@Article{          couturier.ea2022-dataset,
    author       = {Couturier, Louis and Bigo, Louis and Leve, Florence},
    year         = {2022},
    title        = {A {Dataset} of {Symbolic} {Texture} {Annotations} in
                   {Mozart} {Piano} {Sonatas}},
    copyright    = {Creative Commons Attribution 4.0 International, Open
                   Access},
    url          = {https://zenodo.org/record/7316712},
    doi          = {10.5281/ZENODO.7316712},
    abstract     = {Musical scores are generally analyzed under different
                   aspects, notably melody, harmony, rhythm, but also through
                   their texture, although this last concept is arguably more
                   delicate to formalize. Symbolic texture depicts how
                   sounding components are organized in the score. It
                   outlines the density of elements, their heterogeneity,
                   role and interactions. In this paper, we release a set of
                   manual annotations for each bar of 9 movements among early
                   piano sonatas by W. A. Mozart, totaling 1164 labels that
                   follow a syntax dedicated to piano score texture. A
                   quantitative analysis of the annotations highlights some
                   characteristic textural features in the corpus. In
                   addition, we present and release the implementation of
                   low-level descriptors of symbolic texture, that are
                   preliminary experimented for textural elements prediction.
                   The annotations and the descriptors offer promising
                   applications in computer-assisted music analysis and
                   composition.},
    language     = {en},
    urldate      = {2023-02-23},
    month        = dec,
    note         = {Publisher: Zenodo},
    keywords     = {ismir, ismir2022}
}

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