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.

Authors: Qu, Tianshu; Xu, Jiahao; Yuan, Zeyu; Wu; Xihong
Affiliations: Peking University, Beijing, China; Peking University, Beijing, China; Peking University, Beijing, China; Peking University, Beijing, China(See document for exact affiliation information.)
Express Paper 9; AES Convention 153; October 2022
Publication Date: October 19, 2022 Import into BibTeX
Subject: Applications in Audio
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=21943

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