Speech-to-animation Mapping
Speech-to-Animation Mapping is a computational framework that specifies the transformation of spoken language inputs into temporally synchronized facial animation sequences, distinguishing itself by establishing explicit correspondence between phonetic or prosodic features and articulatory facial movements.
111
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6.7K
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323
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145
Institutions
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2017–2026
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Face transfer with multilinear models
Daniel Vlasic, Matthew Brand, Hanspeter Pfister et al. · ACM Transactions on Graphics · 2005 · 579 citations · Full text
A deep learning approach for generalized speech animation
Sarah Taylor, Tae‐Hwan Kim, Yisong Yue et al. · ACM Transactions on Graphics · 2017 · 309 citations · Full text
Trainable videorealistic speech animation
Tony Ezzat, Gadi Geiger, Tomaso Poggio · 2002 · 306 citations · Full text
A parametric model for human faces.
Frederic I. Parke · Defense Technical Information Center (DTIC) · 1974 · 273 citations
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Massachusetts Institute of Technology
Cambridge, United States
7 h-index
15 publications
2.9K citations
Tsinghua University
Beijing, China
6 h-index
14 publications
658 citations
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
13 publications
694 citations
Microsoft Research Asia (China)
Beijing, China
5 h-index
18 publications
522 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
8 publications
255 citations
Rutgers Sexual and Reproductive Health and Rights
Utrecht, Netherlands
4 h-index
15 publications
1.2K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
4 h-index
4 publications
214 citations
Koç University
Istanbul, Türkiye
4 h-index
10 publications
438 citations
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TOG · 8 publications · 1.6K citations
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3 publications · 123 citations
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TVCG · 3 publications · 146 citations
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3 publications · 254 citations
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2 publications · 128 citations
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