Error Detection In Singing

Error Detection in Singing is a diagnostic framework within aural skills assessment that identifies deviations between a singer’s intended and produced pitches, rhythms, or expressive elements through perceptual or analytical means.

12

Publications

762

Citations

33

Authors

19

Institutions

Publications per year

2017–2026

1

Authors

33

  1. GW
    Graham Welch

    University College London, United Kingdom

    2 publications · 111 citations

    2

    h-index

  2. SD
    Simone Dalla Bella

    International Laboratory for Brain, Music and Sound Research, Canada

    2 publications · 239 citations

    2

    h-index

  3. DA
    Donald A. Robin

    University of Iowa, United States

    1 publications · 53 citations

    1

    h-index

  4. SH
    Sean Hutchins

    Université de Montréal, Canada

    1 publications · 27 citations

    1

    h-index

  5. JN
    Janice N. Killian

    Texas Tech University, United States

    1 publications · 39 citations

    1

    h-index

1–5 of 33

Venues

  1. Journal of Research in Music Education

    2 publications · 100 citations

    2

    h-index

  2. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 2 publications · 88 citations

    2

    h-index

  3. 1

    h-index

  4. Psychology of Music

    1 publications · 84 citations

    1

    h-index

  5. Journal of Voice

    1 publications · 54 citations

    1

    h-index

1–5