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Conference Paper Open Access

Localization of Virtual Sounds in Dynamic Listening Using Sparse HRTFs

Authors: Ben-Hur, Zamir; Alon, David; Robinson, Philip W.; Mehra, Ravish

AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020) · Paper 1-1 · August 2020

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.

Details

Published in
AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020)
Paper number
1-1
Publication date
August 6, 2020
Affiliation
Facebook Reality Labs, Facebook (See document for exact affiliation information.)
Type
Conference Paper