Alternatives
Products that do what StemDeck does
Local stem separation. No account, no upload, no cloud.
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Hi HN, Last time I showed free-music-demixer, which people seemed to enjoy. It was a static website with a Javascript + WASM module to perform music demixing (or music source separation) using an AI model UMX-L (Open-Unmix) running client-side in the browser. Since then, I have overhauled the project and made several improvements: - The demixing/separation quality is higher now, since I implemented the missing post-processing step - Memory usage is lower now by performing a custom segmented inference with a streaming LSTM, which should allow larger tracks (or, dare I say,…
2023 · freemusicdemixer.com
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Hi all, I've spent some time working on music demixing or music source separation algorithms, which take in a mixed song and output estimates of isolated components (e.g. vocals, drums, bass, other). I took a popular PyTorch model with good performance (Open-Unmix, UMX-L weights), reimplemented the inference steps in C++, and compiled it to WebAssembly for a free client-side music demixer.
2023 · sevag.xyz
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Hello HN! Here's Billard. It combines music and physics into a unique creative tool, as I explore various unconventional methods for generating music. Most traditional music composition tools revolve around the idea of a repeatable pattern. Billard is a webapp that never repeats itself. It generates music automatically based on the collisions of balls in a 2D space. Collisions trigger notes (or chords) in a given key. One can add balls or move them (y-position is pitch); the app remembers its state between reloads; or it can be reset with the 'init' button on the top left. Gravity can be…
2024 · billard.medusis.com
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Hi HN! I reimplemented HTDemucs v4 (Meta's music source separation model) in Rust, using Burn. It splits any song into individual stems — drums, bass, vocals, guitar, piano — with no Python runtime or server involved. Try it now: https://nikhilunni.github.io/demucs-rs/ (needs a WebGPU-capable browser — Chrome/Edge work best) GitHub: https://github.com/nikhilunni/demucs-rs It runs three ways: - In the browser — the full ML inference pipeline compiles to WASM and runs on your GPU via WebGPU. No uploads, nothing leaves your machine. - Native CLI —…
Mar 2026 · github.com
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