Audio-visual Speech Recognition

Audio-Visual Speech Recognition is a computational framework that integrates auditory and visual speech signals to improve speech recognition accuracy by leveraging temporal and cross-modal correspondences between lip movements and acoustic patterns.

902

Publications

59.3K

Citations

2.1K

Authors

660

Institutions

Publications per year

2017–2026

316

Variants

Avsr

Authors

2.1K

  1. CN
    C. Neti

    IBM Research - Thomas J. Watson Research Center, United States

    32 publications · 2.3K citations

    25

    h-index

  2. GP
    Gerasimos Potamianos

    IBM Research - Thomas J. Watson Research Center, United States

    36 publications · 1.7K citations

    25

    h-index

  3. MP
    Maja Pantić

    Imperial College London, United Kingdom

    17 publications · 942 citations

    13

    h-index

  4. SP
    Stavros Petridis

    Imperial College London, United Kingdom

    17 publications · 942 citations

    13

    h-index

  5. AZ
    Andrew Zisserman

    University of Oxford, United Kingdom

    11 publications · 3.8K citations

    11

    h-index

1–5 of 2.1K

Venues

  1. IEEE Transactions on Multimedia

    19 publications · 1.9K citations

    17

    h-index

  2. arXiv (Cornell University)

    Repository · 28 publications · 985 citations

    16

    h-index

  3. IEEE/ACM Transactions on Audio Speech and Language Processing

    TASLP · 17 publications · 686 citations

    15

    h-index

  4. Speech Communication

    16 publications · 596 citations

    13

    h-index

  5. The Journal of the Acoustical Society of America

    JASA · 16 publications · 2.3K citations

    13

    h-index

1–5