Making speech recognition work on the web
Author(s)
Varenhorst, Christopher J
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Alternative title
Extending the WAMI toolkit
Extending the Web-Accessible Multimodal Interface toolkit
Other Contributors
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Advisor
James R. Glass and Scott Cyphers.
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Metadata
Show full item recordAbstract
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.
Description
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).
Date issued
2011Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer SciencePublisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.