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Musical Variation and Improvisation Based on Multi-resolution Representations

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Music, Mind, and Embodiment (CMMR 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9617))

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Abstract

Musical creativity is one of the show pieces of Artificial Intelligence and during the last decades, many paths have been explored to capture musical style and to generate new music. One of the approaches exploits the similarities between music and language. In this paper, Fluid Construction Grammar, a state-of-the-art computational grammar is used to parse/analyse an existing piece, in order to create a variation on the song and generate an improvisation in the same style, using the same bi-directional grammar. A novel multi-resolution time representation to model musical melodies is presented.

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Acknowledgements

This research has been supported by the EU FP7 PRAISE project #318770.

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Authors and Affiliations

  1. Artificial Intelligence Lab, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussel, Belgium

    Johan Loeckx

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  1. Johan Loeckx
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Correspondence to Johan Loeckx .

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Editors and Affiliations

  1. CNRS - LMA, Marseille Cedex 20, France

    Richard Kronland-Martinet

  2. CNRS - LMA, Marseille, France

    Mitsuko Aramaki

  3. CNRS - LMA, Marseille, France

    Sølvi Ystad

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Loeckx, J. (2016). Musical Variation and Improvisation Based on Multi-resolution Representations. In: Kronland-Martinet, R., Aramaki, M., Ystad, S. (eds) Music, Mind, and Embodiment. CMMR 2015. Lecture Notes in Computer Science(), vol 9617. Springer, Cham. https://doi.org/10.1007/978-3-319-46282-0_16

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  • DOI: https://doi.org/10.1007/978-3-319-46282-0_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46281-3

  • Online ISBN: 978-3-319-46282-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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