arXiv (All)
open access
On the Human and Computer Alignment of Attribute-Based Music Matches
Recent advances in generative AI are raising ethical concerns regarding the originality of generated content and the potential replication of training data, with further implications for transparency, attribution, and intellectual property. In music, several computational approaches have been propos
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
- JazzSAMBA: A Synchronous and Asynchronous Multi-take Band Audio Dataset of Jazz Standards for Live Music Models#1129541
- SSIMuse: Assessing Data Replication in Symbolic Music via an Adapted Structural Similarity Index Measure#1117246
- The melody-crawl Engine: Automated Large-Scale Acquisition of Symbolic Music for AI Research#415043
- From Audio Deepfake Detection to AI-Generated Music Detection -- A Pathway and Overview#792609
- From Audio Deepfake Detection to AI-Generated Music Detection -- A Pathway and Overview#788609
Record · ID 820980
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