Measuring and Predicting Perceived Audio Quality

Staff A. Measuring and Predicting Perceived Audio Quality. J Audio Eng Soc. 2005;53(5):443-448. Available from: https://aes.org/publications/elibrary-page/?id=13421

@article{Staff2005_13421,
  author = {Staff, AES},
  title = {{Measuring and Predicting Perceived Audio Quality}},
  journal = {Journal of the Audio Engineering Society},
  volume = {53},
  number = {5},
  pages = {443--448},
  year = {2005},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13421}
}

TY  - JOUR
TI  - Measuring and Predicting Perceived Audio Quality
AU  - Staff, AES
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 53
IS  - 5
SP  - 443
EP  - 448
PY  - 2005
DA  - 2005/05/06
UR  - https://aes.org/publications/elibrary-page/?id=13421
PB  - Audio Engineering Society
LA  - en
AB  - [Feature Article] It is widely accepted that listening tests are time-consuming and expensive to conduct, yet they remain the only reliable way of evaluating perceived sound quality in a number of fields. The Holy Grail of psychoacoustics research, at least in many quarters, is the ability to model the quality perception process accurately enough so that measurements of the audio signal can be converted into predictions of perceived quality. However, this is a complex issue. The judgment of sound quality depends on many perceptual and cognitive factors. In tests to judge speech quality an objective measurement has been possible for some time now, with various measures in existence designed to predict the quality of speech coded at low bit rates. More recently there have been standard models to predict the quality of full-range audio signals, and again these have tended to be driven by the introduction of perceptual audio coding at low bit rates. The accuracy of prediction varies, and researchers aim to improve this with refinements to the models they use.
ER  -