Desiraju, Naveen Kumar and Doclo, Simon and Wolff, Tobias (2017) Efficient multichannel acoustic echo cancellation using constrained tap selection schemes in the subband domain. EURASIP journal on advances in signal processing, 2017 (1). ISSN 1687-6180

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Abstract

Acoustic echo cancellation (AEC) is a key speech enhancement technology in speech communication and voice-enabled devices. AEC systems employ adaptive filters to estimate the acoustic echo paths between the loudspeakers and the microphone(s). In applications involving surround sound, the computational complexity of an AEC system may become demanding due to the multiple loudspeaker channels and the necessity of using long filters in reverberant environments. In order to reduce the computational complexity, the approach of partially updating the AEC filters is considered in this paper. In particular, we investigate tap selection schemes which exploit the sparsity present in the loudspeaker channels for partially updating subband AEC filters. The potential for exploiting signal sparsity across three dimensions, namely time, frequency, and channels, is analyzed. A thorough analysis of different state-of-the-art tap selection schemes is performed and insights about their limitations are gained. A novel tap selection scheme is proposed which overcomes these limitations by exploiting signal sparsity while not ignoring any filters for update in the different subbands and channels. Extensive simulation results using both artificial as well as real-world multichannel signals show that the proposed tap selection scheme outperforms state-of-the-art tap selection schemes in terms of echo cancellation performance. In addition, it yields almost identical echo cancellation performance as compared to updating all filter taps at a significantly reduced computational cost.

Item Type: Article
Additional Information: Publiziert mit Hilfe des DFG-geförderten Open Access-Publikationsfonds der Carl von Ossietzky Universität Oldenburg.
Uncontrolled Keywords: Acoustic echo cancellation, Multichannel, Subband domain, Adaptive filters, Partial filter updates, Tap selection, Signal sparsity, Computational complexity
Subjects: Science and mathematics > Physics
Divisions: Faculty of Medicine and Health Sciences > Department of Medical Physics and Acoustics
Date Deposited: 10 Oct 2017 08:16
Last Modified: 12 Oct 2017 10:59
URI: https://oops.uni-oldenburg.de/id/eprint/3368
URN: urn:nbn:de:gbv:715-oops-34492
DOI: 10.1186/s13634-017-0497-5
Nutzungslizenz:

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