Identifying impaired cochlear implant channels via speech-token confusion matrix analysis

Published

Conference Paper

Cochlear implant patients exhibit a wide range of performance on speech recognition tasks. One potential explanation for such variability is the existence of psychophysically observed phenomena that might indicate the presence of anomalous percepts associated with certain electrical stimuli, which in turn could limit the transmission of important auditory cues. Exhaustive psychophysical testing to detect all such psychophysical anomalies is time prohibitive; however, the search for anomalous channels could be expedited with prior information identifying channels potentially containing an anomaly. This study proposes a method of analyzing confusion matrices from speech token recognition tasks with the intent of identifying impaired channels. Results using both normal-hearing subjects tested with impaired acoustic models and cochlear implant subjects suggest that the proposed methods are providing information about the probability of impairment on each channel. © 2007 IEEE.

Full Text

Duke Authors

Cited Authors

  • Remus, JJ; Collins, LM

Published Date

  • January 1, 2007

Published In

Volume / Issue

  • 4 /

Start / End Page

  • 741 - 744

International Standard Serial Number (ISSN)

  • 1520-6149

International Standard Book Number 10 (ISBN-10)

  • 1424407281

International Standard Book Number 13 (ISBN-13)

  • 9781424407286

Digital Object Identifier (DOI)

  • 10.1109/ICASSP.2007.367019

Citation Source

  • Scopus