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Cochlear implant users' spectral ripple resolution
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Abstract:
This study revisits the issue of the spectral ripple resolution abilities of cochlear implant (CI) users. The spectral ripple resolution of recently implanted CI recipients (implanted during the last 10 years) were compared to those of CI recipients implanted 15 to 20 years ago, as well as those of normal-hearing and hearing-impaired listeners from previously published data from Henry, Turner, and Behrens [J. Acoust. Soc. Am. 118, 1111-1121 (2005)]. More recently, implanted CI recipients showed significantly better spectral ripple resolution. There is no significant difference in spectral ripple resolution for these recently implanted subjects compared to hearing-impaired (acoustic) listeners. The more recently implanted CI users had significantly better pre-operative speech perception than previously reported CI users. These better pre-operative speech perception scores in CI users from the current study may be related to better performance on the spectral ripple discrimination task; however, other possible factors such as improvements in internal and external devices cannot be excluded.
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Keyword:
1201 Arts and Humanities (miscellaneous); 3102 Acoustics and Ultrasonics; Discrimination; Noise; Normal-Hearing; Perception; Performance; Quiet; Reception; Speech Recognition
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URL: https://espace.library.uq.edu.au/view/UQ:373510 https://espace.library.uq.edu.au/view/UQ:373510/UQ373510_OA.pdf
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2 |
Plasticity in Human Pitch Perception Induced by Tonotopically Mismatched Electro-Acoustic Stimulation
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Effects of Lower Frequency-to-Electrode Allocations on Speech and Pitch Perception with the Hybrid Short-Electrode Cochlear Implant
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Spectral peak resolution and speech recognition in quiet: Normal hearing, hearing impaired and cochlear implant listeners
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Speech recognition in noise for cochlear implant listeners: Benefits of residual hearing
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The resolution of complex spectral patterns by cochlear implant and normal-hearing listeners
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Benefits of amplification for speech recognition in background noise
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