A computational model of difficulty for the saxophone
| Thesis title in Czech: | Výpočetní model obtížnosti pro saxofon |
|---|---|
| Thesis title in English: | A computational model of difficulty for the saxophone |
| Key words: | výpočetní muzikologie|výuka hudby|weimar jazz database |
| English key words: | computational musicology|music pedagogy|weimar jazz database |
| Academic year of topic announcement: | 2024/2025 |
| Thesis type: | Bachelor's thesis |
| Thesis language: | angličtina |
| Department: | Institute of Formal and Applied Linguistics (32-UFAL) |
| Supervisor: | Mgr. Jan Hajič, Ph.D. |
| Author: | Bc. Šimon Libřický - assigned and confirmed by the Study Dept. |
| Date of registration: | 12.03.2025 |
| Date of assignment: | 12.03.2025 |
| Confirmed by Study dept. on: | 12.03.2025 |
| Date and time of defence: | 20.06.2025 09:00 |
| Date of electronic submission: | 06.05.2025 |
| Date of submission of printed version: | 06.05.2025 |
| Date of proceeded defence: | 20.06.2025 |
| Opponents: | Mgr. Tomáš Musil |
| Guidelines |
| 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. |
| References |
| 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. |