A Source Separation Approach for the Combined SBA Signals in the Joint Representation of OBA and SBA

Jiawei Peng, Shenghui Zhao*, Gaoshun Wang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

There are three methods to implement spatial audio, which include channel-based, object-based and scene-based formats. In fact, utilizing a combination of multiple audio formats specific to certain scenes can heighten the level of personalization and immersion for the audience. Specifically, the joint representation of object-based audio and scene-based audio plays a crucial role in spatial audio. However, a significant challenge lies in the fact that the scene-based audio stems from simultaneous scene recording and thus includes all object-based audio components. To tackle this issue, this paper proposes a source separation approach to distinguish the scene-based audio component from the combined signal. This approach operates on the premise that each audio source is independent from the others and can deal with both stationary and moving audio objects. The experimental results show that the approach can effectively separate the scene-based audio component from the combined signal in first-order Ambisonics signals (FOA) or higher-order Ambisonics signals (HOA).

源语言英语
主期刊名2023 8th International Conference on Signal and Image Processing, ICSIP 2023
出版商Institute of Electrical and Electronics Engineers Inc.
554-558
页数5
ISBN(电子版)9798350397932
DOI
出版状态已出版 - 2023
活动8th International Conference on Signal and Image Processing, ICSIP 2023 - Wuxi, 中国
期限: 8 7月 202310 7月 2023

出版系列

姓名2023 8th International Conference on Signal and Image Processing, ICSIP 2023

会议

会议8th International Conference on Signal and Image Processing, ICSIP 2023
国家/地区中国
Wuxi
时期8/07/2310/07/23

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