CLUSTER AUDIO-MODEL-MUSIC · 6 ENTRIES · EARLIEST ENTRY 2024-07-04

AI music stem separation

This cluster comprises tools and models for separating mixed audio into isolated stems (vocals, instruments) using deep learning, spanning desktop apps, libraries, and model weights. The dated entries before the index start show an isolated entry in March 2013, a group of four in July 2024, and single entries in May and July 2026. Traction leaders by activity signal are agy-music-gen, StemVidiaPro, and Stemway, each with 0 stars.

Entry timeline

ENTRY TIMELINE

MAR 2013: 1JUL 2024: 4AUG 2026: 1
MAR 2013AUG 2026

Members by activity

Activity signals, not revenue.

Build origin · 6 unlabelled

Operator · 5 open source · 1 unlabelled

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 6 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01agy-music-gen0★1 mo—AI-powered music generation and audio processing tool for stem isolation, remixing, and mastering.
  2. 02open-unmix-umx-weights0★2 yrabandonedliveopen sourceMusic separation model weights that isolate vocal and instrumental stems from audio tracks.
  3. 03open-unmix-umxl-weights0★2 yrabandonedliveopen sourceModel weights for separating mixed audio into vocals and instrumental stems for music remixing.
  4. 04python-open-unmix-pytorch0★2 yrabandonedliveopen sourceLibrary that separates music into vocal and instrumental stems using deep learning audio processing.
  5. 05open-unmix-umxhq-weights0★2 yrabandonedliveopen sourceHigh-quality music separation model weights that isolate vocals and instruments from audio tracks.
  6. 06opensmile0★2 yrabandonedliveopen sourceAudio feature extraction tool that pulls real-time speech and music descriptors for recognition research.