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.

Authors: Fan, Ziqi; Arce, Terek; Lu, Chenshen; Zhang, Kai; Wu, T. W.; McMullen, Kyla
Affiliations: University of Florida, Gainesville, FL, USA; University of Kentucky, Lexington, KY, USA(See document for exact affiliation information.)
AES Conference: 2019 AES International Conference on Headphone Technology (August 2019)
Paper Number: 31
Publication Date: August 21, 2019

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