SOURCE-LINKED INTELLIGENCE
MusGU+: Toward a Musician-Centered Evaluation Framework and Discovery Tool for Generative Music AI
Generative music systems are increasingly presented as tools that democratize music creation, yet their practical suitability for musicians remains underexplored. Prior work includes openness-focused evaluation frameworks, such as MusGO (Music-Generative Open AI), as well as qualitative studies of musicians' experiences with generative systems. However, these approaches do not support systematic comparison or early-stage discovery of models for creative use. Motivated by such limitations, we introduce MusGU+, a musician-centered evaluation framework organized around three dimensions: Adaptabil
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-31T15:12:51.000Z
First collected: 2026-09-21T06:41:57.136Z. This is not the publication date.