Multichannel Acoustic Echo Cancellation for Ambisonics-based Immersive Distributed Performances

Nophut M, Hupke R, Preihs S, Peissig J. Multichannel Acoustic Echo Cancellation for Ambisonics-based Immersive Distributed Performances. In: AES Convention 148. Audio Engineering Society; 2020. Paper 10381. Available from: https://aes.org/publications/elibrary-page/?id=20798

@inproceedings{Nophut2020_20798,
  author = {Nophut, Marcel and Hupke, Robert and Preihs, Stephan and Peissig, Juergen},
  title = {{Multichannel Acoustic Echo Cancellation for Ambisonics-based Immersive Distributed Performances}},
  booktitle = {AES Convention 148},
  note = {Paper 10381},
  year = {2020},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=20798}
}

TY  - CPAPER
TI  - Multichannel Acoustic Echo Cancellation for Ambisonics-based Immersive Distributed Performances
AU  - Nophut, Marcel
AU  - Hupke, Robert
AU  - Preihs, Stephan
AU  - Peissig, Juergen
T2  - AES Convention 148
M1  - Paper 10381
PY  - 2020
DA  - 2020/05/06
UR  - https://aes.org/publications/elibrary-page/?id=20798
PB  - Audio Engineering Society
LA  - en
AB  - Distributed performances of musicians at distant locations are recently enjoying increasing interest due to the availability of larger bandwidths in network and mobile communication. Modern spatial audio capturing and multichannel reproduction techniques could make these performances an immersive and more realistic experience. But a bidirectional acoustic coupling of rooms introduces disturbing echo loops, which calls for Acoustic Echo Cancellation (AEC) methods. This contribution investigates the Frequency Domain Adaptive Kalman Filter, a state-of-the-art AEC algorithm, in a novel and practical context of a distributed music performance including an Ambisonics audio rendering. In particular, the possibility of using ambisonic channels as reference signals for the echo canceling algorithm is investigated, which allows a significant reduction of the algorithm’s computational load.
ER  -