Music Segmentation

Music Segmentation is a computational method in the field of Music Information Retrieval that identifies temporally coherent sections within a musical signal or score by analyzing structural, harmonic, rhythmic, or timbral patterns to delineate boundaries between musically meaningful segments.

364

Publications

17.7K

Citations

651

Authors

259

Institutions

Publications per year

2017–2026

50

Authors

651

  1. MS
    M. Sandler

    Queen Charlotte's and Chelsea Hospital, United Kingdom

    13 publications · 640 citations

    12

    h-index

  2. AK
    Anssi Klapuri

    12 publications · 811 citations

    12

    h-index

  3. JP
    Juan Pablo Bello

    New York University, United States

    11 publications · 316 citations

    11

    h-index

  4. GP
    Geoffroy Peeters

    Institut de Recherche et Coordination Acoustique Musique, France

    10 publications · 403 citations

    10

    h-index

  5. MM
    Meinard Müller

    Max Planck Institute for Informatics, Germany

    9 publications · 521 citations

    9

    h-index

1–5 of 651

Venues

  1. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 27 publications · 905 citations

    17

    h-index

  2. Journal of New Music Research

    16 publications · 595 citations

    13

    h-index

  3. 11

    h-index

  4. International Symposium/Conference on Music Information Retrieval

    Conference · 7 publications · 199 citations

    7

    h-index

  5. Journal of the Audio Engineering Society

    AES · 6 publications · 153 citations

    6

    h-index

1–5