arXiv (OAI Expanded)
open access
MUUNRiver-Bench: Diagnosing Relation-Dependent Music Retrieval with Multimodal Instructions
Music retrieval is relation-dependent: given a reference track, a listener may seek its style with a new theme, a cover, or a comparable voice, and these intents demand contradictory rankings. We present MUUNRiver-Bench, a diagnostic benchmark whose reference-audio queries use natural-language instr
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
- Vocal Music under Phoneme-Conditional Analysis#996943
- What Are You Listening to? Temporal Music Grounding for Audio-to-Text Large Language Models#794262
- What Are You Listening to? Temporal Music Grounding for Audio-to-Text Large Language Models#790243
- $TCP_α$: Margin-Controlled Confidence estimation for reliable Music Information Retrieval#471219
- Explainable Detection of Machine Generated Music and Early Systematic Evaluation#179103
Record · ID 1110477
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