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

Publications

6.7K

Citations

323

Authors

145

Institutions

Publications per year

2017–2026

33

Authors

323

  1. HS
    Heung‐Yeung Shum

    Microsoft Research Asia (China), China

    4 publications · 114 citations

    4

    h-index

  2. TS
    Thomas S. Huang

    University of Illinois Urbana-Champaign, United States

    4 publications · 146 citations

    4

    h-index

  3. PH
    Pengyu Hong

    Brandeis University, United States

    4 publications · 146 citations

    4

    h-index

  4. TE
    Tony Ezzat

    Massachusetts Institute of Technology, United States

    4 publications · 542 citations

    4

    h-index

  5. EE
    Engin Erzin

    Koç University, Türkiye

    4 publications · 168 citations

    4

    h-index

1–5 of 323

Venues

  1. ACM Transactions on Graphics

    TOG · 8 publications · 1.6K citations

    8

    h-index

  2. IEEE Transactions on Multimedia

    3 publications · 123 citations

    3

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 3 publications · 146 citations

    3

    h-index

  4. Computer Graphics Forum

    3 publications · 254 citations

    3

    h-index

  5. IEEE Computer Graphics and Applications

    2 publications · 128 citations

    2

    h-index

1–5