Pre- and Post-Processing of Ambisonics Signals for Legacy Audio Codecs

Namazi M, Hirvonen T, Bharitkar S, Souza Blanes E. Pre- and Post-Processing of Ambisonics Signals for Legacy Audio Codecs. In: Express Paper. Audio Engineering Society; 2024. Paper 195. Available from: https://aes.org/publications/elibrary-page/?id=22541

@inproceedings{Namazi2024_22541,
  author = {Namazi, Mahmoud and Hirvonen, Toni and Bharitkar, Sunil and Souza Blanes, Ema},
  title = {{Pre- and Post-Processing of Ambisonics Signals for Legacy Audio Codecs}},
  note = {Paper 195},
  year = {2024},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=22541}
}

TY  - CPAPER
TI  - Pre- and Post-Processing of Ambisonics Signals for Legacy Audio Codecs
AU  - Namazi, Mahmoud
AU  - Hirvonen, Toni
AU  - Bharitkar, Sunil
AU  - Souza Blanes, Ema
M1  - Paper 195
PY  - 2024
DA  - 2024/06/06
UR  - https://aes.org/publications/elibrary-page/?id=22541
PB  - Audio Engineering Society
LA  - en
AB  - This work presents three variants on a core algorithm, to be used in conjunction with mono-channel legacy codecs, for the compression of Higher Order Ambisonics signals. The presented methods use spatial decorrelation and energy-compacting transforms, combined with energy-based bit allocation for decorrelated channels, in order to enhance performance. Depending on the variant, windowing may be applied to smoothen frame transition regions. Results show that the proposed methods outperform Opus Channel Family Mapping 3 and are capable of good perceptual quality (MUSHRA > 80) at bitrates as low as 160 kb/s.
ER  -