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Spatial Audio Quality Perception (Part 2): A Linear Regression Model

Conetta, R, Brookes, T, Rumsey, F, Zielinski, S, Dewhirst, M, Jackson, P, Bech, S, Meares, D and George, S (2015) Spatial Audio Quality Perception (Part 2): A Linear Regression Model JOURNAL OF THE AUDIO ENGINEERING SOCIETY, 62 (12). pp. 847-860.

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Abstract

Previously-obtained data, quantifying the degree of quality degradation resulting from a range of spatial audio processes (SAPs), can be used to build a regression model of perceived spatial audio quality in terms of previously developed spatially and timbrally relevant metrics. A generalizable model thus built, employing just five metrics and two principal components, performs well in its prediction of the quality of a range of program types degraded by a multitude of SAPs commonly encountered in consumer audio reproduction, auditioned at both central and off-center listening positions. Such a model can provide a correlation to listening test data of r = 0.89, with a root mean square error (RMSE) of 11%, making its performance comparable to that of previous audio quality models and making it a suitable core for an artificial-listener-based spatial audio quality evaluation system.

Item Type: Article
Divisions : Faculty of Arts and Social Sciences > School of Arts > Sound Recording
Authors :
AuthorsEmailORCID
Conetta, RUNSPECIFIEDUNSPECIFIED
Brookes, TUNSPECIFIEDUNSPECIFIED
Rumsey, FUNSPECIFIEDUNSPECIFIED
Zielinski, SUNSPECIFIEDUNSPECIFIED
Dewhirst, MUNSPECIFIEDUNSPECIFIED
Jackson, PUNSPECIFIEDUNSPECIFIED
Bech, SUNSPECIFIEDUNSPECIFIED
Meares, DUNSPECIFIEDUNSPECIFIED
George, SUNSPECIFIEDUNSPECIFIED
Date : 5 January 2015
Identification Number : /10.17743/jaes.2014.0047
Copyright Disclaimer : ©2015 Audio Engineering Society. This is an open access publication.
Uncontrolled Keywords : Science & Technology, Technology, Acoustics, Engineering, Multidisciplinary, Engineering, DOWN-MIX ALGORITHMS, SYSTEMS, LIMITATION, BANDWIDTH, SOUND
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 28 Apr 2016 10:35
Last Modified : 28 Apr 2016 10:35
URI: http://epubs.surrey.ac.uk/id/eprint/807366

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