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Products that do what Demucs music stem separator rewritten in Rust – runs in the browser does
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 —…
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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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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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In 2020, Magenta released DDSP [1], a machine learning algorithm / python library which made it possible to generate good sounding instrument synthesizers from about 6-10 minutes of data. While working with DDSP for a project, we realised how it was actually quite hard to find 6-10 minute of clean recordings of monophonic instruments. In this project, we have combined the DDSP architecture with a domain adaptation technique from speech synthesis [2]. This domain adaptation technique works by pre-training our model on many different recordings from the Solos dataset [3] first and then…
2022 · erlj.notion.site
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2021 · sequencer64.com
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A year ago, my co-founder launched Desktop Docs here on HN. It's a Mac app we built with Electron that uses CLIP embeddings to search photos and videos locally with natural language. We got positive feedback from HN and our first paying customers, but the app was almost 1GB and clunky to use. TLDR; rebuilding in Rust was the right move. So we rewrote the app with Rust and Tauri and here are the results: - App size is 83% smaller: 1GB → 172MB - DMG Installer is 70% smaller: 232MB → 69.5MB - Indexing files is faster: A 38-minute video now indexes in ~3 minutes instead of 10-14 minutes -…
2025 · desktopdocs.com
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2023 · peel.fm
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Hello HN, not many will know what this tool is about, but it's launch day and I always dreamed of posting on HN. Let's start! This is a tool for people using eurorack gear. For synth people. What is cool about my tool is that I show the signal flow with a graph. Here's the official press text: After a decade of stagnation in this space we are excited to present patcher.xyz: the modern way to manage everything modular. It’s a tool for professionals, enthusiasts, and casual wigglers. Novadays artists must develop their own means of taking notes, often on paper, since there is no common format…
2022 · patcher.xyz
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