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

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

Mechanical Engineering

Research output: Contribution to conference › Paper › peer-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 language	English
State	Published - 2019
Event	2019 AES International Conference on Headphone Technology - San Francisco, United States Duration: Aug 27 2019 → Aug 29 2019

Conference

Conference	2019 AES International Conference on Headphone Technology
Country/Territory	United States
City	San Francisco
Period	8/27/19 → 8/29/19

Bibliographical note

Funding Information:
We thank Bhaveek Desai from University of Florida for his assistance with scanning the head mesh and Dr. Baretto from Florida International University for his help with measuring HRTFs.

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

ASJC Scopus subject areas

Electrical and Electronic Engineering
Acoustics and Ultrasonics

Cite this

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

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.",

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Computation of head-related transfer functions using graphics processing units and a perceptual validation of the computed HRTFs against measured HRTFs. / Fan, Ziqi; Arce, Terek; Lu, Chenshen et al.

2019. Paper presented at 2019 AES International Conference on Headphone Technology, San Francisco, United States.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Computation of head-related transfer functions using graphics processing units and a perceptual validation of the computed HRTFs against measured HRTFs

AU - Fan, Ziqi

AU - Arce, Terek

AU - Lu, Chenshen

AU - Zhang, Kai

AU - Wu, T. W.

AU - McMullen, Kyla

N1 - Funding Information: We thank Bhaveek Desai from University of Florida for his assistance with scanning the head mesh and Dr. Baretto from Florida International University for his help with measuring HRTFs. Publisher Copyright: © 2019 Audio Engineering Society. All rights reserved.

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

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M3 - Paper

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Y2 - 27 August 2019 through 29 August 2019

ER -

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

Abstract

Conference

Bibliographical note

ASJC Scopus subject areas

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