Multimodal Quality Evaluation

Multimodal Quality Evaluation is a comprehensive assessment framework that integrates multiple modalities—such as audio, video, and textual signals—to systematically analyze and quantify the quality of dubbed audiovisual content by accounting for the intermodality congruence and synchronization specific to dubbing.

55

Publications

3.2K

Citations

180

Authors

78

Institutions

Publications per year

2017–2026

23

Authors

180

  1. SJ
    Satu Jumisko‐Pyykkö

    4 publications · 97 citations

    4

    h-index

  2. SM
    Sebastian Möller

    Technische Universität Berlin, Germany

    4 publications · 99 citations

    4

    h-index

  3. UR
    Ulrich Reiter

    Norwegian University of Science and Technology, Norway

    3 publications · 36 citations

    3

    h-index

  4. KY
    Kazuhisa Yamagishi

    NTT (Japan), Japan

    3 publications · 82 citations

    3

    h-index

  5. WC
    Willy Chung

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 968 citations

    2

    h-index

1–5 of 180

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 408 citations

    3

    h-index

  2. Multimedia Tools and Applications

    2 publications · 42 citations

    2

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. Obstetrics & Gynecology Science

    1 publications · 12 citations

    1

    h-index

1–5