4 papers
Can LLMs understand LilyPond? A benchmark for symbolic music generation and understanding
Matteo Spanio, Mohammad Torabi, Andrea Poltronieri +1
Symbolic music evaluation for large language models remains fragmented across representations, datasets, and metrics. We introduce LilyBench, a LilyPond-based benchmark that jointl…
Evaluating Disentangled Representations for Controllable Music Generation
Laura Ibáñez-MartÃnez, Chukwuemeka Nkama, Andrea Poltronieri +2
Recent approaches in music generation rely on disentangled representations, often labeled as structure and timbre or local and global, to enable controllable synthesis. Yet the und…
From Discord to Harmony: Decomposed Consonance-based Training for Improved Audio Chord Estimation
Andrea Poltronieri, Xavier Serra, MartÃn Rocamora
Audio Chord Estimation (ACE) holds a pivotal role in music information research, having garnered attention for over two decades due to its relevance for music transcription and ana…
Semantic Web and Creative AI -- A Technical Report from ISWS 2023
Raia Abu Ahmad, Reham Alharbi, Roberto Barile +74
The International Semantic Web Research School (ISWS) is a week-long intensive program designed to immerse participants in the field. This document reports a collaborative effort p…