A speech-enabled system for website bookmarking
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2009
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| Online Access: | http://hdl.handle.net/1721.1/46525 |
| _version_ | 1811069604645044224 |
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| author | Sun, Xin, M. Eng. Massachusetts Institute of Technology |
| author2 | James R. Glass. |
| author_facet | James R. Glass. Sun, Xin, M. Eng. Massachusetts Institute of Technology |
| author_sort | Sun, Xin, M. Eng. Massachusetts Institute of Technology |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008. |
| first_indexed | 2024-09-23T08:13:00Z |
| format | Thesis |
| id | mit-1721.1/46525 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T08:13:00Z |
| publishDate | 2009 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/465252019-04-09T17:21:31Z A speech-enabled system for website bookmarking Sun, Xin, M. Eng. Massachusetts Institute of Technology James R. Glass. 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, 2008. Includes bibliographical references (p. 75-76). In recent years, much advancement has been made in both search and speech technology. The former seeks to organize and retrieve the ever-growing amount of online information efficiently, while the latter strives to increase mobility and accessibility in multimodal devices. Naturally, searching via spoken language will become ubiquitous in the near future. As a step towards realizing this goal, this thesis focuses on the simpler problem of bookmarking and retrieving websites via speech. With data collected from a user study, we gained insight on how to predict speech tags and query utterances based on a webpage's content. We then investigate and evaluate several heuristics for tagging and retrieving bookmarks with the objectives of maximizing recognition accuracy and retrieval rates. Finally, the progress culminates in a prototype Firefox extension that encapsulates an end-to-end system demonstrating speech integration into the bookmarking capabilities of the Firefox browser. by Xin Sun. M.Eng. 2009-08-26T16:42:18Z 2009-08-26T16:42:18Z 2008 2008 Thesis http://hdl.handle.net/1721.1/46525 413972628 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 76 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Sun, Xin, M. Eng. Massachusetts Institute of Technology A speech-enabled system for website bookmarking |
| title | A speech-enabled system for website bookmarking |
| title_full | A speech-enabled system for website bookmarking |
| title_fullStr | A speech-enabled system for website bookmarking |
| title_full_unstemmed | A speech-enabled system for website bookmarking |
| title_short | A speech-enabled system for website bookmarking |
| title_sort | speech enabled system for website bookmarking |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/46525 |
| work_keys_str_mv | AT sunxinmengmassachusettsinstituteoftechnology aspeechenabledsystemforwebsitebookmarking AT sunxinmengmassachusettsinstituteoftechnology speechenabledsystemforwebsitebookmarking |