Acoustic Echo Cancellation for surround sound using perceptually motivated convergence enhancement

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Herre J, Buchner H, Kellermann W
Publication year: 2007
Volume: 1
ISBN: 1-4244-0727-3
ISSN: 1520-6149
Language: English


Abstract


Acoustic Echo Cancellation (AEC) has become an essential and wellknown enabling technology for hands-free communication and human-machine interfaces. AEC for two or more reproduction channels aims at identifying the echo paths between the microphone and each audio reproduction source in order to cancel the associated echo contribution. A number of preprocessing methods have been proposed to decorrelate stereo audio signals in order to enable an unambiguous identification of each echo path and to thus ensure robustness to changing sound source locations. While several of these methods provide enough decorrelation to achieve proper AEC convergence in the stereo case, considerations of subjective sound quality have frequently not been addressed adequately. This paper compares the performance of several methods in terms of both convergence speed and aspects of sound perception, and proposes a novel signal decorrelation approach with attractive properties. The superior performance of the proposed method is demonstrated for 5.1 surround sound reproduction. © 2007 IEEE.


FAU Authors / FAU Editors

Herre, Jürgen Prof. Dr.-Ing.
Lehrstuhl für Audiocodierung (AudioLabs) (Stiftungslehrstuhl)
Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik


How to cite

APA:
Herre, J., Buchner, H., & Kellermann, W. (2007). Acoustic Echo Cancellation for surround sound using perceptually motivated convergence enhancement. In Proceedings of the 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07. Honolulu, HI, US.

MLA:
Herre, Jürgen, Herbert Buchner, and Walter Kellermann. "Acoustic Echo Cancellation for surround sound using perceptually motivated convergence enhancement." Proceedings of the 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, Honolulu, HI 2007.

BibTeX: 

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