Making speech recognition work on the web

Author(s)
Varenhorst, Christopher J
Thumbnail
DownloadFull printable version (3.002Mb)
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.
Terms of use
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
Metadata
Show full item record
Abstract
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
2011
URI
http://hdl.handle.net/1721.1/66814
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.
Collections