2026-09-18T22:52:23Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/664162022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
James Glass and D. Scott Cyphers.
Fu, Jieyun
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2011-10-17T21:23:36Z
2011-10-17T21:23:36Z
2011
2011
http://hdl.handle.net/1721.1/66416
755091768
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. 48-49).
We optimize the synthesis procedure of a videorealistic speech animation system [7] to achieve real-time speech animation synthesis. A synthesis rate must be high enough for real-time video streaming for speech animation systems to be viable in industry and deployed as applications for user machine interactions and real-time dialogue systems. In this thesis we apply various approaches to develop a parallel system that is capable of synthesizing real-time videos and is adaptable to various distributed computing architectures. After optimizing the synthesis algorithm, we integrate a videorealistic speech animation system, called Mary101, with a speech synthesizer, a speech recognizer, and a RTMP server to implement a web-based text to speech animation system.
by Jieyun Fu.
M.Eng.
49 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Real-time speech animation system
Real-time videorealistic speech animation system
Thesis
application/pdf
Publication
unknown
unknown
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<Abstract>We optimize the synthesis procedure of a videorealistic speech animation system [7] to achieve real-time speech animation synthesis. A synthesis rate must be high enough for real-time video streaming for speech animation systems to be viable in industry and deployed as applications for user machine interactions and real-time dialogue systems. In this thesis we apply various approaches to develop a parallel system that is capable of synthesizing real-time videos and is adaptable to various distributed computing architectures. After optimizing the synthesis algorithm, we integrate a videorealistic speech animation system, called Mary101, with a speech synthesizer, a speech recognizer, and a RTMP server to implement a web-based text to speech animation system.</Abstract>
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