Computation of head-related transfer functions using graphics processing units and a perceptual validation of the computed HRTFs against measured HRTFs

Ziqi Fan, Terek Arce, Chenshen Lu, Kai Zhang, T. W. Wu, Kyla McMullen

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

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 psycho-acoustic 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.

Original languageEnglish
StatePublished - 2019
Event2019 AES International Conference on Headphone Technology - San Francisco, United States
Duration: Aug 27 2019Aug 29 2019

Conference

Conference2019 AES International Conference on Headphone Technology
Country/TerritoryUnited States
CitySan Francisco
Period8/27/198/29/19

Bibliographical note

Publisher Copyright:
© 2019 Audio Engineering Society. All rights reserved.

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics

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