Translation of a Higher-Order Ambisonics Sound Scene by Space Warping

Kentgens M, Jax P. Translation of a Higher-Order Ambisonics Sound Scene by Space Warping. In: AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020). Audio Engineering Society; 2020. Paper 2-3. Available from: https://aes.org/publications/elibrary-page/?id=20873

@inproceedings{Kentgens2020_20873,
  author = {Kentgens, Maximilian and Jax, Peter},
  title = {{Translation of a Higher-Order Ambisonics Sound Scene by Space Warping}},
  booktitle = {AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020)},
  note = {Paper 2-3},
  year = {2020},
  month = aug,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=20873}
}

TY  - CPAPER
TI  - Translation of a Higher-Order Ambisonics Sound Scene by Space Warping
AU  - Kentgens, Maximilian
AU  - Jax, Peter
T2  - AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020)
M1  - Paper 2-3
PY  - 2020
DA  - 2020/08/06
UR  - https://aes.org/publications/elibrary-page/?id=20873
PB  - Audio Engineering Society
LA  - en
AB  - We propose a novel approach for sound field translation of higher-order Ambisonics with applications in spatial audio and virtual reality. Our proposition is based on space warping allowing to change the origin of a sound field representation even for displacements beyond the sweet spot. The basic idea is to squeeze and stretch the angular source distribution according to a geometric model with known source distance. We propose to resign from correct phase reconstruction in favor of optimizing towards psychoacoustically motivated performance indicators. Furthermore, we show how an existing sound field method can be related to the empiric mathematical framework of space warping. In an experiment with different translation techniques, our approach achieves superior performance in terms of different instrumental metrics.
ER  -