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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rubinstein, J.T. Turner, C. |
| Copyright Year | 2003 |
| Description | Author affiliation: Departments of Otolaryngology, Iowa Univ., Iowa City, IA, USA (Rubinstein, J.T.; Turner, C.) |
| Abstract | Acoustic simulations of cochlear implant signal processing have been widely used to determine the upper bounds on speech perception using these devices. These simulations assume that the only temporal information delivered to the inner ear is the envelope of the signal and that spectral cues, determined by the number of channels present, are the primary determinant of speech perception ability. While highly informative, such simulations fail to explain open-set speech perception obtained by some patients who received single channel implants as young children. In addition, some implant recipients enjoy and appreciate music to an extent not possible if envelope is the sole source of temporal information. A novel acoustic simulation algorithm is described which allows varying the degree to which temporal fine structure is delivered to the cochlea. Use of this algorithm demonstrates that while high levels of speech perception in quiet can be provided with only six channels of envelope, inclusion of even small amounts of temporal fine structure dramatically improves perception of speech in noise, timbre and melody. |
| Starting Page | 142 |
| Ending Page | 145 |
| File Size | 446136 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780375793 |
| DOI | 10.1109/CNE.2003.1196777 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-03-20 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cochlear implants Pediatrics Acoustic devices Upper bound Signal processing algorithms Auditory system Ear Speech enhancement Acoustic signal processing Speech processing |
| Content Type | Text |
| Resource Type | Article |
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