Systematic groupings in hearing-impaired consonant perception

Authors

  • Andrea C. Trevino Beckman Institute, University of Illinois at Urbana-Champaign, IL, USA
  • Jont B. Allen Beckman Institute, University of Illinois at Urbana-Champaign, IL, USA

Abstract

Auditory training programs are currently being explored as a method of improving hearing-impaired (HI) speech perception; precise knowledge of a patient’s individual differences in speech perception allows one to more accurately diagnose how a training program should be implemented. Re- mapping or variations in the weighting of acoustic cues, due to auditory plasticity, can be examined with the detailed confusion analyses that we have developed at UIUC. We show an analysis of the responses of 17 ears with sensorineural hearing loss to consonant-vowel stimuli, composed of 14 English consonants followed by the vowel /A/, presented in quiet and speech- shaped noise. Although the tested tokens are noise-robust and unambiguous for normal-hearing listeners, the subtle natural variations in signal properties can lead to systematic differences for HI listeners. Specifically, our recent findings have shown token-dependent individual variability in error and confusion groups for HI listeners. A clustering analysis of the confusion data shows that HI listeners fall into specific groups. Many of the token-dependent confusions that define these groups can also be observed for normal-hearing listeners, under higher noise levels or filtering conditions. These HI-listener groups correspond to different acoustic-cue weighting schemes, highlighting where auditory training should be most effective.

References

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Additional Files

Published

2013-12-15

How to Cite

Trevino, A. C., & Allen, J. B. (2013). Systematic groupings in hearing-impaired consonant perception. Proceedings of the International Symposium on Auditory and Audiological Research, 4, 381–388. Retrieved from https://proceedings.isaar.eu/index.php/isaarproc/article/view/2013-43

Issue

Section

2013/7. Hearing loss assessment and characterization