Learning Internet from tone of voice
Name
56960644-MIT.pdf
Description
Full printable version
Size
3.89 MB
Format
Adobe PDF
Checksum (MD5)
f740d9f19ec8ec2531619819b275fb8d
Author(s)
Cochran, Jennie E. (Jennie Eleanor), 1981-
Advisor(s)
Bruce Blumberg.
Date Issued
2004
Publisher
Massachusetts Institute of Technology
Abstract
The ability to discern information from the tone of voice that a person uses is an important part of social interactions. Synthetic characters that can interact naturally with humans could take advantage of this information if they could discern it. I propose that a synthetic character with a vocalization affect classifier and the ability to learn associations can use the tone of voice of the person interacting with her to predict what the person is going to do. In this approach the classifier learns to distinguish tones in real time allowing the character to adapt to new tones. I describe the implementation of the system, called Minimus T.O. Mouse, and its extensions from previous affect classifying systems and previous synthetic characters.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
Includes bibliographical references (leaf 56).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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