QESTRAL (Part 1): Quality Evaluation of Spatial Transmission and Reproduction using an Artificial Listener
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Rumsey, F, Zielinski, S, Jackson, PJB, Dewhirst, M, Conetta, R, George, S, Bech, S and Meares, D (2008) QESTRAL (Part 1): Quality Evaluation of Spatial Transmission and Reproduction using an Artificial Listener
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Official URL: http://www.aes.org/
Abstract
Most current perceptual models for audio quality have so far tended to concentrate on the audibility of distortions and noises that mainly affect the timbre of reproduced sound. The QESTRAL model, however, is specifically designed to take account of distortions in the spatial domain such as changes in source location, width and envelopment. It is not aimed only at codec quality evaluation but at a wider range of spatial distortions that can arise in audio processing and reproduction systems. The model has been calibrated against a large database of listening tests designed to evaluate typical audio processes, comparing spatially degraded multichannel audio material against a reference. Using a range of relevant metrics and a sophisticated multivariate regression model, results are obtained that closely match those obtained in listening tests.
| Item Type: | Conference or Workshop Item (Paper) |
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| Additional Information: | The papers at this Convention have been selected on the basis of a submitted abstract and extended precis that have been peer reviewed by at least two qualified anonymous reviewers. This convention paper has been reproduced from the author's advance manuscript, without editing, corrections, or consideration by the Review Board. The AES takes no responsibility for the contents. Additional papers may be obtained by sending request and remittance to Audio Engineering Society, 60 East 42nd Street, New York, New York 10165-2520, USA; also see www.aes.org. All rights reserved. Reproduction of this paper, or any portion thereof, is not permitted without direct permission from the Journal of the Audio Engineering Society. |
| Divisions: | Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing |
| ID Code: | 7736 |
| Deposited By: | Symplectic Elements |
| Deposited On: | 27 Jun 2012 10:09 |
| Last Modified: | 19 May 2013 02:34 |
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