Audio-responsive Visualization

Audio-Responsive Visualization is a computational method that generates dynamic visual content in direct response to audio input signals, distinguished by its real-time mapping of acoustic features—such as amplitude, frequency, and rhythm—onto visual parameters including motion, color, and form, thereby synchronizing visual output with auditory input within interactive or immersive environments.

9

Publications

438

Citations

27

Authors

14

Institutions

Publications per year

2017–2026

4

Authors

27

  1. MP
    Michael Pacheco

    Queen's University, Canada

    1 publications · 12 citations

    1

    h-index

  2. RH
    Ryuji Hirayama

    Chiba University, Japan

    1 publications · 326 citations

    1

    h-index

  3. VS
    V.C.L. Salvador

    Universidade de São Paulo, Brazil

    1 publications · 12 citations

    1

    h-index

  4. JC
    Jia‐Kai Chou

    University of California, Davis, United States

    1 publications · 10 citations

    1

    h-index

  5. CO
    Charles O’Neill

    University of Alabama, United States

    1 publications · 10 citations

    1

    h-index

1–5 of 27

Venues

  1. Nature

    1 publications · 326 citations

    1

    h-index

  2. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 1 publications · 15 citations

    1

    h-index

  3. The Physics Teacher

    1 publications · 26 citations

    1

    h-index

  4. Journal of Visualization

    1 publications · 11 citations

1–4