Perceived Audio Quality of Sounds Degraded by Nonlinear Distortions and Single-Ended Assessment Using HASQI

Kendrick P, Li F, Fazenda B, Jackson I, Cox T. Perceived Audio Quality of Sounds Degraded by Nonlinear Distortions and Single-Ended Assessment Using HASQI. J Audio Eng Soc. 2015;63(9):698-712. doi:10.17743/jaes.2015.0068

@article{Kendrick2015_17873,
  author = {Kendrick, Paul and Li, Francis and Fazenda, Bruno and Jackson, Iain and Cox, Trevor},
  title = {{Perceived Audio Quality of Sounds Degraded by Nonlinear Distortions and Single-Ended Assessment Using HASQI}},
  journal = {Journal of the Audio Engineering Society},
  volume = {63},
  number = {9},
  pages = {698--712},
  year = {2015},
  month = sep,
  publisher = {Audio Engineering Society},
  doi = {10.17743/jaes.2015.0068},
  url = {https://doi.org/10.17743/jaes.2015.0068}
}

TY  - JOUR
TI  - Perceived Audio Quality of Sounds Degraded by Nonlinear Distortions and Single-Ended Assessment Using HASQI
AU  - Kendrick, Paul
AU  - Li, Francis
AU  - Fazenda, Bruno
AU  - Jackson, Iain
AU  - Cox, Trevor
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 63
IS  - 9
SP  - 698
EP  - 712
PY  - 2015
DA  - 2015/09/06
DO  - 10.17743/jaes.2015.0068
UR  - https://doi.org/10.17743/jaes.2015.0068
PB  - Audio Engineering Society
LA  - en
AB  - For field recordings and user-generated content recorded on phones, tablets, and other mobile devices, poor audio quality arises in part from nonlinear distortions caused by clipping and limiting at pre-amplification stages and by dynamic range control. Based on the Hearing Aid Sound Quality Index (HASQI), a single-ended method to quantify perceived audio quality in the presence of nonlinear distortions has been developed. Validations on music and soundscapes yielded single-ended estimates within ±0.19 of HASQI on a quality range from 0.0 and 1.0. Perceptual tests were carried out to validate the method for music and soundscapes. HASQI has also been shown to predict quality degradations for processes other than nonlinear distortions including additive noise, linear filtering, and spectral changes. By including these other causes of quality degradations, the current model for nonlinear distortion assessment could be expanded.
ER  -