Collected research datasets of Michael Dorman, Professor Emeritus in the College of Health Solutions. Professor Dorman directs the Cochlear Implant Research Laboratory. His group investigates many aspects of speech, voice, and music perception by patients fit with cochlear implants and by normal-hearing subjects listening to simulations of cochlear implants. (ORCID)
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21 to 30 of 35 Results
Waveform Audio - 13.0 MB - MD5: 86cf4f4898ae022f80ef3d8aa25328d5
Data
Matches rated as 9.5 or higher by patients fit with a shorter electrode array
Waveform Audio - 20.2 MB - MD5: ba504db7942169fc06a574571a3c2e73
Data
Matches created by turning off electrodes 1 and 2 (most apical electrodes) and creating a functionally shorter electrode array
Waveform Audio - 19.8 MB - MD5: 312a94ec8a42f69cd887e1582c6648da
Data
Matches by patients with residual, low-frequency acoustic hearing in their implanted ear.
Waveform Audio - 20.6 MB - MD5: 437fc44e0f0d3da7af82a25219096e43
Data
Matches to speech and to instrumental/vocal music by a musically trained listener
Plain Text - 4.8 KB - MD5: 299717b2e8122559007b39bbc7a9660f
Documentation
May 9, 2023
Dorman, Michael; Natale, Sarah, 2023, "Supplemental data for Approximations to the Voice of a Cochlear Implant: Explorations With Single-Sided Deaf Listeners", https://doi.org/10.48349/ASU/PMZYMS, ASU Library Research Data Repository, V2
Single-sided deaf listeners fit with a cochlear implant (CI) were presented a clean signal to their CI ear and then an altered version of the clean signal to their normal hearing ear. The patient was asked to report how the signal to the normal hearing ear needed to be modified to sound like the signal in the CI ear. Two visual files show the test...
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