Custom ML model – if Spotify was instrumental
This ships a tidy, browsable library of on-demand vocal removals backed by a custom 'BiMamba UNet' trained on a curated ~500-song dataset — the interface actually feels built for music discovery rather than a bare demo. Don't expect SOTA separations (the author trained on one A40 for days and is honest about limits), but the vibe-coded dataset and integrated conversion pool make it a fun, useful tool for quickly grabbing instrumentals.
