AES Journal Forum

Analysis of Individual Preferences for Tuning of Noise-Reduction Algorithms

Document Thumbnail

The parameters of noise-reduction algorithms in consumer products, such as hearing aids, are often preset using a generic model to represent the average listener. This research explores the degree to which tunable parameters improve the trade-off between noise reduction and speech degradation. A logistic probability model was developed that allowed for interpolation of the data so that the optimal trade-off for each individual subject could be determined. For five out of ten subjects, their preferred settings were modestly different from the parameters obtained using group averages. Nevertheless, at least for normal hearing listeners, individualization does not appear to be critical. Hearing-impaired listeners may acquire more benefit from custom tuning.

JAES Volume 60 Issue 12 pp. 1024-1037; December 2012
Publication Date:

Click to purchase paper as a non-member 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:

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.

AES - Audio Engineering Society