XR-based HRTF Measurements

Rudzki T, Murphy D, Kearney G. XR-based HRTF Measurements. In: AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference. Audio Engineering Society; 2022. Paper 27. Available from: https://aes.org/publications/elibrary-page/?id=21857

@inproceedings{Rudzki2022_21857,
  author = {Rudzki, Tomasz and Murphy, Damian and Kearney, Gavin},
  title = {{XR-based HRTF Measurements}},
  booktitle = {AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference},
  note = {Paper 27},
  year = {2022},
  month = aug,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=21857}
}

TY  - CPAPER
TI  - XR-based HRTF Measurements
AU  - Rudzki, Tomasz
AU  - Murphy, Damian
AU  - Kearney, Gavin
T2  - AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference
M1  - Paper 27
PY  - 2022
DA  - 2022/08/06
UR  - https://aes.org/publications/elibrary-page/?id=21857
PB  - Audio Engineering Society
LA  - en
AB  - This paper discusses a Head Related Transfer Function (HRTF) measurement system utilizing a minimal hardware configuration. Thanks to the visual 3D cues displayed by a mixed-reality headset, the subject positions their head in relation to the single loudspeaker following a predefined list of measurement points. During this automated procedure, Head Related Impulse Responses (HRIRs) of the individual are captured at different sound incidence angles. The proposed post-processing of the measured responses is aimed at eliminating the acoustic characteristic of the room where the measurement was taken. A direction-dependent correction filter derived from laboratory measurements is proposed in order to compensate for the influence of the XR headset on HRTFs.
ER  -