Music Notation Recognition

Music Notation Recognition is a computational method in Music Technology that enables the automatic transcription of visually represented musical symbols from scanned sheet music or handwritten scores into machine-readable musical data through image processing and pattern recognition techniques.

56

Publications

1.8K

Citations

108

Authors

54

Institutions

Publications per year

2017–2026

14

Variants

OmrOptical Music Recognition

Authors

108

  1. JC
    Jorge Calvo-Zaragoza

    University of Alicante, Spain

    12 publications · 368 citations

    11

    h-index

  2. IF
    Ichiro Fujinaga

    McGill University, Canada

    5 publications · 150 citations

    5

    h-index

  3. EV
    Enrique Vidal

    Universitat Politècnica de València, Spain

    4 publications · 130 citations

    4

    h-index

  4. AH
    Alejandro H. Toselli

    Universitat Politècnica de València, Spain

    4 publications · 130 citations

    4

    h-index

  5. DB
    Dorothea Blostein

    Queen's University, Canada

    3 publications · 103 citations

    3

    h-index

1–5 of 108

Venues

  1. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 3 publications · 64 citations

    3

    h-index

  2. Journal of New Music Research

    3 publications · 85 citations

    3

    h-index

  3. Applied Sciences

    3 publications · 116 citations

    3

    h-index

  4. Pattern Recognition Letters

    2 publications · 83 citations

    2

    h-index

  5. Pattern Analysis and Applications

    2 publications · 41 citations

    2

    h-index

1–5