T. Qu, J. Xu, Z. Yuan, Wu, and Xihong, “Higher order ambisonics compression method based on autoencoder,” in Proc. AES Convention 153, Oct. 2022, Paper 9. [Online]. Available: https://aes.org/publications/elibrary-page/?id=21943
Qu T, Xu J, Yuan Z, Wu, Xihong. Higher order ambisonics compression method based on autoencoder. In: AES Convention 153. Audio Engineering Society; 2022. Paper 9. Available from: https://aes.org/publications/elibrary-page/?id=21943
@inproceedings{Qu2022_21943,
author = {Qu, Tianshu and Xu, Jiahao and Yuan, Zeyu and {Wu} and {Xihong}},
title = {{Higher order ambisonics compression method based on autoencoder}},
booktitle = {AES Convention 153},
note = {Paper 9},
year = {2022},
month = oct,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=21943}
}
TY - CPAPER
TI - Higher order ambisonics compression method based on autoencoder
AU - Qu, Tianshu
AU - Xu, Jiahao
AU - Yuan, Zeyu
AU - Wu
AU - Xihong
T2 - AES Convention 153
M1 - Paper 9
PY - 2022
DA - 2022/10/06
UR - https://aes.org/publications/elibrary-page/?id=21943
PB - Audio Engineering Society
LA - en
AB - The compression of three-dimensional sound field signals has always been a very important issue. Recently, an Independent Component Analysis (ICA) based Higher Order Ambisonics (HOA) compression method introduces blind source separation to solve the shortcomings of discontinuity between frames in the existing Singular Value Decomposition (SVD) based methods. However, ICA is weak to model the reverberant environment, and its target is not to recover original signal. In this work, we replace ICA with autoencoder to further improve the above method’s ability to cope with reverberation conditions and ensure the unanimous optimization both in separation and recovery by reconstruction loss. We constructed a dataset with simulated and recorded signals, and verified the effectiveness of our method through objective and subjective experiments.
ER -