Abstract:

Disclosed is a system and method for individualized hearing aid prescription which consists of a test procedure that enables the fitting of an individualized estimation of the SII model to individual listeners efficiently and an optimization process which translates the resulting individualized model to the prescribed gains across frequencies for programming into the user’s hearing aids. The test involves the recognition of one or more words presented in background noise, which better approximates the daily listening experiences of hearing-aid users compared to the pure-tone detection in a silent environment task which is commonly utilized during conventional audiometric testing. In the estimated SII model, five parameters describe in a custom fashion the relative weights of speech information across the five frequency bands for a given listener. The results from the speech test is used to determine the desirable amount of gain for each frequency region to optimize the user’s aided speech intelligibility. The resulting gains for the individual may then be programmatically applied to the individual’s prescribed hearing aid device(s).

Publication(s):

Shen, Yi. (2023). SYSTEM AND METHOD FOR INDIVIDUALIZED HEARING AID PRESCRIPTION.

Authors:

Yi Shen