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Research Article
21 May 2019

Predicting Speech Recognition Using the Speech Intelligibility Index and Other Variables for Cochlear Implant Users

Publication: Journal of Speech, Language, and Hearing Research
Volume 62, Number 5
Pages 1517-1531

Abstract

Purpose

Although the speech intelligibility index (SII) has been widely applied in the field of audiology and other related areas, application of this metric to cochlear implants (CIs) has yet to be investigated. In this study, SIIs for CI users were calculated to investigate whether the SII could be an effective tool for predicting speech perception performance in a population with CI.

Method

Fifteen pre- and postlingually deafened adults with CI participated. Speech recognition scores were measured using the AzBio sentence lists. CI users also completed questionnaires and performed psychoacoustic (spectral and temporal resolution) and cognitive function (digit span) tests. Obtained SIIs were compared with predicted SIIs using a transfer function curve. Correlation and regression analyses were conducted on perceptual and demographic predictor variables to investigate the association between these factors and speech perception performance.

Result

Because of the considerably poor hearing and large individual variability in performance, the SII did not predict speech performance for this CI group using the traditional calculation. However, new SII models were developed incorporating predictive factors, which improved the accuracy of SII predictions in listeners with CI.

Conclusion

Conventional SII models are not appropriate for predicting speech perception scores for CI users. Demographic variables (aided audibility and duration of deafness) and perceptual–cognitive skills (gap detection and auditory digit span outcomes) are needed to improve the use of the SII for listeners with CI. Future studies are needed to improve our CI-corrected SII model by considering additional predictive factors.

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Information & Authors

Information

Published In

Journal of Speech, Language, and Hearing Research
Volume 62Number 5May 2019
Pages: 1517-1531
PubMed: 31058575

History

  • Received: Jul 25, 2018
  • Revised: Nov 2, 2018
  • Accepted: Dec 18, 2018
  • Published online: May 13, 2019
  • Published in issue: May 21, 2019

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Authors

Affiliations

Sungmin Lee
Erik Jonsson School of Engineering and Computer Science, University of Texas at Dallas
Lisa Lucks Mendel
School of Communication Sciences and Disorders, University of Memphis, TN
Gavin M. Bidelman
School of Communication Sciences and Disorders, University of Memphis, TN
Institute for Intelligent Systems, University of Memphis, TN
Department of Anatomy and Neurobiology, University of Tennessee Health Sciences Center, Memphis

Notes

Disclosure: The authors have declared that no competing interests existed at the time of publication.
Correspondence to Sungmin Lee: [email protected]
Editor-in-Chief: Frederick (Erick) Gallun
Editor: Jennifer Lentz

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