3 papers
cs.CL2026
HumMusQA: A Human-written Music Understanding QA Benchmark Dataset
Benno Weck, Pablo Puentes, Andrea Poltronieri +2
The evaluation of music understanding in Large Audio-Language Models (LALMs) requires a rigorously defined benchmark that truly tests whether models can perceive and interpret musi…
cs.SD2025
Enhancing Neural Audio Fingerprint Robustness to Audio Degradation for Music Identification
R. Oguz Araz, Guillem Cortès-Sebastià, Emilio Molina +4
Audio fingerprinting (AFP) allows the identification of unknown audio content by extracting compact representations, termed audio fingerprints, that are designed to remain robust a…
cs.SD2025
Supervised contrastive learning from weakly-labeled audio segments for musical version matching
Joan Serrà, R. Oguz Araz, Dmitry Bogdanov +1
Detecting musical versions (different renditions of the same piece) is a challenging task with important applications. Because of the ground truth nature, existing approaches match…