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Conference Paper Open Access

HRTF personalization based on ear morphology

Authors: Warnecke, Michaela; Jamison, Sharon; Prepelita, Sebastian; Calamia, Paul; Ithapu, Vamsi Krishna

AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference · Paper 43 · August 2022

Abstract

On the forefront of realistic spatial audio is the personalization of binaural auditory input. Specifically, personalized head-related transfer functions (HRTFs) have been shown to improve the quality of binaural spatial audio over generic HRTFs. Here, we approached HRTF personalization from a morphological standpoint by calculating the distance between any two three-dimensional models of the ear. Subsequently, a ranking of ears based on the distances provided a similarity estimate. Using measured HRTFs of these ears, we tested how well listeners performed when localizing sounds in virtual space. We show that performance is closest to that of the individual HRTF when listeners used the best-ranked ear’s HRTF and furthest when listeners used the worst-ranked ear’s HRTF.

Details

Published in
AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference
Paper number
43
Publication date
August 6, 2022
Session subject
Paper
Affiliation
Reality Labs Research at Meta, Redmond, WA, USA (See document for exact affiliation information.)
Type
Conference Paper