Making speech recognition work on the web
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011.
| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2011
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| Online Access: | http://hdl.handle.net/1721.1/66814 |
| _version_ | 1811070384715333632 |
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| author | Varenhorst, Christopher J |
| author2 | James R. Glass and Scott Cyphers. |
| author_facet | James R. Glass and Scott Cyphers. Varenhorst, Christopher J |
| author_sort | Varenhorst, Christopher J |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2011. |
| first_indexed | 2024-09-23T08:35:07Z |
| format | Thesis |
| id | mit-1721.1/66814 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T08:35:07Z |
| publishDate | 2011 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/668142019-04-09T18:36:58Z Making speech recognition work on the web Extending the WAMI toolkit Extending the Web-Accessible Multimodal Interface toolkit Varenhorst, Christopher J James R. Glass and Scott Cyphers. 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 (p. 43-44). We present an improved Audio Controller for Web-Accessible Multimodal Interface toolkit -- a system that provides a simple way for developers to add speech recognition to web pages. Our improved system offers increased usability and performance for users and greater flexibility for developers. Tests performed show a 36% increase in, recognition response time in the best possible networking conditions. Preliminary tests show an improved users experience. The new Wowza platform also provides a means of upgrading other Audio Controllers easily. by Christopher J. Varenhorst. M.Eng. 2011-11-01T19:48:05Z 2011-11-01T19:48:05Z 2011 2011 Thesis http://hdl.handle.net/1721.1/66814 757176111 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 44 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Varenhorst, Christopher J Making speech recognition work on the web |
| title | Making speech recognition work on the web |
| title_full | Making speech recognition work on the web |
| title_fullStr | Making speech recognition work on the web |
| title_full_unstemmed | Making speech recognition work on the web |
| title_short | Making speech recognition work on the web |
| title_sort | making speech recognition work on the web |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/66814 |
| work_keys_str_mv | AT varenhorstchristopherj makingspeechrecognitionworkontheweb AT varenhorstchristopherj extendingthewamitoolkit AT varenhorstchristopherj extendingthewebaccessiblemultimodalinterfacetoolkit |