For multichannel reproduction systems a trend towards increasing numbers of reproduction channels can be observed. For the use of such systems in communication scenarios, acoustic echo cancellation (AEC) is necessary, whose computational complexity scales at least linearly with the number of reproduction channels and implies a tremendous computational effort. Powerful graphics processing units (GPUs) appear to be a suitable implementation platform for such a scenario. However, inexpensive consumer-market GPUs are not designed for real-time adaptive audio processing with low-latency. In this paper we present an implementation of the Generalized Frequency-Domain Adaptive Filtering (GFDAF) algorithm on popular GPUs. Details on the parallelization of the algorithm are given and the performance of the implementation is evaluated for single precision and for double precision computations.


FAU Authors / FAU Editors

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


How to cite

APA:
Schneider, M., Schuh, F., & Kellermann, W. (2012). The generalized frequency-domain adaptive filtering algorithm implemented on a GPU for large-scale multichannel acoustic echo cancellation. (pp. 1-4). Braunschweig, DE.

MLA:
Schneider, Martin, Fabian Schuh, and Walter Kellermann. "The generalized frequency-domain adaptive filtering algorithm implemented on a GPU for large-scale multichannel acoustic echo cancellation." Proceedings of the ITG Symposium on Speech Communication, Braunschweig 2012. 1-4.

BibTeX: 

Last updated on 2018-17-10 at 10:23