| Titre : | Evaluation of Speech Recognition of Cochlear Implant Recipients Using Adaptive, Digital Remote Microphone Technology and a Speech Enhancement Sound Processing Algorithm (2015) |
| Auteurs : | Jace Wolfe ; Mila Morais ; Erin C. Schafer ; et al. |
| Type de document : | Article |
| Dans : | Journal of the American Academy of Audiology (JAAA) (Vol. 26, n°5, May 2015) |
| Article en page(s) : | p. 502-508 |
| Langues: | Anglais |
| Descripteurs : |
HE Vinci Implants cochléaires ; Réduction de bruit (NR)Autres descripteurs Modulation de frequence |
| Résumé : |
Background:
Cochlear implant recipients often experience difficulty with understanding speech in the presence of noise. Cochlear implant manufacturers have developed sound processing algorithms designed to improve speech recognition in noise, and research has shown these technologies to be effective. Remote microphone technology utilizing adaptive, digital wireless radio transmission has also been shown to provide significant improvement in speech recognition in noise. There are no studies examining the potential improvement in speech recognition in noise when these two technologies are used simultaneously. |
| Disponible en ligne : | Oui |
| En ligne : | https://login.ezproxy.vinci.be/login?url=https://medone-comsci.thieme.com/ejournals/2157-3107_2015_05?context=search#/10.3766-jaaa.14099 |
Exemplaires (1)
| Cote | Support | Localisation | Section | Disponibilité |
|---|---|---|---|---|
| Journal of the American Academy of Audiology (JAAA). Vol. 26, n°5 (May 2015) | Périodique papier | Ixelles | Rez | Consultation sur place uniquement Exclu du prêt |
