Biologically inspired silicon vocal tract
Electrical circuit models of biological systems provide an intuitive mechanism for engineers' understanding and are increasingly used to improve the performance of related technology. For example, visual processing performed by the retina can be modeled by a resistive network of interconnected...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
SPIE
2012
|
| Online Access: | http://hdl.handle.net/1721.1/73934 https://orcid.org/0000-0003-0384-3786 |
| _version_ | 1811092310478290944 |
|---|---|
| author | Wee, Keng Hoong Turicchia, Lorenzo Sarpeshkar, Rahul |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Wee, Keng Hoong Turicchia, Lorenzo Sarpeshkar, Rahul |
| author_sort | Wee, Keng Hoong |
| collection | MIT |
| description | Electrical circuit models of biological systems provide an intuitive mechanism for engineers' understanding and are increasingly used to improve the performance of related technology. For example, visual processing performed by the retina can be modeled by a resistive network of interconnected photodetectors and analog processing elements. Complex bio-mechanical systems such as the heart, cochlea, and vocal tract can be modeled using electrical circuits by mapping pressure to voltage, volume velocity to current, and mechanical impedances to electrical impedances, and by representing valves with diodes. Silicon models of the retina1 have been used in machine vision systems and circuit models of the heart have been used to shed light on cardiac and circulatory malfunction in medicine. Silicon cochlea models have led to improved speech recognition in noise2 and low-power cochlear-implant processors for the deaf. |
| first_indexed | 2024-09-23T15:16:24Z |
| format | Article |
| id | mit-1721.1/73934 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T15:16:24Z |
| publishDate | 2012 |
| publisher | SPIE |
| record_format | dspace |
| spelling | mit-1721.1/739342022-09-29T13:48:02Z Biologically inspired silicon vocal tract Wee, Keng Hoong Turicchia, Lorenzo Sarpeshkar, Rahul Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Research Laboratory of Electronics Turicchia, Lorenzo Sarpeshkar, Rahul Electrical circuit models of biological systems provide an intuitive mechanism for engineers' understanding and are increasingly used to improve the performance of related technology. For example, visual processing performed by the retina can be modeled by a resistive network of interconnected photodetectors and analog processing elements. Complex bio-mechanical systems such as the heart, cochlea, and vocal tract can be modeled using electrical circuits by mapping pressure to voltage, volume velocity to current, and mechanical impedances to electrical impedances, and by representing valves with diodes. Silicon models of the retina1 have been used in machine vision systems and circuit models of the heart have been used to shed light on cardiac and circulatory malfunction in medicine. Silicon cochlea models have led to improved speech recognition in noise2 and low-power cochlear-implant processors for the deaf. 2012-10-12T15:48:56Z 2012-10-12T15:48:56Z 2010-02 Article http://purl.org/eprint/type/JournalArticle 1818-2259 http://hdl.handle.net/1721.1/73934 Wee, Keng Hoong. “A Biologically Inspired Silicon Vocal Tract.” SPIE Newsroom (2010). Copyright © 2010 SPIE https://orcid.org/0000-0003-0384-3786 en_US http://dx.doi.org/10.1117/2.1201001.1807 SPIE Newsroom Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf SPIE SPIE |
| spellingShingle | Wee, Keng Hoong Turicchia, Lorenzo Sarpeshkar, Rahul Biologically inspired silicon vocal tract |
| title | Biologically inspired silicon vocal tract |
| title_full | Biologically inspired silicon vocal tract |
| title_fullStr | Biologically inspired silicon vocal tract |
| title_full_unstemmed | Biologically inspired silicon vocal tract |
| title_short | Biologically inspired silicon vocal tract |
| title_sort | biologically inspired silicon vocal tract |
| url | http://hdl.handle.net/1721.1/73934 https://orcid.org/0000-0003-0384-3786 |
| work_keys_str_mv | AT weekenghoong biologicallyinspiredsiliconvocaltract AT turicchialorenzo biologicallyinspiredsiliconvocaltract AT sarpeshkarrahul biologicallyinspiredsiliconvocaltract |