Spatial Audio Quality Perception (Part 2): A Linear Regression Model

Conetta R, Brookes T, Rumsey F, Zielinski S, Dewhirst M, Jackson P, Bech S, Meares D, George S. Spatial Audio Quality Perception (Part 2): A Linear Regression Model. J Audio Eng Soc. 2014;62(12):847-860. doi:10.17743/jaes.2014.0047

@article{Conetta2014_17558,
  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},
  title = {{Spatial Audio Quality Perception (Part 2): A Linear Regression Model}},
  journal = {Journal of the Audio Engineering Society},
  volume = {62},
  number = {12},
  pages = {847--860},
  year = {2014},
  month = dec,
  publisher = {Audio Engineering Society},
  doi = {10.17743/jaes.2014.0047},
  url = {https://doi.org/10.17743/jaes.2014.0047}
}

TY  - JOUR
TI  - Spatial Audio Quality Perception (Part 2): A Linear Regression Model
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
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 62
IS  - 12
SP  - 847
EP  - 860
PY  - 2014
DA  - 2014/12/06
DO  - 10.17743/jaes.2014.0047
UR  - https://doi.org/10.17743/jaes.2014.0047
PB  - Audio Engineering Society
LA  - en
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.
ER  -