In This Section
Audibility of a CD-Standard A/DA/A Loop Inserted into High-Resolution Audio Playback - September 2007
Sound Board: Food for Thought, Aesthetics in Orchestra Recording - April 2015
Reflecting on Reflections - June 2014
AES Journal Forum
Analysis of Individual Preferences for Tuning of Noise-Reduction Algorithms
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.
No AES members have commented on this paper yet.
Subscribe to this discussion
Start a discussion!
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.