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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 (s): Ben-Hur, Zamir; Alon, David; Robinson, Philip W.; Mehra, Ravish
Affiliation:
Facebook Reality Labs, Facebook
(See document for exact affiliation information.)
Publication Date:
2020-08-06
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Permalink: https://aes2.org/publications/elibrary-page/?id=20864
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Ben-Hur, Zamir; Alon, David; Robinson, Philip W.; Mehra, Ravish; 2020; Localization of Virtual Sounds in Dynamic Listening Using Sparse HRTFs [PDF]; Facebook Reality Labs, Facebook; Paper 1-1; Available from: https://aes2.org/publications/elibrary-page/?id=20864
Ben-Hur, Zamir; Alon, David; Robinson, Philip W.; Mehra, Ravish; Localization of Virtual Sounds in Dynamic Listening Using Sparse HRTFs [PDF]; Facebook Reality Labs, Facebook; Paper 1-1; 2020 Available: https://aes2.org/publications/elibrary-page/?id=20864
@article{ben-hur2020localization,
author={ben-hur zamir and alon david and robinson philip w. and mehra ravish},
journal={journal of the audio engineering society},
title={localization of virtual sounds in dynamic listening using sparse hrtfs},
year={2020},
number={1-1},
month={august},}