Higher order ambisonics compression method based on independent component analysis

Xu J, Niu Y, Wu X, Qu T. Higher order ambisonics compression method based on independent component analysis. In: AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020). Audio Engineering Society; 2020. Paper 10456. Available from: https://aes.org/publications/elibrary-page/?id=21133

@inproceedings{Xu2020_21133,
  author = {Xu, Jiahao and Niu, Yadong and Wu, Xihong and Qu, Tianshu},
  title = {{Higher order ambisonics compression method based on independent component analysis}},
  booktitle = {AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020)},
  note = {Paper 10456},
  year = {2020},
  month = aug,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=21133}
}

TY  - CPAPER
TI  - Higher order ambisonics compression method based on independent component analysis
AU  - Xu, Jiahao
AU  - Niu, Yadong
AU  - Wu, Xihong
AU  - Qu, Tianshu
T2  - AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020)
M1  - Paper 10456
PY  - 2020
DA  - 2020/08/06
UR  - https://aes.org/publications/elibrary-page/?id=21133
PB  - Audio Engineering Society
LA  - en
AB  - Recently the development of multimedia applications requires a flexible method to represent spatial sound, and higher order ambisonics (HOA) draws more and more attention due to its flexibility between the recording and playback end. To reduce the cost for storage and transmission, some compression methods were developed. However, they result in discontinuity between frames. Here we propose a framework in which independent component analysis (ICA) is used to extract foreground components from HOA signal. We achieve smooth transition by utilizing un-mixing matrices from previous frames. A complete compression system was constructed and a dataset with simulated and recorded signals was built. Subjective experiments provided evidence for the effectiveness of proposed method.
ER  -