Fast generation of personalized head-related transfer functions is essential for rendering spatial audio. In this paper we propose to generate head-related transfer functions using a single graphics processing unit (GPU). We optimize the implementation of the conventional boundary element solver on a GPU. The simulation of a single frequency can be completed in seconds. A psychoacoustic experiment is conducted to study the perceptual performance of the computed HRTFs. In general, perceptual accuracy in the back is better than that in the front.
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Computation of Head-Related Transfer Functions Using Graphics Processing Units and a Pereptual Validation of the Computed HRTFs against Measured HRTFs
Fast generation of personalized head-related transfer functions is essential for rendering spatial audio. In this paper we propose to generate head-related transfer functions using a single graphics processing unit (GPU). We optimize the implementation of the conventional boundary element solver on a GPU. The simulation of a single frequency can be completed in seconds. A psychoacoustic experiment is conducted to study the perceptual performance of the computed HRTFs. In general, perceptual accuracy in the back is better than that in the front.
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- Award ID(s):
- 1718085
- NSF-PAR ID:
- 10123823
- Date Published:
- Journal Name:
- 2019 Audio Engineering Society Conference on Headphone Technology
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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