HASQI was originally developed by Kates and Arehart to evaluate how the distortions introduced by hearing aids degrade quality.
[2] Kressner et al.[3] tested a speech corpus different from the dataset used to develop HASQI and showed that the index generalizes well for listeners without a hearing loss with a performance comparable to PESQ.
Kendrick et al.[4] showed that HASQI can grade the audio quality of music and geophonic, biophonic, and anthrophonic quotidian sounds, although their study used a more limited set of degradations.
The index attempts to capture the effects of noise, nonlinear distortion, linear filtering and spectral changes, by computing the difference or correlation between key audio features.
Version 2 of HASQI includes a model to capture some aspects of the peripheral auditory system for both normal and hearing impaired listeners.