Psychoacoustic and Demographic Factors for Speech Recognition of Older Adult Cochlear Implant Users.


Journal

Journal of speech, language, and hearing research : JSLHR
ISSN: 1558-9102
Titre abrégé: J Speech Lang Hear Res
Pays: United States
ID NLM: 9705610

Informations de publication

Date de publication:
22 06 2020
Historique:
pubmed: 6 6 2020
medline: 22 6 2021
entrez: 6 6 2020
Statut: ppublish

Résumé

Purpose This study aimed to evaluate the effects of aging and cochlear implant (CI) on psychoacoustic and speech recognition abilities and to assess the relative contributions of psychoacoustic and demographic factors to speech recognition of older CI (OCI) users. Method Twelve OCI users, 12 older acoustic-hearing (OAH) listeners age-matched to OCI users, and 12 younger normal-hearing (YNH) listeners underwent tests of temporal amplitude modulation detection, temporal gap detection in noise, and spectral-temporal modulated ripple discrimination. Speech reception thresholds were measured for sentence recognition in multitalker, speech-babble noise. Results Statistical analyses showed that, for the small sample of OAH listeners, the degree of hearing loss did not significantly affect any outcome measure. Temporal resolution, spectral resolution, and speech recognition all significantly degraded with both age and the use of a CI (i.e., YNH better than OAH and OAH better than OCI performance). Although both were significantly correlated with OCI users' speech recognition, the duration of CI use no longer had a significant effect on speech recognition once the effect of spectral-temporal ripple discrimination performance was taken into account. For OAH listeners, the only significant predictor of speech recognition was temporal gap detection performance. Conclusion The preliminary results suggest that speech recognition of OCI users may improve with longer duration of CI use, mainly due to higher perceptual acuity to spectral-temporal modulated ripples in acoustic stimuli.

Identifiants

pubmed: 32501736
doi: 10.1044/2020_JSLHR-19-00225
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1712-1725

Auteurs

Xin Luo (X)

College of Health Solutions, Arizona State University, Tempe.

Courtney Kolberg (C)

College of Health Solutions, Arizona State University, Tempe.

Kathryn R Pulling (KR)

College of Health Solutions, Arizona State University, Tempe.

Tamiko Azuma (T)

College of Health Solutions, Arizona State University, Tempe.

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Classifications MeSH