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Express Paper

Higher order ambisonics compression method based on autoencoder

Authors: Qu, Tianshu; Xu, Jiahao; Yuan, Zeyu; Wu; Xihong

AES Convention 153 · Paper 9 · October 2022

Abstract

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.

Details

Published in
AES Convention 153
AES Convention
153
Paper number
9
Publication date
October 6, 2022
Session subject
Applications in Audio
Affiliation
Peking University, Beijing, China; Peking University, Beijing, China; Peking University, Beijing, China; Peking University, Beijing, China (See document for exact affiliation information.)
Type
Express Paper