Journal Forum

Audibility of a CD-Standard A/DA/A Loop Inserted into High-Resolution Audio Playback - September 2007
11 comments

Reflecting on Reflections - June 2014
4 comments

Quiet Thoughts on a Deafening Problem - May 2014
1 comment

Access Journal Forum

AES Journal Forum

The Hearing-Aid Speech Quality Index (HASQI) Version 2

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.

Authors:
Affiliation:
JAES Volume 62 Issue 3 pp. 99-117; March 2014
Publication Date:

Click to purchase paper or you can login as an AES member to see more options.

No AES members have commented on this paper yet.

Subscribe to this discussion

RSS Feed To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.

Start a discussion!

If you would like to start a discussion about this paper and are an AES member then you can login here:
Username:
Password:

If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.

 
Facebook   Twitter   LinkedIn   Google+   YouTube   RSS News Feeds  
AES - Audio Engineering Society