Spatial Audio Quality Perception (Part 2): A Linear Regression Model
×
Cite This
Citation & Abstract
R. Conetta, T. Brookes, F. Rumsey, S. Zielinski, M. Dewhirst, P. Jackson, S. Bech, D. Meares, and S. George, "Spatial Audio Quality Perception (Part 2): A Linear Regression Model," J. Audio Eng. Soc., vol. 62, no. 12, pp. 847-860, (2014 December.). doi: https://doi.org/10.17743/jaes.2014.0047
R. Conetta, T. Brookes, F. Rumsey, S. Zielinski, M. Dewhirst, P. Jackson, S. Bech, D. Meares, and S. George, "Spatial Audio Quality Perception (Part 2): A Linear Regression Model," J. Audio Eng. Soc., vol. 62 Issue 12 pp. 847-860, (2014 December.). doi: https://doi.org/10.17743/jaes.2014.0047
Abstract: 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.
@article{conetta2015spatial,
author={conetta, robert and brookes, tim and rumsey, francis and zielinski, slawomir and dewhirst, martin and jackson, philip and bech, søren and meares, david and george, sunish},
journal={journal of the audio engineering society},
title={spatial audio quality perception (part 2): a linear regression model},
year={2015},
volume={62},
number={12},
pages={847-860},
doi={https://doi.org/10.17743/jaes.2014.0047},
month={december},}
@article{conetta2015spatial,
author={conetta, robert and brookes, tim and rumsey, francis and zielinski, slawomir and dewhirst, martin and jackson, philip and bech, søren and meares, david and george, sunish},
journal={journal of the audio engineering society},
title={spatial audio quality perception (part 2): a linear regression model},
year={2015},
volume={62},
number={12},
pages={847-860},
doi={https://doi.org/10.17743/jaes.2014.0047},
month={december},
abstract={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.},}
TY - paper
TI - Spatial Audio Quality Perception (Part 2): A Linear Regression Model
SP - 847
EP - 860
AU - Conetta, Robert
AU - Brookes, Tim
AU - Rumsey, Francis
AU - Zielinski, Slawomir
AU - Dewhirst, Martin
AU - Jackson, Philip
AU - Bech, Søren
AU - Meares, David
AU - George, Sunish
PY - 2015
JO - Journal of the Audio Engineering Society
IS - 12
VO - 62
VL - 62
Y1 - December 2014
TY - paper
TI - Spatial Audio Quality Perception (Part 2): A Linear Regression Model
SP - 847
EP - 860
AU - Conetta, Robert
AU - Brookes, Tim
AU - Rumsey, Francis
AU - Zielinski, Slawomir
AU - Dewhirst, Martin
AU - Jackson, Philip
AU - Bech, Søren
AU - Meares, David
AU - George, Sunish
PY - 2015
JO - Journal of the Audio Engineering Society
IS - 12
VO - 62
VL - 62
Y1 - December 2014
AB - 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.
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.
Open Access
Authors:
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, 2015Import into BibTeX
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=17558