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.

  • MelodySim
    Melodic-contour similarity
  • Audio MIA framework
    STFT / MFCC / chroma-based membership inference
  • Audio generator ID
    Distinguishes Suno, Udio, MusicLM outputs
  • Synthetic provenance
    Model-collapse detection in audio
  • Cross-modal MIA
    Text-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.