Modeling the Difficulty of Saxophone Music
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Modeling the Difficulty of Saxophone Music
Popis výsledku v původním jazyce
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
Název v anglickém jazyce
Modeling the Difficulty of Saxophone Music
Popis výsledku anglicky
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
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
<a href="/cs/project/EH23_025%2F0008691" target="_blank" >EH23_025/0008691: AI zaměřená na člověka pro udržitelnou a adaptabilní společnost</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the 26th Conference of the International Society for Music Information Retrieval
ISBN
978-1-73272-995-7
ISSN
—
e-ISSN
—
Počet stran výsledku
8
Strana od-do
747-754
Název nakladatele
Zenodo
Místo vydání
Geneva, Switzerland
Místo konání akce
Daejeon, Korea
Datum konání akce
21. 9. 2025
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—