3 papers
cs.SD2026
From Prompting to Describing: A Cross-Cultural Study of Language for AI-Generated Music
Sangheon Park, Claire Arthur
Text-to-music (TTM) generation systems allow users to create music through natural language prompts, yet it is unclear whether the descriptive language used to prompt aligns with d…
cs.SD2025
Survey on the Evaluation of Generative Models in Music
Alexander Lerch, Claire Arthur, Nick Bryan-Kinns +3
Research on generative systems in music has seen considerable attention and growth in recent years. A variety of attempts have been made to systematically evaluate such systems. We…
cs.IT2024
Striking a New Chord: Neural Networks in Music Information Dynamics
Farshad Jafari, Claire Arthur
Initiating a quest to unravel the complexities of musical aesthetics through the lens of information dynamics, our study delves into the realm of musical sequence modeling, drawing…