Prediction of Speech Recognition in Cochlear Implant Users by Adapting Auditory Models to Psychophysical Data
2009 (English)In: Eurasip Journal on Advances in Signal Processing, ISSN 1687-6172, Vol. 2009, 175243- p.Article in journal (Refereed) Published
Users of cochlear implants (CIs) vary widely in their ability to recognize speech in noisy conditions. There are many factors that may influence their performance. We have investigated to what degree it can be explained by the users' ability to discriminate spectral shapes. A speech recognition task has been simulated using both a simple and a complex models of CI hearing. The models were individualized by adapting their parameters to fit the results of a spectral discrimination test. The predicted speech recognition performance was compared to experimental results, and they were significantly correlated. The presented framework may be used to simulate the effects of changing the CI encoding strategy.
Place, publisher, year, edition, pages
2009. Vol. 2009, 175243- p.
multichannel electrical-stimulation, hearing-impaired listeners, noise, nerve, intelligibility, resolution, patterns
Engineering and Technology
IdentifiersURN: urn:nbn:se:kth:diva-18836DOI: 10.1155/2009/175243ISI: 000270476800001ScopusID: 2-s2.0-70349213558OAI: oai:DiVA.org:kth-18836DiVA: diva2:336883
QC 201005252010-08-052010-08-052011-01-14Bibliographically approved