3 papers
cs.SD2026
MusGU+: Toward a Musician-Centered Evaluation Framework and Discovery Tool for Generative Music AI
Laura Ibáñez-Martínez, Roser Batlle-Roca, Xavier Serra +1
Generative music systems are increasingly presented as tools that democratize music creation, yet their practical suitability for musicians remains underexplored. Prior work includ…
cs.SD2026
Evaluating Disentangled Representations for Controllable Music Generation
Laura Ibáñez-Martínez, 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…
cs.SD2025
MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI
Roser Batlle-Roca, Laura Ibáñez-Martínez, Xavier Serra +2
Since 2023, generative AI has rapidly advanced in the music domain. Despite significant technological advancements, music-generative models raise critical ethical challenges, inclu…