arXiv (All)
open access
Do Music Generative Models Understand Musical Qualities? Automatic Music Evaluation with Model-Intrinsic Signals
Current music generative models can produce high-quality music, but does this ability imply that they ``understand'' the musical qualities of their outputs, and is that understanding aligned with human evaluation? Previous attempts to use the likelihood of a generative model to evaluate music, an ap
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- How Well Do Generative Music Models Follow Emotion Conditioning?#799233
- How Well Do Generative Music Models Follow Emotion Conditioning?#797810
- MusGU+: Toward a Musician-Centered Evaluation Framework and Discovery Tool for Generative Music AI#622573
- MusGU+: Toward a Musician-Centered Evaluation Framework and Discovery Tool for Generative Music AI#818982
- MusGU+: Toward a Musician-Centered Evaluation Framework and Discovery Tool for Generative Music AI#808990
Record · ID 1142022
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive