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Modeling the Difficulty of Saxophone Music

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10511618" target="_blank" >RIV/00216208:11320/25:10511618 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.5281/zenodo.17811476" target="_blank" >https://doi.org/10.5281/zenodo.17811476</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5281/zenodo.17811476" target="_blank" >10.5281/zenodo.17811476</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modeling the Difficulty of Saxophone Music

  • Original language description

    In learning music, difficulty is an important factor in choice of repertoire, choice of tempo, and structure of practice. These choices are typically done with the guidance of a teacher; however, not all learners have access to one. While piano and strings have had some attention devoted to automated difficulty estimation, wind instruments have so far been under-served. In this paper, we propose a method for estimating the difficulty of pieces for winds and implement it for the tenor saxophone. We take the cost-of-traversal approach, modelling the part as a sequence of transitions -- note pairs. We estimate transition costs from newly collected recordings of trill speeds, comparing representations of saxophone fingerings at various levels of expert input. We then compute and visualise the cost of the optimal path through the part, at a given tempo. While we present this model for the tenor saxophone, the same pipeline can be applied to other woodwinds, and our experiments show that with appropriate fe

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/EH23_025%2F0008691" target="_blank" >EH23_025/0008691: Human-centred AI for a Sustainable and Adaptive Society</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 26th Conference of the International Society for Music Information Retrieval

  • ISBN

    978-1-73272-995-7

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    747-754

  • Publisher name

    Zenodo

  • Place of publication

    Geneva, Switzerland

  • Event location

    Daejeon, Korea

  • Event date

    Sep 21, 2025

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article