Audio & Music
Audio and music attribution.
Melodic similarity, generator identification, and catalog-scale monitoring for music labels, publishers, and rights organizations.
Methods
What we run.
- MelodySimMelodic-contour similarity
- Audio MIA frameworkSTFT / MFCC / chroma-based membership inference
- Audio generator IDDistinguishes Suno, Udio, MusicLM outputs
- Synthetic provenanceModel-collapse detection in audio
- Cross-modal MIAText-prompt → audio-output linkage
Use cases
Who this is for.
- Major label catalog monitoring across music generators.
- CMO per-work attribution at scale (ASCAP / BMI / GEMA mechanics).
- Producer detecting unauthorized sampling.
- Publisher pursuing melodic-similarity claims.