← All projects

AUDIO ML · archived

SongDNA

independent experiment in interpretable music embeddings.

Role
solo · research
Tools
Python · Embeddings · Audio ML · Recommendation Systems
Public artifacts
0

What I built

an archived research prototype that represented production style, structure, and musical relationships in a 32-dimensional embedding. it is not affiliated with spotify's later product of the same name, and no causal relationship is claimed.

the engine

Represent musical structure with interpretable dimensions.

The prototype explored a 32-dimensional representation of production style, structure, and musical relationships for recommendation and research experiments.

  • 32-dimensional interpretable embeddings per track
  • Designed for recommendation and research experiments
  • Archived prototype; no public implementation is currently linked

scope

Separate the prototype from later products with the same name.

Spotify later released an unrelated feature called SongDNA. The shared name is noted only to prevent confusion; this portfolio does not claim contribution, adoption, licensing, or influence.

  • No Spotify affiliation claimed
  • No public repository currently linked
  • Kept as an archived research direction rather than a deployed product

Artifacts and limits

Project images and measurements are shown as project-produced material, not independent validation.

No public artifact linked yet

This page intentionally avoids architecture and performance claims that cannot be inspected from a repository, demo, or report.

archived

Last content review: July 2026. Scope is limited to the material linked on this page.

Return to projects