A Robustness Study for Low-Channel-Count Cross-Talk Cancellation Systems

Simon M, Berkeley C, Hamdan E, Fazi FM. A Robustness Study for Low-Channel-Count Cross-Talk Cancellation Systems. In: AES Conference: 2019 AES International Conference on Immersive and Interactive Audio. Audio Engineering Society; 2019. Paper 74. Available from: https://aes.org/publications/elibrary-page/?id=20425

@inproceedings{Simon2019_20425,
  author = {Simon, Marcos and Berkeley, Charles and Hamdan, Eric and Fazi, Filippo Maria},
  title = {{A Robustness Study for Low-Channel-Count Cross-Talk Cancellation Systems}},
  booktitle = {AES Conference: 2019 AES International Conference on Immersive and Interactive Audio},
  note = {Paper 74},
  year = {2019},
  month = mar,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=20425}
}

TY  - CPAPER
TI  - A Robustness Study for Low-Channel-Count Cross-Talk Cancellation Systems
AU  - Simon, Marcos
AU  - Berkeley, Charles
AU  - Hamdan, Eric
AU  - Fazi, Filippo Maria
T2  - AES Conference: 2019 AES International Conference on Immersive and Interactive Audio
M1  - Paper 74
PY  - 2019
DA  - 2019/03/06
UR  - https://aes.org/publications/elibrary-page/?id=20425
PB  - Audio Engineering Society
LA  - en
AB  - Cross-talk cancellation makes the reproduction of binaural audio possible through loudspeakers. This is typically achieved by employing a digital signal processing network that controls the acoustic pressure at the listener’s ears. Although this can be achieved by using only two loudspeakers, there has been a recent tendency of using loudspeaker arrays, which increase the robustness to source errors and reduce room’s response influence. This document presents a numerical study on the trade-off between cross-talk cancellation performance and the number of channels of a loudspeaker array. Special attention is given to the conditioning of the array and how this is affected by inaccuracies in the driver response for different numbers of loudspeakers: 2, 3, 4, 5, and 7.
ER  -