QESTRAL (Part 4): Test Signals, Combining Metrics, and the Prediction of Overall Spatial Quality
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M. Dewhirst, R. Conetta, F. Rumsey, P. Jackson, S. Zielinski, S. George, S. Bech, and D. Meares, "QESTRAL (Part 4): Test Signals, Combining Metrics, and the Prediction of Overall Spatial Quality," Paper 7598, (2008 October.). doi:
M. Dewhirst, R. Conetta, F. Rumsey, P. Jackson, S. Zielinski, S. George, S. Bech, and D. Meares, "QESTRAL (Part 4): Test Signals, Combining Metrics, and the Prediction of Overall Spatial Quality," Paper 7598, (2008 October.). doi:
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.
@article{dewhirst2008qestral,
author={dewhirst, martin and conetta, robert and rumsey, francis and jackson, philip and zielinski, slawomir and george, sunish and bech, søren and meares, david},
journal={journal of the audio engineering society},
title={qestral (part 4): test signals, combining metrics, and the prediction of overall spatial quality},
year={2008},
volume={},
number={},
pages={},
doi={},
month={october},}
@article{dewhirst2008qestral,
author={dewhirst, martin and conetta, robert and rumsey, francis and jackson, philip and zielinski, slawomir and george, sunish and bech, søren and meares, david},
journal={journal of the audio engineering society},
title={qestral (part 4): test signals, combining metrics, and the prediction of overall spatial quality},
year={2008},
volume={},
number={},
pages={},
doi={},
month={october},
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.},}
TY - paper
TI - QESTRAL (Part 4): Test Signals, Combining Metrics, and the Prediction of Overall Spatial Quality
SP -
EP -
AU - Dewhirst, Martin
AU - Conetta, Robert
AU - Rumsey, Francis
AU - Jackson, Philip
AU - Zielinski, Slawomir
AU - George, Sunish
AU - Bech, Søren
AU - Meares, David
PY - 2008
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2008
TY - paper
TI - QESTRAL (Part 4): Test Signals, Combining Metrics, and the Prediction of Overall Spatial Quality
SP -
EP -
AU - Dewhirst, Martin
AU - Conetta, Robert
AU - Rumsey, Francis
AU - Jackson, Philip
AU - Zielinski, Slawomir
AU - George, Sunish
AU - Bech, Søren
AU - Meares, David
PY - 2008
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2008
AB - 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.
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.
Authors:
Dewhirst, Martin; Conetta, Robert; Rumsey, Francis; Jackson, Philip; Zielinski, Slawomir; George, Sunish; Bech, Søren; Meares, David
Affiliations:
Institute of Sound Recording, University of Surrey; Bang & Olufsen A/S; DJM Consultancy(See document for exact affiliation information.)
AES Convention:
125 (October 2008)
Paper Number:
7598
Publication Date:
October 1, 2008Import into BibTeX
Subject:
Spatial Audio Quality
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=14749