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Titlebook: Spatial Audio Reproduction with Primary Ambient Extraction; JianJun He Book 2017 The Author(s) 2017 3D Audio.Immersive Audio.Sound Scene D

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发表于 2025-3-21 17:56:53 | 显示全部楼层 |阅读模式
书目名称Spatial Audio Reproduction with Primary Ambient Extraction
编辑JianJun He
视频video
概述Reviews exhaustively the key recent research into spatial audio reproduction systems.Includes experimental results, together with some representative audio examples and MATLAB codes of the key algorit
丛书名称SpringerBriefs in Electrical and Computer Engineering
图书封面Titlebook: Spatial Audio Reproduction with Primary Ambient Extraction;  JianJun He Book 2017 The Author(s) 2017 3D Audio.Immersive Audio.Sound Scene D
描述.This book first introduces the background of spatial audio reproduction, with different types of audio content and for different types of playback systems. A literature study on the classical and emerging Primary Ambient Extraction (PAE) techniques is presented. The emerging techniques aim to improve the extraction performance and also enhance the robustness of PAE approaches in dealing with more complex signals encountered in practice. The in-depth theoretical study helps readers to understand the rationales behind these approaches. Extensive objective and subjective experiments validate the feasibility of applying PAE in spatial audio reproduction systems. These experimental results, together with some representative audio examples and MATLAB codes of the key algorithms, illustrate clearly the differences among various approaches and also help readers gain insights on selecting different approaches for different applications..
出版日期Book 2017
关键词3D Audio; Immersive Audio; Sound Scene Decomposition; Acoustic Signal Processing; Primary Ambient Extrac
版次1
doihttps://doi.org/10.1007/978-981-10-1551-9
isbn_softcover978-981-10-1550-2
isbn_ebook978-981-10-1551-9Series ISSN 2191-8112 Series E-ISSN 2191-8120
issn_series 2191-8112
copyrightThe Author(s) 2017
The information of publication is updating

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发表于 2025-3-21 23:16:13 | 显示全部楼层
Linear Estimation-Based Primary Ambient Extraction,, these mixed signals are usually decomposed into primary and ambient components to facilitate flexible spatial rendering and enhancement. Existing approaches such as principal component analysis (PCA) and least squares (LS) are widely used to perform this decomposition from stereo signals. However,
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Multiple Source-Based Primary Ambient Extraction,ented in PAE to deal with such signals. The effect of subband decomposition on PAE is investigated. The results indicate that the partitioning of the frequency bins is very critical in PAE, and the proposed top-down (TD) adaptive partitioning method achieves superior performance, as compared to the
发表于 2025-3-22 16:52:05 | 显示全部楼层
Conclusions and Future Works,f applying PAE in spatial audio reproduction. With these advanced PAE approaches readily applied, the listeners can thus immerse himself/herself in the reproduced sound scenes, without the limitation on the audio contents or playback systems. Future work on PAE is also discussed in this chapter.
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2191-8112 sentative audio examples and MATLAB codes of the key algorit.This book first introduces the background of spatial audio reproduction, with different types of audio content and for different types of playback systems. A literature study on the classical and emerging Primary Ambient Extraction (PAE) t
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