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
ISBN: 9783800734559
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84947910354∨igin=inward
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.
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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