Binaural Externalization Processing - from Stereo to Object-Based Audio

Jot JM, Lukin A, Landschoot C. Binaural Externalization Processing - from Stereo to Object-Based Audio. In: AES Convention 153. Audio Engineering Society; 2022. Paper 56. Available from: https://aes.org/publications/elibrary-page/?id=21939

@inproceedings{Jot2022_21939,
  author = {Jot, Jean-Marc and Lukin, Alexey and Landschoot, Christopher},
  title = {{Binaural Externalization Processing - from Stereo to Object-Based Audio}},
  booktitle = {AES Convention 153},
  note = {Paper 56},
  year = {2022},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=21939}
}

TY  - CPAPER
TI  - Binaural Externalization Processing - from Stereo to Object-Based Audio
AU  - Jot, Jean-Marc
AU  - Lukin, Alexey
AU  - Landschoot, Christopher
T2  - AES Convention 153
M1  - Paper 56
PY  - 2022
DA  - 2022/10/06
UR  - https://aes.org/publications/elibrary-page/?id=21939
PB  - Audio Engineering Society
LA  - en
AB  - In both entertainment and professional applications, conventionally produced stereo or multi-channel audio content is frequently delivered over headphones or earbuds. Use cases involving object-based binaural audio rendering include recently developed immersive multi-channel audio distribution formats, along with the accelerating deployment of virtual or augmented reality applications and head-mounted displays. The appreciation of these listening experiences by end users may be compromised by an unnatural perception of the localization of frontal audio objects: commonly heard near or inside the listener’s head even when their specified position is distant. This artifact may persist despite the provision of perceptual cues that have been known to partially mitigate it, including artificial acoustic reflections or reverberation, head-tracking, individualized HRTF processing, or reinforcing visual information. In this paper, we review previously reported methods for binaural au-dio externalization processing, and generalize a recently proposed approach to address object-based audio rendering.
ER  -