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

Jiawei Peng, Shenghui Zhao*, Gaoshun Wang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

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).

Original languageEnglish
Title of host publication2023 8th International Conference on Signal and Image Processing, ICSIP 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages554-558
Number of pages5
ISBN (Electronic)9798350397932
DOIs
Publication statusPublished - 2023
Event8th International Conference on Signal and Image Processing, ICSIP 2023 - Wuxi, China
Duration: 8 Jul 202310 Jul 2023

Publication series

Name2023 8th International Conference on Signal and Image Processing, ICSIP 2023

Conference

Conference8th International Conference on Signal and Image Processing, ICSIP 2023
Country/TerritoryChina
CityWuxi
Period8/07/2310/07/23

Keywords

  • joint representation
  • object-based audio
  • scene-based audio
  • source separation

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