QESTRAL (Part 4): Test Signals, Combining Metrics, and the Prediction of Overall Spatial Quality

Dewhirst M, Conetta R, Rumsey F, Jackson P, Zielinski S, George S, Bech S, Meares D. QESTRAL (Part 4): Test Signals, Combining Metrics, and the Prediction of Overall Spatial Quality. In: AES Convention 125. Audio Engineering Society; 2008. Paper 7598. Available from: https://aes.org/publications/elibrary-page/?id=14749

@inproceedings{Dewhirst2008_14749,
  author = {Dewhirst, Martin and Conetta, Robert and Rumsey, Francis and Jackson, Philip and Zielinski, Slawomir and George, Sunish and Bech, Søren and Meares, David},
  title = {{QESTRAL (Part 4): Test Signals, Combining Metrics, and the Prediction of Overall Spatial Quality}},
  booktitle = {AES Convention 125},
  note = {Paper 7598},
  year = {2008},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14749}
}

TY  - CPAPER
TI  - QESTRAL (Part 4): Test Signals, Combining Metrics, and the Prediction of Overall Spatial Quality
AU  - Dewhirst, Martin
AU  - Conetta, Robert
AU  - Rumsey, Francis
AU  - Jackson, Philip
AU  - Zielinski, Slawomir
AU  - George, Sunish
AU  - Bech, Søren
AU  - Meares, David
T2  - AES Convention 125
M1  - Paper 7598
PY  - 2008
DA  - 2008/10/06
UR  - https://aes.org/publications/elibrary-page/?id=14749
PB  - Audio Engineering Society
LA  - en
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.
ER  -