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Journal of Speech and Hearing Research Vol.33 676-689 December 1990.
© American Speech-Language-Hearing Association
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Evaluation of an Articulation-Index Based Model for Predicting the Effects of Adaptive Frequency Response Hearing Aids

David A. Fabry 1
Dianne J. Van Tasell 1
1 Department of Communication Disorders, University of Minnesota

The Articulation Index (AI) was used to evaluate an "adaptive frequency response" (AFR) hearing aid with amplification characteristics that automatically change to become more high-pass with increasing levels of background noise. Speech intelligibility ratings of connected discourse by normal-hearing subjects were predicted well by an empirically derived AI transfer function. That transfer function was used to predict aided speech intelligibility ratings by 12 hearing-impaired subjects wearing a master hearing aid with the Argosy Manhattan Circuit enabled (AFR-on) or disabled (AFR-off). For all subjects, the AI predicted no improvements in speech intelligibility for the AFR-on versus AFR-off condition, and no significant improvements in rated intelligibility were observed. The ability of the AI to predict aided speech intelligibility varied across subjects. However, ratings from every hearing-impaired subject were related monotonically to AI. Therefore, AI calculations may be used to predict relative—but not absolute—levels of speech intelligibility produced under different amplification conditions.

Note:

Currently affiliated with Mayo Clinic, Rochester, MN.

KEY WORDS: hearing aids, speech perception, noise, articulation index, sensorineural hearing loss

Submitted on January 29, 1990
Accepted on May 17, 1990


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