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.
(See document for exact affiliation information.)
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member Join the AES. If you need to check your member status, login to the Member Portal.
