Spatial Audio Reproduction with Primary Ambient Extraction

Beschreibung

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.
     
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 algorithms Provides readers with insights on selecting different approaches for different applications in spatial audio reproduction Includes supplementary material: sn.pub/extras

Autor*in

JianJun He

Themen in »Spatial Audio Reproduction with Primary Ambient Extraction«

3D Audio Immersive Audio Sound Scene Decomposition Acoustic Signal Processing Primary Ambient Extraction (PAE) algorithm analysis and problem complexity

Stimmen zu »Spatial Audio Reproduction with Primary Ambient Extraction«

“I found the book to be an excellent primer and reference on the title subject. … I recommend Spatial Audio Reproduction with Primary Ambient Extraction as a good reference for every engineer working behind the scenes to improve the user audio experience.” (Jon W. Mooney, Noise Control Engineering Journal, Vol. 65 (3), May-June, 2017)

        
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