Schneider M, Kellermann W (2016)
Publication Language: English
Publication Status: Published
Publication Type: Journal article, Original article
Publication year: 2016
Book Volume: 24
Pages Range: 518-529
Article Number: 7373562
Journal Issue: 3
DOI: 10.1109/TASLP.2016.2515502
Acoustic echo cancellation (AEC) is significantly more challenging in the case of multichannel reproduction compared to the single-channel case. This is mainly due to the socalled nonuniqueness problem, which becomes especially severe for massive multichannel reproduction systems like, e.g., wave field synthesis systems or higher-order ambisonics, where the different loudspeaker signals are often strongly correlated. In this paper, a multichannel wave-domain AEC structure is proposed that maintains robustness without altering the loudspeaker signals, as is commonly required to preserve the reproduction quality. The proposed method exploits the dominance of certain couplings in the wave-domain representation of the loudspeaker-enclosuremicrophone system. In this representation, preferring a strong weight of the dominant couplings in the identified system improves the system identification performance. A modification of the wellknown generalized frequency-domain adaptive filtering algorithm is then presented to implement the proposed approach, including a self-contained description of all necessary components. An experimental evaluation compares the proposed method to competing approaches and shows that the proposed method compares well in terms of convergence behavior while avoiding the performance degradation, which is intrinsic to other approaches.
APA:
Schneider, M., & Kellermann, W. (2016). Multichannel acoustic echo cancellation in the wave domain with increased robustness to nonuniqueness. IEEE/ACM Transactions on Audio, Speech and Language Processing, 24(3), 518-529. https://dx.doi.org/10.1109/TASLP.2016.2515502
MLA:
Schneider, Martin, and Walter Kellermann. "Multichannel acoustic echo cancellation in the wave domain with increased robustness to nonuniqueness." IEEE/ACM Transactions on Audio, Speech and Language Processing 24.3 (2016): 518-529.
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