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Close approximations to the sound of a cochlear implant.
Dorman, Michael F; Natale, Sarah C; Stohl, Joshua S; Felder, Jenna.
Affiliation
  • Dorman MF; College of Health Solutions, Speech and Hearing Science, Arizona State University, Tempe, AZ, United States.
  • Natale SC; College of Health Solutions, Speech and Hearing Science, Arizona State University, Tempe, AZ, United States.
  • Stohl JS; North American Research Laboratory, MED-EL, Durham, NC, United States.
  • Felder J; North American Research Laboratory, MED-EL, Durham, NC, United States.
Front Hum Neurosci ; 18: 1434786, 2024.
Article de En | MEDLINE | ID: mdl-39086377
ABSTRACT
Cochlear implant (CI) systems differ in terms of electrode design and signal processing. It is likely that patients fit with different implant systems will experience different percepts when presented speech via their implant. The sound quality of speech can be evaluated by asking single-sided-deaf (SSD) listeners fit with a cochlear implant (CI) to modify clean signals presented to their typically hearing ear to match the sound quality of signals presented to their CI ear. In this paper, we describe very close matches to CI sound quality, i.e., similarity ratings of 9.5 to 10 on a 10-point scale, by ten patients fit with a 28 mm electrode array and MED EL signal processing. The modifications required to make close approximations to CI sound quality fell into two groups One consisted of a restricted frequency bandwidth and spectral smearing while a second was characterized by a wide bandwidth and no spectral smearing. Both sets of modifications were different from those found for patients with shorter electrode arrays who chose upshifts in voice pitch and formant frequencies to match CI sound quality. The data from matching-based metrics of CI sound quality document that speech sound-quality differs for patients fit with different CIs and among patients fit with the same CI.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Front Hum Neurosci Année: 2024 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: Suisse

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Front Hum Neurosci Année: 2024 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: Suisse