Melodic Corpus Analysis

Melodic Corpus Analysis is a systematic methodological framework within melodic analysis that involves the computational or qualitative examination of large collections of melodic data to identify structural, stylistic, or statistical patterns across a defined repertoire.

24

Publications

1.3K

Citations

53

Authors

31

Institutions

Publications per year

2017–2026

3

Authors

53

  1. DT
    David Temperley

    University of Rochester, United States

    3 publications · 341 citations

    3

    h-index

  2. TD
    Trevor de Clercq

    Middle Tennessee State University, United States

    2 publications · 319 citations

    2

    h-index

  3. RC
    Rafael Caro Repetto

    Universitat Pompeu Fabra, Spain

    2 publications · 34 citations

    2

    h-index

  4. XS
    Xavier Serra

    Universitat Pompeu Fabra, Spain

    2 publications · 34 citations

    2

    h-index

  5. GA
    Geraínt A. Wiggins

    Goldsmiths University of London, United Kingdom

    2 publications · 169 citations

    2

    h-index

1–5 of 53

Venues

  1. Journal of New Music Research

    6 publications · 434 citations

    6

    h-index

  2. Music Perception An Interdisciplinary Journal

    2 publications · 159 citations

    2

    h-index

  3. 1

    h-index

  4. Empirical Musicology Review

    EMR · 1 publications · 16 citations

    1

    h-index

  5. Scientific Reports

    1 publications · 53 citations

    1

    h-index

1–5