Speech filtering for improving intelligibility in noisy transients
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2011
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| Online Access: | http://hdl.handle.net/1721.1/66433 |
| _version_ | 1811095711443320832 |
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| author | Lewine, Andrew (Andrew P.) |
| author2 | Rahul Sarpeshkar. |
| author_facet | Rahul Sarpeshkar. Lewine, Andrew (Andrew P.) |
| author_sort | Lewine, Andrew (Andrew P.) |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011. |
| first_indexed | 2024-09-23T16:25:42Z |
| format | Thesis |
| id | mit-1721.1/66433 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T16:25:42Z |
| publishDate | 2011 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/664332019-04-10T18:00:31Z Speech filtering for improving intelligibility in noisy transients Lewine, Andrew (Andrew P.) Rahul Sarpeshkar. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011. Cataloged from PDF version of thesis. Includes bibliographical references. Hearing impairment is a problem that affects a large percentage of the population. Cochlear implants allow those with profound or total hearing loss to regain some hearing by stimulating auditory nerve fibers with implanted electrodes, in response to sound picked up by an external microphone. The signal processing chain from microphone input to stimulation output is an important factor in the overall speech intelligibility of the implant system. This thesis work improves on an existing ultra-low-power cochlear implant system by utilizing an improved noise and power efficient bandpass filter bank to implement a novel frequency-selective gain control algorithm capable of reducing, and in some cases removing, loud transient noises, thereby improving speech intelligibility. This gain control algorithm takes advantage of the inherent frequency-specific gain control afforded by the improved bandpass filter topology. This contribution makes an improvement to the existing state-of-the-art system in both power efficiency and performance. by Andrew Lewine. M.Eng. 2011-10-17T21:25:28Z 2011-10-17T21:25:28Z 2011 2011 Thesis http://hdl.handle.net/1721.1/66433 755629897 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 75 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Lewine, Andrew (Andrew P.) Speech filtering for improving intelligibility in noisy transients |
| title | Speech filtering for improving intelligibility in noisy transients |
| title_full | Speech filtering for improving intelligibility in noisy transients |
| title_fullStr | Speech filtering for improving intelligibility in noisy transients |
| title_full_unstemmed | Speech filtering for improving intelligibility in noisy transients |
| title_short | Speech filtering for improving intelligibility in noisy transients |
| title_sort | speech filtering for improving intelligibility in noisy transients |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/66433 |
| work_keys_str_mv | AT lewineandrewandrewp speechfilteringforimprovingintelligibilityinnoisytransients |