The QESTRAL (Quality Evaluation of Spatial Transmission and Reproduction using an Artificial Listener) system is intended to be an artificial-listener-based evaluation system capable of predicting the perceived spatial quality degradations resulting from SAPs (Spatial Audio Processes) commonly encountered in consumer audio reproduction. A generalizable model employing just five metrics and two principal components performs well in its prediction of the quality over a range of program types. Commonly-encountered SAPs can have a large deleterious effect on several spatial attributes including source location, envelopment, coverage angle, ensemble width, and spaciousness. They can also impact timbre, and changes to timbre can then influence spatial perception. Previously obtained data was used to build a regression model of perceived spatial audio quality in terms of spatial and timbral metrics. In conjunction with two simple probe signals, the resulting model can form the core of an evaluation system.
Conetta, Robert; Brookes, Tim; Rumsey, Francis; Zielinski, Slawomir; Dewhirst, Martin; Jackson, Philip; Bech, Søren; Meares, David; George, Sunish
Affiliations: University of Surrey, Guildford, UK; Sandy Brown Associates LLP, UK; Logophon Ltd., Oxfordshire, UK; The Technical Schools, Suwalki, Poland; Bang & Olufsen a / s, Strüer, Denmark; DJM Consultancy, West Sussex, UK; BBC Research, UK; Harman Becker Automotive Systems GmbH, Germany(See document for exact affiliation information.)
JAES Volume 62 Issue 12 pp. 847-860; December 2014
Publication Date: January 5, 2015
Download Now (334 KB)
No AES members have commented on this paper yet.
If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.