Decomposer
A musical guessing game
What it does
Daily music game. Three stems from the real isolated recording - something like drums, bass, synth. Sometimes something annoying like drums, drums, more drums. Three stems. Three guesses. New song every day. Hearing an isolated instrument from a song you know is strange and surprising. Sometimes you'll get it in one. Sometimes the third stem will make you feel like an idiot. Archive of past songs available after the daily one.
Does the same job
all alternatives →
- FAFree AI-based music demixing in the browser2023 · sevag.xyz · ▲190
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.
- C3CLAVIER-36 – A programming environment for generative musicSep 2025 · clavier36.com · ▲146
CLAVIER-36 is a programming environment for generative music. Programs are laid out in a two-dimensional grid, and evolve over time according to a fixed set of rules. The system is much like a cellular automaton, in that most of the rules governing the evolution of the system are local. C36 programs describe sequences of discrete events in time. The environment includes a primitive sampler, as a self-contained means of interpreting these events as sound. For full expressivity, though, the system is best used as a generator of data for interpretation by an external musical instrument, such as…
- IFImproved freemusicdemixer – AI music demixing in the browser2023 · freemusicdemixer.com · ▲160
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,…
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