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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kyung Hwan Kim Jin Ho Kim Doo Hee Kim |
| Copyright Year | 2007 |
| Abstract | The purpose of this study was to improve speech perception performance of cochlear implant (CI) under noise by a speech processing strategy based on nonlinear time-varying filter model of biological cochlea, which is beneficial in preserving spectral cues for speech perception. A dual resonance nonlinear model was applied to implement this feature. Time-frequency analysis indicated that formant information was more clearly represented at the output of CI speech processor, especially under noise. Acoustic simulation and hearing experiment also showed the superiority of the proposed strategy in that vowel perception score was notably enhanced. It was also observed that the AN responses to the stimulation pulses produced by the proposed strategy encode the formant information faithfully. Since the proposed strategy can be employed in CI devices without modification of hardwares, a significant contribution for the improvement of speech perception capability of CI implantees is expected. |
| Starting Page | 6352 |
| Ending Page | 6355 |
| File Size | 685856 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424407873 |
| ISSN | 1557170X |
| DOI | 10.1109/IEMBS.2007.4353808 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-08-22 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Speech processing Cochlear implants Biological system modeling Speech enhancement Biological information theory Filters Resonance Time frequency analysis Speech analysis Acoustic noise |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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