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International Symposium on Computer Music Modeling and Retrieval

CMMR 2010: Exploring Music Contents pp 1–19Cite as

Probabilistic and Logic-Based Modelling of Harmony

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6684))

Abstract

Many computational models of music fail to capture essential aspects of the high-level musical structure and context, and this limits their usefulness, particularly for musically informed users. We describe two recent approaches to modelling musical harmony, using a probabilistic and a logic-based framework respectively, which attempt to reduce the gap between computational models and human understanding of music. The first is a chord transcription system which uses a high-level model of musical context in which chord, key, metrical position, bass note, chroma features and repetition structure are integrated in a Bayesian framework, achieving state-of-the-art performance. The second approach uses inductive logic programming to learn logical descriptions of harmonic sequences which characterise particular styles or genres. Each approach brings us one step closer to modelling music in the way it is conceptualised by musicians.

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Author information

Authors and Affiliations

  1. Centre for Digital Music, Queen Mary University of London, Mile End Rd, London, E1 4NS, UK

    Simon Dixon, Matthias Mauch & Amélie Anglade

Authors
  1. Simon Dixon
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  2. Matthias Mauch
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  3. Amélie Anglade
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Editor information

Editors and Affiliations

  1. CNRS - LMA, 31 Chemin Joseph Aiguier, 13402, Marseille Cedex 20, France

    Sølvi Ystad

  2. CNRS-INCM, 31 Chemin Joseph Aiguier, 13402, Marseille Cedex 20, France

    Mitsuko Aramaki

  3. CNRS-LMA, 31 Chemin Joseph Aiguier, 13402, Marseille Cedex 20, France

    Richard Kronland-Martinet

  4. Aalborg University Esbjerg, Niels Bohr Vej 8, 6700, Esbjerg, Denmark

    Kristoffer Jensen

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© 2011 Springer-Verlag Berlin Heidelberg

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Dixon, S., Mauch, M., Anglade, A. (2011). Probabilistic and Logic-Based Modelling of Harmony. In: Ystad, S., Aramaki, M., Kronland-Martinet, R., Jensen, K. (eds) Exploring Music Contents. CMMR 2010. Lecture Notes in Computer Science, vol 6684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23126-1_1

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  • DOI: https://doi.org/10.1007/978-3-642-23126-1_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23125-4

  • Online ISBN: 978-3-642-23126-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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