QESTRAL (Part 3): System and Metrics for Spatial Quality Prediction

Jackson P, Dewhirst M, Conetta R, Zielinski S, Rumsey F, Meares D, Bech S, George S. QESTRAL (Part 3): System and Metrics for Spatial Quality Prediction. In: AES Convention 125. Audio Engineering Society; 2008. Paper 7597. Available from: https://aes.org/publications/elibrary-page/?id=14748

@inproceedings{Jackson2008_14748,
  author = {Jackson, Philip and Dewhirst, Martin and Conetta, Robert and Zielinski, Slawomir and Rumsey, Francis and Meares, David and Bech, Søren and George, Sunish},
  title = {{QESTRAL (Part 3): System and Metrics for Spatial Quality Prediction}},
  booktitle = {AES Convention 125},
  note = {Paper 7597},
  year = {2008},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14748}
}

TY  - CPAPER
TI  - QESTRAL (Part 3): System and Metrics for Spatial Quality Prediction
AU  - Jackson, Philip
AU  - Dewhirst, Martin
AU  - Conetta, Robert
AU  - Zielinski, Slawomir
AU  - Rumsey, Francis
AU  - Meares, David
AU  - Bech, Søren
AU  - George, Sunish
T2  - AES Convention 125
M1  - Paper 7597
PY  - 2008
DA  - 2008/10/06
UR  - https://aes.org/publications/elibrary-page/?id=14748
PB  - Audio Engineering Society
LA  - en
AB  - The QESTRAL project aims to develop an artificial listener for comparing the perceived quality of a spatial audio reproduction against a reference reproduction. This paper presents implementation details for simulating the acoustics of the listening environment and the listener's auditory processing. Acoustical modelling is used to calculate binaural signals and simulated microphone signals at the listening position, from which a number of metrics corresponding to different perceived spatial aspects of the reproduced sound field are calculated. These metrics are designed to describe attributes associated with location, width and envelopment attributes of a spatial sound scene. Each provides a measure of the perceived spatial quality of the impaired reproduction compared to the reference reproduction. As validation, individual metrics from listening test signals are shown to match closely subjective results obtained, and can be used to predict spatial quality for arbitrary signals.
ER  -