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JA. M.. Kates, and KA. H.. Arehart, "The Hearing-Aid Speech Quality Index (HASQI) Version 2," J. Audio Eng. Soc., vol. 62, no. 3, pp. 99-117, (2014 March.). doi: https://doi.org/10.17743/jaes.2014.0006 JA. M.. Kates, and KA. H.. Arehart, "The Hearing-Aid Speech Quality Index (HASQI) Version 2," J. Audio Eng. Soc., vol. 62 Issue 3 pp. 99-117, (2014 March.). doi: https://doi.org/10.17743/jaes.2014.0006
Abstract: The Hearing-Aid Speech Quality Index (HASQI) Version 2 is based on a model of the auditory periphery that incorporates changes due to hearing loss. Audio engineers generally assume that any change in the signal produces quality degradation, but hearing aids are more complicated because they explicitly contain nonlinearities that are intended to make speech more intelligible for hearing-impaired users. A quality index for hearing aids must therefore predict the trade-offs between signal distortion and audibility. The nonlinear component of the HASQI model combines measurements of envelope and temporal fine-structure modifications. The linear component is based on changes in the long-term spectrum; the quality prediction is then formed by taking the product of nonlinear and linear terms. Version 2 of HASQI has been validated for noise and nonlinear distortion, noise suppression, frequency compression, acoustic feedback and feedback cancellation, and modulated noise.

@article{kates2014the,
author={kates, james m. and arehart, kathryn h.},
journal={journal of the audio engineering society},
title={the hearing-aid speech quality index (hasqi) version 2},
year={2014},
volume={62},
number={3},
pages={99-117},
doi={https://doi.org/10.17743/jaes.2014.0006},
month={march},} @article{kates2014the,
author={kates, james m. and arehart, kathryn h.},
journal={journal of the audio engineering society},
title={the hearing-aid speech quality index (hasqi) version 2},
year={2014},
volume={62},
number={3},
pages={99-117},
doi={https://doi.org/10.17743/jaes.2014.0006},
month={march},
abstract={the hearing-aid speech quality index (hasqi) version 2 is based on a model of the auditory periphery that incorporates changes due to hearing loss. audio engineers generally assume that any change in the signal produces quality degradation, but hearing aids are more complicated because they explicitly contain nonlinearities that are intended to make speech more intelligible for hearing-impaired users. a quality index for hearing aids must therefore predict the trade-offs between signal distortion and audibility. the nonlinear component of the hasqi model combines measurements of envelope and temporal fine-structure modifications. the linear component is based on changes in the long-term spectrum; the quality prediction is then formed by taking the product of nonlinear and linear terms. version 2 of hasqi has been validated for noise and nonlinear distortion, noise suppression, frequency compression, acoustic feedback and feedback cancellation, and modulated noise.},}

TY - paper
TI - The Hearing-Aid Speech Quality Index (HASQI) Version 2
SP - 99 EP - 117
AU - Kates, James M.
AU - Arehart, Kathryn H.
PY - 2014
JO - Journal of the Audio Engineering Society
IS - 3
VO - 62
VL - 62
Y1 - March 2014 TY - paper
TI - The Hearing-Aid Speech Quality Index (HASQI) Version 2
SP - 99 EP - 117
AU - Kates, James M.
AU - Arehart, Kathryn H.
PY - 2014
JO - Journal of the Audio Engineering Society
IS - 3
VO - 62
VL - 62
Y1 - March 2014
AB - The Hearing-Aid Speech Quality Index (HASQI) Version 2 is based on a model of the auditory periphery that incorporates changes due to hearing loss. Audio engineers generally assume that any change in the signal produces quality degradation, but hearing aids are more complicated because they explicitly contain nonlinearities that are intended to make speech more intelligible for hearing-impaired users. A quality index for hearing aids must therefore predict the trade-offs between signal distortion and audibility. The nonlinear component of the HASQI model combines measurements of envelope and temporal fine-structure modifications. The linear component is based on changes in the long-term spectrum; the quality prediction is then formed by taking the product of nonlinear and linear terms. Version 2 of HASQI has been validated for noise and nonlinear distortion, noise suppression, frequency compression, acoustic feedback and feedback cancellation, and modulated noise.