A computational model of difficulty for the saxophone
Název práce v češtině: | Výpočetní model obtížnosti pro saxofon |
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Název v anglickém jazyce: | A computational model of difficulty for the saxophone |
Klíčová slova: | výpočetní muzikologie|výuka hudby|weimar jazz database |
Klíčová slova anglicky: | computational musicology|music pedagogy|weimar jazz database |
Akademický rok vypsání: | 2024/2025 |
Typ práce: | bakalářská práce |
Jazyk práce: | angličtina |
Ústav: | Ústav formální a aplikované lingvistiky (32-UFAL) |
Vedoucí / školitel: | Mgr. Jan Hajič, Ph.D. |
Řešitel: | Bc. Šimon Libřický - zadáno a potvrzeno stud. odd. |
Datum přihlášení: | 12.03.2025 |
Datum zadání: | 12.03.2025 |
Datum potvrzení stud. oddělením: | 12.03.2025 |
Datum a čas obhajoby: | 20.06.2025 09:00 |
Datum odevzdání elektronické podoby: | 06.05.2025 |
Datum odevzdání tištěné podoby: | 06.05.2025 |
Datum proběhlé obhajoby: | 20.06.2025 |
Oponenti: | Mgr. Tomáš Musil |
Zásady pro vypracování |
Computational models of musical difficulty have the potential to become partners to music teachers and musicologists around the world. They can help personalise repertoire for the didactic needs of individual students, and bring insight into the interaction between performance choices and technical challenges. However, research has been mostly piano-centric so far, neglecting other instrument groups.
The objective of this experimental work is to design and evaluate a computational model for measuring the difficulty of compositions for the tenor saxophone, a popular wind instrument especially in jazz and related genres. The student will design the model, parametrise it based on real-world data, and perform a pilot experiment to evaluate how the model performs in relation to e.g. jazz solos from the Weimar Jazz Database or other sources. |
Seznam odborné literatury |
Ramoneda, N. C. Tamer, V. Eremenko, X. Serra, and M. Miron, “Score difficulty analysis for piano performance education based on fingering,” in ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, pp. 201–205.
I. Sayegh, “Fingering for string instruments with the optimum path paradigm,” Computer Music Journal, vol. 13, no. 3, pp. 76–84, 1989. [Online]. Available: http://www.jstor.org/stable/3680014 D. Radicioni, L. Anselma, and V. Lombardo, “A segmentation-based prototype to compute string instruments fingering,” pp. 15–18, 05 2004. |