Spectral Visualization

Spectral Visualization is a method in the field of Visual Music that transforms frequency-domain representations of sound into visual forms, distinguishing itself by mapping spectral data such as amplitude, frequency, and harmonic content to dynamic visual parameters like color, shape, and motion.

37

Publications

4.4K

Citations

118

Authors

63

Institutions

Publications per year

2017–2026

4

Authors

118

  1. MS
    Mark S. Drew

    Simon Fraser University, Canada

    1 publications · 20 citations

    1

    h-index

  2. PC
    Peter Ciuha

    University of Ljubljana, Slovenia

    1 publications · 45 citations

    1

    h-index

  3. PC
    Pablo Conesa

    Centro Nacional de Biotecnología, Spain

    1 publications · 14 citations

    1

    h-index

  4. MA
    ML Amundadottir

    École Polytechnique Fédérale de Lausanne, Switzerland

    1 publications · 57 citations

    1

    h-index

  5. BB
    Benjamin B. Perston

    University of Canterbury, New Zealand

    1 publications · 20 citations

    1

    h-index

1–5 of 118

Venues

  1. Color and Imaging Conference

    CIC · 2 publications · 27 citations

    2

    h-index

  2. The Journal of the Abraham Lincoln Association

    2 publications · 105 citations

    2

    h-index

  3. Perception & Psychophysics

    1 publications · 24 citations

    1

    h-index

  4. Contemporary Music Review

    1 publications · 100 citations

    1

    h-index

  5. The Journal of the Acoustical Society of America

    JASA · 1 publications · 16 citations

    1

    h-index

1–5