Captioning Technology

Captioning Technology is a computational methodology that automatically generates textual representations of spoken or auditory content in real-time or post-production contexts, distinguished by its integration of speech recognition, natural language processing, and temporal synchronization to support accessibility and comprehension in multimedia environments.

186

Publications

8K

Citations

540

Authors

161

Institutions

Publications per year

2017–2026

77

Authors

540

  1. JP
    Jeffrey P. Bigham

    Carnegie Mellon University, United States

    10 publications · 515 citations

    10

    h-index

  2. MH
    Matt Huenerfauth

    Rochester Institute of Technology, United States

    10 publications · 393 citations

    10

    h-index

  3. RK
    Raja Kushalnagar

    Gallaudet University, United States

    10 publications · 578 citations

    10

    h-index

  4. SS
    Sajad Shirali-Shahreza

    Sharif University of Technology, Iran

    11 publications · 225 citations

    9

    h-index

  5. WS
    Walter S. Lasecki

    University of Michigan, United States

    8 publications · 482 citations

    8

    h-index

1–5 of 540

Venues

  1. Multimedia Tools and Applications

    5 publications · 99 citations

    5

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 189 citations

    4

    h-index

  3. American annals of the deaf

    AAD · 4 publications · 92 citations

    4

    h-index

  4. The Association for Computational Linguistics

    4 publications · 149 citations

    4

    h-index

  5. ACM Transactions on Accessible Computing

    TACCESS · 3 publications · 141 citations

    3

    h-index

1–5