M. Geronazzo, J. Kleimola, E. Sikström, A. de Götzen, S. Serafin, and F. Avanzini, “HOBA-VR: HRTF On Demand for Binaural Audio in Immersive Virtual Reality Environments,” in Proc. AES Convention 144, May 2018, Paper 433. [Online]. Available: https://aes.org/publications/elibrary-page/?id=19546
Geronazzo M, Kleimola J, Sikström E, de Götzen A, Serafin S, Avanzini F. HOBA-VR: HRTF On Demand for Binaural Audio in Immersive Virtual Reality Environments. In: AES Convention 144. Audio Engineering Society; 2018. Paper 433. Available from: https://aes.org/publications/elibrary-page/?id=19546
@inproceedings{Geronazzo2018_19546,
author = {Geronazzo, Michele and Kleimola, Jari and Sikström, Erik and de Götzen, Amalia and Serafin, Stefania and Avanzini, Federico},
title = {{HOBA-VR: HRTF On Demand for Binaural Audio in Immersive Virtual Reality Environments}},
booktitle = {AES Convention 144},
note = {Paper 433},
year = {2018},
month = may,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=19546}
}
TY - CPAPER
TI - HOBA-VR: HRTF On Demand for Binaural Audio in Immersive Virtual Reality Environments
AU - Geronazzo, Michele
AU - Kleimola, Jari
AU - Sikström, Erik
AU - de Götzen, Amalia
AU - Serafin, Stefania
AU - Avanzini, Federico
T2 - AES Convention 144
M1 - Paper 433
PY - 2018
DA - 2018/05/06
UR - https://aes.org/publications/elibrary-page/?id=19546
PB - Audio Engineering Society
LA - en
AB - One of the main challenges of spatial audio rendering in headphones is the personalization of the so-called head-related transfer functions (HRTFs). HRTFs capture the listener’s acoustic effects supporting immersive and realistic virtual reality (VR) contexts. This e-brief presents the HOBA-VR framework that provides a full-body VR experience with personalized HRTFs that were individually selected on demand based on anthropometric data (pinnae shapes). The proposed WAVH transfer format allows a flexible management of this customization process. A screening test aiming to evaluate user localization performance with selected HRTFs for a non-visible spatialized audio source is also provided. Accordingly, is might be possible to create a user profile that contains also individual non-acoustic factors such as localizability, satisfaction, and confidence.
ER -