Making speech recognition work on the web
Name
757176111-MIT.pdf
Description
Full printable version
Size
3 MB
Format
Adobe PDF
Checksum (MD5)
8f2e0f98e9b3a556ff8ebfaece26a20b
Author(s)
Varenhorst, Christopher J
Advisor(s)
James R. Glass and Scott Cyphers.
Alternative Title
Extending the WAMI toolkit
Extending the Web-Accessible Multimodal Interface toolkit
Date Issued
2011
Publisher
Massachusetts Institute of Technology
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).
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
permission. See provided URL for inquiries about permission.
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