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Consonant perception by users of Nucleus and Clarion multichannel cochlear implants
1Department of Otolaryngology-Head and Neck Surgery, University of California Irvine Medical Center, Orange 92668, USA.
The American Journal of Otology
|September 1, 1995
Summary
This study compared consonant perception in cochlear implant (CI) users. The Clarion device showed potential for encoding place of articulation, unlike other multichannel CIs.
Area of Science:
- Audiology
- Biomedical Engineering
- Speech Perception
Background:
- Multichannel cochlear implants (CIs) aim to restore hearing but vary in speech perception capabilities.
- Understanding consonant perception is crucial for assessing CI performance.
- Previous research indicates differences in feature information transmission across CI devices.
Purpose of the Study:
- To compare consonant perception and feature information transmission among users of Nucleus, Clarion-CIS, and Clarion-CA multichannel cochlear implant devices.
- To investigate if the Clarion device encodes acoustic information related to the place of articulation.
- To evaluate the performance of different CI devices in auditory-only conditions.
Main Methods:
- Administered the Iowa Medical Consonant Recognition Test (ICRT) in an auditory-only condition.
- Recruited users of Nucleus (N=5), Clarion-CIS (N=5), and Clarion-CA (N=4) cochlear implants.
- Calculated consonant feature information transmission for manner, nasality, place, duration, and voicing.
Main Results:
- All CI groups averaged approximately 50% correct consonant recognition, with scores ranging from 34% to 84%.
- Nucleus group showed highest transmission for duration, nasality, and voicing.
- Clarion-CIS and Clarion-CA groups demonstrated transmission for duration and place of articulation, with Clarion-CA showing notable place information.
Conclusions:
- The Clarion device, including Clarion-CA, may transmit acoustic information related to the place of articulation, a feature not well-encoded by other multichannel CIs.
- Consonant perception varies across different CI technologies.
- Further research is needed to optimize CI strategies for encoding complex speech features like place of articulation.