A speech-enabled system for website bookmarking
Name
413972628-MIT.pdf
Description
Full printable version
Size
24.11 MB
Format
Adobe PDF
Checksum (MD5)
e546636e72b3e2c42d83ad3b8146a690
Author(s)
Sun, Xin, M. Eng. Massachusetts Institute of Technology
Advisor(s)
James R. Glass.
Date Issued
2008
Publisher
Massachusetts Institute of Technology
Abstract
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.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.
Includes bibliographical references (p. 75-76).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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copyright. They may be viewed from this source for any purpose, but
reproduction or distribution in any format is prohibited without written
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