3 papers
cs.SD2025
Difficulty-Controlled Simplification of Piano Scores with Synthetic Data for Inclusive Music Education
Pedro Ramoneda, Emilia Parada-Cabaleiro, Dasaem Jeong +1
Despite its potential, AI advances in music education are hindered by proprietary systems that limit the democratization of technology in this domain. In particular, AI-driven musi…
cs.SD2024
The Role of Large Language Models in Musicology: Are We Ready to Trust the Machines?
Pedro Ramoneda, Emilia Parada-Cabaleiro, Benno Weck +1
In this work, we explore the use and reliability of Large Language Models (LLMs) in musicology. From a discussion with experts and students, we assess the current acceptance and co…
cs.SD2024
Towards Explainable and Interpretable Musical Difficulty Estimation: A Parameter-efficient Approach
Pedro Ramoneda, Vsevolod Eremenko, Alexandre D'Hooge +2
Estimating music piece difficulty is important for organizing educational music collections. This process could be partially automatized to facilitate the educator's role. Neverthe…