Methodologies for High-dimensional Objective Assessment of Spatial Audio Quality

Darcy D, Terry K, Davidson G, Graff R, Brandmeyer A, Crum P. Methodologies for High-dimensional Objective Assessment of Spatial Audio Quality. In: AES Convention 140. Audio Engineering Society; 2016.pp. 9531:1-7. Available from: https://aes.org/publications/elibrary-page/?id=18230

@inproceedings{Darcy2016_18230,
  author = {Darcy, Dan and Terry, Kent and Davidson, Grant and Graff, Rich and Brandmeyer, Alex and Crum, Poppy},
  title = {{Methodologies for High-dimensional Objective Assessment of Spatial Audio Quality}},
  booktitle = {AES Convention 140},
  pages = {9531:1-7},
  url = {https://aes.org/publications/elibrary-page/?id=18230},
  year = {2016},
  month = may,
  publisher = {Audio Engineering Society},
  address = {Paris Francia}
}

TY  - CPAPER
TI  - Methodologies for High-dimensional Objective Assessment of Spatial Audio Quality
AU  - Darcy, Dan
AU  - Terry, Kent
AU  - Davidson, Grant
AU  - Graff, Rich
AU  - Brandmeyer, Alex
AU  - Crum, Poppy
T2  - AES Convention 140
SP  - 1
EP  - 7
M1  - Paper 9531
PY  - 2016
DA  - 2016/05/06
UR  - https://aes.org/publications/elibrary-page/?id=18230
PB  - Audio Engineering Society
CY  - Paris Francia
LA  - en
AB  - Traditional methods of subjective assessment of sound, such as ratings scales and forced-choice tasks, can be limited and time intensive in their ability to reflect the depth of experiential qualities associated with spatial hearing. Attempts to report localization of sound can be challenging when confounds or noise are introduced by constrained motions of head turning or pointing, and these approaches do not all record higher-dimensional features of sound like dispersion and trajectory. We propose a structured method of testing to reliably capture the quality of experience of spatial sound. Feature extraction of the high-dimensional representation of reported experiences converts to robust metrics used to tune and drive system performance toward desired perceptual attributes and optimal experiential performance.
ER  -