University of Surrey

Test tubes in the lab Research in the ATI Dance Research

QESTRAL (Part 4): Test signals, combining metrics and the prediction of overall spatial quality

Dewhirst, M, Conetta, R, Rumsey, F, Jackson, PJB, Zielinski, S, George, S, Bech, S and Meares, D (2008) QESTRAL (Part 4): Test signals, combining metrics and the prediction of overall spatial quality In: 125th Audio Engineering Society Convention, 2008-10-02 - ?, San Francisco CA.

[img]
Preview
PDF
DewhirstEtAl_AES08.pdf
Available under License : See the attached licence file.

Download (125kB)
[img] Plain Text (licence)
licence.txt

Download (1kB)
Official URL: http://www.aes.org/

Abstract

The QESTRAL project has developed an artificial listener that compares the perceived quality of a spatial audio reproduction to a reference reproduction. Test signals designed to identify distortions in both the foreground and background audio streams are created for both the reference and the impaired reproduction systems. Metrics are calculated from these test signals and are then combined using a regression model to give a measure of the overall perceived spatial quality of the impaired reproduction compared to the reference reproduction. The results of the model are shown to match closely the results obtained in listening tests. Consequently, the model can be used as an alternative to listening tests when evaluating the perceived spatial quality of a given reproduction system, thus saving time and expense.

Item Type: Conference or Workshop Item (Paper)
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
Depositing User: Symplectic Elements
Date Deposited: 27 Jun 2012 10:59
Last Modified: 23 Sep 2013 18:51
URI: http://epubs.surrey.ac.uk/id/eprint/7762

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800