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

Schneider M, Schuh F, Kellermann W (2012)


Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2012

Publisher: VDE

Pages Range: 1-4

Article Number: 6309574

Event location: Braunschweig DE

ISBN: 9783800734559

URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84947910354∨igin=inward

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.

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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. In Proceedings of the ITG Symposium on Speech Communication (pp. 1-4). Braunschweig, DE: VDE.

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 VDE, 2012. 1-4.

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