Speech-to-video Alignment

Speech-to-Video Alignment is a computational framework that establishes temporal correspondence between spoken speech signals and the visual articulatory movements in video sequences, specifically by synchronizing phonetic content in audio with the attendant lip motions in facial video.

57

Publications

3.1K

Citations

225

Authors

80

Institutions

Publications per year

2017–2026

30

Authors

225

  1. HP
    Hanspeter Pfister

    Harvard University Press, United States

    3 publications · 319 citations

    3

    h-index

  2. KS
    Kalyan Sunkavalli

    Adobe Systems (United States), United States

    3 publications · 319 citations

    3

    h-index

  3. MK
    Micah K. Johnson

    Massachusetts Institute of Technology, United States

    3 publications · 319 citations

    3

    h-index

  4. WM
    Wojciech Matusik

    Massachusetts Institute of Technology, United States

    3 publications · 319 citations

    3

    h-index

  5. DV
    Daniel Vlasic

    Massachusetts Institute of Technology, United States

    3 publications · 319 citations

    3

    h-index

1–5 of 225

Venues

  1. IEEE Transactions on Multimedia

    2 publications · 50 citations

    2

    h-index

  2. 2

    h-index

  3. Pattern Recognition

    2 publications · 147 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 43 citations

    2

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 180 citations

    2

    h-index

1–5