🎚️ Moozz · Stem Test Bench

Split a track into vocals and instrumental with Demucs on GPU. Pick the model and quality settings, optionally trim a segment, and review each run's parameters, per-step timings and output waveforms.

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Parameter guide
  • Modelhtdemucs_ft averages 4 fine-tuned sub-models: best quality, ~4× slower. htdemucs is a single model: still great and ~4× faster.
  • shifts — number of random-shift passes that get averaged. 0–1 = fastest; 2+ = cleaner separation but runtime scales roughly linearly.
  • overlap — overlap between processing windows (0–0.95). 0.25 is the default; 0.5 reduces edge artifacts (a faint "echo") at the cost of speed.
  • Segment — drag on the waveform to process only a slice; great for fast iteration on a chorus or a problem section.
Examples:

Tests