S. Spors, H. Wierstorf, and J. Ahrens, “Interpolation and Range Extrapolation of Head-Related Transfer Functions Using Virtual Local Wave Field Synthesis,” in Proc. AES Convention 130, May 2011, Paper 8392. [Online]. Available: https://aes.org/publications/elibrary-page/?id=15859
Spors S, Wierstorf H, Ahrens J. Interpolation and Range Extrapolation of Head-Related Transfer Functions Using Virtual Local Wave Field Synthesis. In: AES Convention 130. Audio Engineering Society; 2011. Paper 8392. Available from: https://aes.org/publications/elibrary-page/?id=15859
@inproceedings{Spors2011_15859,
author = {Spors, Sascha and Wierstorf, Hagen and Ahrens, Jens},
title = {{Interpolation and Range Extrapolation of Head-Related Transfer Functions Using Virtual Local Wave Field Synthesis}},
booktitle = {AES Convention 130},
note = {Paper 8392},
year = {2011},
month = may,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=15859}
}
TY - CPAPER
TI - Interpolation and Range Extrapolation of Head-Related Transfer Functions Using Virtual Local Wave Field Synthesis
AU - Spors, Sascha
AU - Wierstorf, Hagen
AU - Ahrens, Jens
T2 - AES Convention 130
M1 - Paper 8392
PY - 2011
DA - 2011/05/06
UR - https://aes.org/publications/elibrary-page/?id=15859
PB - Audio Engineering Society
LA - en
AB - Virtual environments which are based on binaural sound reproduction require datasets of head-related transfer functions (HRTFs). Ideally, these HRTFs are available for every possible position of a virtual sound source. However, in order to reduce measurement efforts, such datasets are typically only available for various source directions but only for one or very few distances. This paper presents a method for extrapolation of measured HRTF datasets from the source distance used in the measurements to other source distances. The method applies the concept of local Wave Field Synthesis to compute extrapolated HRTFs for almost arbitrary source positions with high accuracy. The method is computationally efficient and numerically stable.
ER -