© 2015

Mathematics and Computation in Music

5th International Conference, MCM 2015, London, UK, June 22-25, 2015, Proceedings

  • Tom Collins
  • David Meredith
  • Anja Volk
Conference proceedings MCM 2015

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9110)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9110)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Notation and Representation

    1. Front Matter
      Pages 1-1
    2. Florent Jacquemard, Pierre Donat-Bouillud, Jean Bresson
      Pages 3-15
    3. Liang Chen, Rong Jin, Christopher Raphael
      Pages 16-26
  3. Music Generation

    1. Front Matter
      Pages 27-27
    2. Jaime Arias, Myriam Desainte-Catherine, Carlos Olarte, Camilo Rueda
      Pages 29-41
    3. Raymond Whorley, Darrell Conklin
      Pages 64-70
  4. Patterns

    1. Front Matter
      Pages 71-71
    2. Marcelo E. Rodríguez-López, Anja Volk
      Pages 73-84
    3. Mathieu Giraud, Sławek Staworko
      Pages 85-96
    4. Andrew J. Milne, David Bulger, Steffen A. Herff, William A. Sethares
      Pages 97-108
    5. Christopher Wm. White
      Pages 115-121
    6. Dimos Makris, Maximos Kaliakatsos-Papakostas, Emilios Cambouropoulos
      Pages 128-134
  5. Performance

    1. Front Matter
      Pages 135-135
    2. Matteo Balliauw, Dorien Herremans, Daniel Palhazi Cuervo, Kenneth Sörensen
      Pages 149-160

About these proceedings


This book constitutes the thoroughly refereed proceedings of the 5th International Conference on Mathematics and Computation in Music, MCM 2015, held in London, UK, in June 2015. The 24 full papers and 14 short papers presented were carefully reviewed and selected from 64 submissions. The papers feature research that combines mathematics or computation with music theory, music analysis, composition, and performance. They are organized in topical sections on notation and representation, music generation, patterns, performance, similarity and contrast, post-tonal music analysis, geometric approaches, deep learning, and scales.


Developing variation Discrete Fourier transform Geometrics approaches to music Hierarchical structure in music Markov model Microtonal Music notation and representation Musical patterns Musical performance theory and analysis Musical scales and tuning Musical similarity and contrast Operations research in music Post-tonal music analysis Time-span tree Transformational spaces

Editors and affiliations

  • Tom Collins
    • 1
  • David Meredith
    • 2
  • Anja Volk
    • 3
  1. 1.De Montfort UniversityLeicesterUnited Kingdom
  2. 2.Aalborg UniversityAalborgDenmark
  3. 3.Utrecht UniversityUtrechtThe Netherlands

Bibliographic information