Comparison of Spherical Harmonics and Nearest-Neighbor based Interpolation of Head-Related Transfer Functions

Pörschmann C, Arend JM, Bau D, Lübeck T. Comparison of Spherical Harmonics and Nearest-Neighbor based Interpolation of Head-Related Transfer Functions. In: AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020). Audio Engineering Society; 2020. Paper 2-4. Available from: https://aes.org/publications/elibrary-page/?id=20874

@inproceedings{Porschmann2020_20874,
  author = {Pörschmann, Christoph and Arend, Johannes M. and Bau, David and Lübeck, Tim},
  title = {{Comparison of Spherical Harmonics and Nearest-Neighbor based Interpolation of Head-Related Transfer Functions}},
  booktitle = {AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020)},
  note = {Paper 2-4},
  year = {2020},
  month = aug,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=20874}
}

TY  - CPAPER
TI  - Comparison of Spherical Harmonics and Nearest-Neighbor based Interpolation of Head-Related Transfer Functions
AU  - Pörschmann, Christoph
AU  - Arend, Johannes M.
AU  - Bau, David
AU  - Lübeck,Tim
T2  - AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020)
M1  - Paper 2-4
PY  - 2020
DA  - 2020/08/06
UR  - https://aes.org/publications/elibrary-page/?id=20874
PB  - Audio Engineering Society
LA  - en
AB  - Spatial upsampling of head-related transfer functions (HRTFs) measured on a sparse grid is an important issue, particularly relevant when capturing individual datasets. While early studies mostly used nearest-neighbor approaches, ongoing research focuses on interpolation in the spherical harmonics (SH) domain. The interpolation can either be performed on the complex spectrum or separately on magnitude and unwrapped phase. Furthermore, preprocessing methods can be applied to reduce the spatial complexity of the HRTF dataset before interpolation. We compare different methods for the interpolation of HRTFs and show that SH and nearest-neighbor based approaches perform comparably. While generally a separate interpolation of magnitude and unwrapped phase outperforms an interpolation of the complex spectra, this can be compensated by appropriate preprocessing methods.
ER  -