Spatial audio reproduction using primary ambient extraction

Spatial audio reproduction is essential to create a natural listening experience for digital media. Majority of the legacy audio contents are in channel-based format, which is very particular on the desired playback system. Considering the diversity of today’s playback systems, the quality of reprod...

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Main Author: He, Jianjun
Other Authors: Gan Woon Seng
Format: Theses and Dissertations
Language:English
Published: 2016
Subjects:
Online Access:https://hdl.handle.net/10356/66031
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-660312023-07-04T16:28:36Z Spatial audio reproduction using primary ambient extraction He, Jianjun Gan Woon Seng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Spatial audio reproduction is essential to create a natural listening experience for digital media. Majority of the legacy audio contents are in channel-based format, which is very particular on the desired playback system. Considering the diversity of today’s playback systems, the quality of reproduced sound scenes degrades significantly when mismatches between the audio content and the playback system occur. Primary ambient extraction (PAE) is an emerging technique that can be employed to solve this pressing issue and achieve an efficient, flexible, and immersive spatial audio reproduction. This thesis investigates the performance of existing PAE approaches and develops new techniques that not only improve the performance, but also enhance the robustness of PAE approaches in dealing with more complex signals encountered in practice. Objective and subjective evaluations validate the feasibility of applying PAE in spatial audio reproduction systems (as also highlighted in the headphone system). DOCTOR OF PHILOSOPHY (EEE) 2016-03-02T08:20:16Z 2016-03-02T08:20:16Z 2016 Thesis He, J. (2016). Spatial audio reproduction using primary ambient extraction. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/66031 10.32657/10356/66031 en 247 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
He, Jianjun
Spatial audio reproduction using primary ambient extraction
description Spatial audio reproduction is essential to create a natural listening experience for digital media. Majority of the legacy audio contents are in channel-based format, which is very particular on the desired playback system. Considering the diversity of today’s playback systems, the quality of reproduced sound scenes degrades significantly when mismatches between the audio content and the playback system occur. Primary ambient extraction (PAE) is an emerging technique that can be employed to solve this pressing issue and achieve an efficient, flexible, and immersive spatial audio reproduction. This thesis investigates the performance of existing PAE approaches and develops new techniques that not only improve the performance, but also enhance the robustness of PAE approaches in dealing with more complex signals encountered in practice. Objective and subjective evaluations validate the feasibility of applying PAE in spatial audio reproduction systems (as also highlighted in the headphone system).
author2 Gan Woon Seng
author_facet Gan Woon Seng
He, Jianjun
format Theses and Dissertations
author He, Jianjun
author_sort He, Jianjun
title Spatial audio reproduction using primary ambient extraction
title_short Spatial audio reproduction using primary ambient extraction
title_full Spatial audio reproduction using primary ambient extraction
title_fullStr Spatial audio reproduction using primary ambient extraction
title_full_unstemmed Spatial audio reproduction using primary ambient extraction
title_sort spatial audio reproduction using primary ambient extraction
publishDate 2016
url https://hdl.handle.net/10356/66031
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