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He - Spatial Audio Reproduction with Primary Ambient Extraction

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Spatial Audio Reproduction with Primary Ambient Extraction: summary, description and annotation

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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.;Introduction -- Literature Review on Spatial Audio -- Linear Estimation-Based Primary Ambient Extraction -- Ambient Spectrum Estimation-Based Primary Ambient Extraction -- Time-Shifting-Based Primary Ambient Extraction -- Multiple Source-Based Primary Ambient Extraction -- Conclusions and Future Works.

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The Author(s) 2017
JianJun He Spatial Audio Reproduction with Primary Ambient Extraction SpringerBriefs in Electrical and Computer Engineering 10.1007/978-981-10-1551-9_1
1. Introduction
JianJun He 1
(1)
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore
JianJun He
Email:
Abstract
This chapter gives a brief introduction on the motivation of the work on spatial audio reproduction using a sound scene decomposition technique referred to as primary ambient extraction.
Keywords
Spatial audio reproduction Primary ambient extraction (PAE)
Sound is an inherent part of our everyday lives for information, communication, and interaction. Sound improves the situational awareness by providing feedback for actions and situations that are out of the view of the listener. An advantage of sound is that multiple sound sources can be perceived from any location around the head in the three-dimensional (3D) space []. Last but not least, the ever-growing market of consumer electronics calls for spatial audio reproduction for digital media, such as movies, games, and virtual reality applications (e.g., Oculus Rift), augmented reality applications (e.g., Microsoft HoloLens).
Considering the variety of applications, spatial audio reproduction of digital media (especially the movies and video games) has gained significant popularity over the recent years [], this book aims to achieve a flexible, efficient, and immersive spatial audio reproduction.
Depending on the actual playback system, the challenges in spatial audio reproduction can be broadly categorized into two main types: loudspeaker playback and headphone playback [].
To further improve the quality of the reproduced sound scene, the perception of the sound scenes is considered as a combination of the foreground sound and background sound [], which necessitate the process of extracting primary and ambient components from the mixed signals. This extraction process is usually known as the primary ambient extraction (PAE).
As a spatial audio processing tool [].
Figure ] to create a more natural sound environment.
Fig 11 Block diagram of PAE-based spatial audio reproduction 11 - photo 1
Fig. 1.1
Block diagram of PAE-based spatial audio reproduction
1.1 Organization
This book is organized into seven chapters. Chapter 1 introduces the background and motivation of this work. Chapter concludes this book and points out some meaningful directions for future work.
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Goodwin M, Jot JM (2007) Primary-ambient signal decomposition and vector-based localization for spatial audio coding and enhancement. In: Proceedings of ICASSP, Hawaii, pp 912
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He J, Tan EL, Gan WS (2014) Linear estimation based primary-ambient extraction for stereo audio signals. IEEE/ACM Trans Audio, Speech, Lang Process 22(2):505517
[HGT14]
He J, Gan WS, Tan EL (2014) A study on the frequency-domain primary-ambient extraction for stereo audio signals. In: Proceedings of ICASSP, Florence, Italy, pp. 28922896
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Herre J, Hilpert J, Kuntz A, Plogsties J (2014) MPEG-H audiothe new standard for universal spatial/3D audio coding. J Audio Eng Soc 62(12):821830
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[JPL10]
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