M. Warnecke, S. Jamison, S. Prepelita, P. Calamia, and V. K. Ithapu, “HRTF personalization based on ear morphology,” in Proc. AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference, Aug. 2022, Paper 43. [Online]. Available: https://aes.org/publications/elibrary-page/?id=21873
Warnecke M, Jamison S, Prepelita S, Calamia P, Ithapu VK. HRTF personalization based on ear morphology. In: AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference. Audio Engineering Society; 2022. Paper 43. Available from: https://aes.org/publications/elibrary-page/?id=21873
@inproceedings{Warnecke2022_21873,
author = {Warnecke, Michaela and Jamison, Sharon and Prepelita, Sebastian and Calamia, Paul and Ithapu, Vamsi Krishna},
title = {{HRTF personalization based on ear morphology}},
booktitle = {AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference},
note = {Paper 43},
year = {2022},
month = aug,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=21873}
}
TY - CPAPER
TI - HRTF personalization based on ear morphology
AU - Warnecke, Michaela
AU - Jamison, Sharon
AU - Prepelita, Sebastian
AU - Calamia, Paul
AU - Ithapu, Vamsi Krishna
T2 - AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference
M1 - Paper 43
PY - 2022
DA - 2022/08/06
UR - https://aes.org/publications/elibrary-page/?id=21873
PB - Audio Engineering Society
LA - en
AB - 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.
ER -