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C. Pörschmann, JO. M.. Arend, D. Bau, and TI. Lübeck, "Comparison of Spherical Harmonics and Nearest-Neighbor based Interpolation of Head-Related Transfer Functions," Paper 2-4, (2020 August.). doi: C. Pörschmann, JO. M.. Arend, D. Bau, and TI. Lübeck, "Comparison of Spherical Harmonics and Nearest-Neighbor based Interpolation of Head-Related Transfer Functions," Paper 2-4, (2020 August.). doi:
Abstract: 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.

@article{pörschmann2020comparison,
author={pörschmann, christoph and arend, johannes m. and bau, david and lübeck,tim},
journal={journal of the audio engineering society},
title={comparison of spherical harmonics and nearest-neighbor based interpolation of head-related transfer functions},
year={2020},
volume={},
number={},
pages={},
doi={},
month={august},} @article{pörschmann2020comparison,
author={pörschmann, christoph and arend, johannes m. and bau, david and lübeck,tim},
journal={journal of the audio engineering society},
title={comparison of spherical harmonics and nearest-neighbor based interpolation of head-related transfer functions},
year={2020},
volume={},
number={},
pages={},
doi={},
month={august},
abstract={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.},}

TY - paper
TI - Comparison of Spherical Harmonics and Nearest-Neighbor based Interpolation of Head-Related Transfer Functions
SP - EP -
AU - Pörschmann, Christoph
AU - Arend, Johannes M.
AU - Bau, David
AU - Lübeck,Tim
PY - 2020
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - August 2020 TY - paper
TI - Comparison of Spherical Harmonics and Nearest-Neighbor based Interpolation of Head-Related Transfer Functions
SP - EP -
AU - Pörschmann, Christoph
AU - Arend, Johannes M.
AU - Bau, David
AU - Lübeck,Tim
PY - 2020
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - August 2020
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.