Localization of virtual sounds in dynamic listening using sparse HRTFs

Zamir Ben-Hur; David Lou Alon; Philip W. Robinson; Ravish Mehra

Localization of virtual sounds in dynamic listening using sparse HRTFs

Zamir Ben-Hur, David Lou Alon, Philip W. Robinson, Ravish Mehra

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

13 Scopus citations

Abstract

Reproduction of virtual sound sources that are perceptually indistinguishable from real-world sounds is impossible without accurate representation of the virtual sound source location. A key component in such a reproduction system is the Head-Related Transfer Function (HRTF), which is different for every individual. In this study, we introduce an experimental setup for accurate evaluation of the localization performance using a spatial sound reproduction system in dynamic listening conditions. The setup offers the possibility of comparing the evaluation results with real-world localization performance, and facilitates testing of different virtual reproduction conditions, such as different HRTFs or different representations and interpolation methods of the HRTFs. Localization experiments are conducted, comparing real-world sound sources with virtual sound sources using high-resolution individual HRTFs, sparse individual HRTFs and a generic HRTF.

Original language	English
State	Published - 1 Jan 2020
Externally published	Yes
Event	2020 AES International Conference on Audio for Virtual and Augmented Reality, AVAR 2020 - Virtual, Online Duration: 17 Aug 2020 → 19 Aug 2020

Conference

Conference	2020 AES International Conference on Audio for Virtual and Augmented Reality, AVAR 2020
City	Virtual, Online
Period	17/08/20 → 19/08/20

ASJC Scopus subject areas

Electrical and Electronic Engineering
Acoustics and Ultrasonics

Cite this

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title = "Localization of virtual sounds in dynamic listening using sparse HRTFs",

abstract = "Reproduction of virtual sound sources that are perceptually indistinguishable from real-world sounds is impossible without accurate representation of the virtual sound source location. A key component in such a reproduction system is the Head-Related Transfer Function (HRTF), which is different for every individual. In this study, we introduce an experimental setup for accurate evaluation of the localization performance using a spatial sound reproduction system in dynamic listening conditions. The setup offers the possibility of comparing the evaluation results with real-world localization performance, and facilitates testing of different virtual reproduction conditions, such as different HRTFs or different representations and interpolation methods of the HRTFs. Localization experiments are conducted, comparing real-world sound sources with virtual sound sources using high-resolution individual HRTFs, sparse individual HRTFs and a generic HRTF.",

author = "Zamir Ben-Hur and Alon, {David Lou} and Robinson, {Philip W.} and Ravish Mehra",

note = "Publisher Copyright: {\textcopyright} 2020 Audio Engineering Society. All rights reserved.; 2020 AES International Conference on Audio for Virtual and Augmented Reality, AVAR 2020 ; Conference date: 17-08-2020 Through 19-08-2020",

year = "2020",

month = jan,

day = "1",

language = "English",

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TY - CONF

T1 - Localization of virtual sounds in dynamic listening using sparse HRTFs

AU - Ben-Hur, Zamir

AU - Alon, David Lou

AU - Robinson, Philip W.

AU - Mehra, Ravish

PY - 2020/1/1

Y1 - 2020/1/1

N2 - Reproduction of virtual sound sources that are perceptually indistinguishable from real-world sounds is impossible without accurate representation of the virtual sound source location. A key component in such a reproduction system is the Head-Related Transfer Function (HRTF), which is different for every individual. In this study, we introduce an experimental setup for accurate evaluation of the localization performance using a spatial sound reproduction system in dynamic listening conditions. The setup offers the possibility of comparing the evaluation results with real-world localization performance, and facilitates testing of different virtual reproduction conditions, such as different HRTFs or different representations and interpolation methods of the HRTFs. Localization experiments are conducted, comparing real-world sound sources with virtual sound sources using high-resolution individual HRTFs, sparse individual HRTFs and a generic HRTF.

AB - Reproduction of virtual sound sources that are perceptually indistinguishable from real-world sounds is impossible without accurate representation of the virtual sound source location. A key component in such a reproduction system is the Head-Related Transfer Function (HRTF), which is different for every individual. In this study, we introduce an experimental setup for accurate evaluation of the localization performance using a spatial sound reproduction system in dynamic listening conditions. The setup offers the possibility of comparing the evaluation results with real-world localization performance, and facilitates testing of different virtual reproduction conditions, such as different HRTFs or different representations and interpolation methods of the HRTFs. Localization experiments are conducted, comparing real-world sound sources with virtual sound sources using high-resolution individual HRTFs, sparse individual HRTFs and a generic HRTF.

UR - http://www.scopus.com/inward/record.url?scp=85094141901&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:85094141901

T2 - 2020 AES International Conference on Audio for Virtual and Augmented Reality, AVAR 2020

Y2 - 17 August 2020 through 19 August 2020

ER -

Localization of virtual sounds in dynamic listening using sparse HRTFs

Abstract

Conference

ASJC Scopus subject areas

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