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A custom MCP server that separates a YouTube track into stems (vocals, drums, bass) and extracts a sonic signature: BPM, musical key, stereo width, transient punch, and a 512-dim CLAP semantic embedding. Runs locally on CPU via Demucs and librosa.
Self-hostable web app for isolating the vocal, accompaniment, bass, and drums of any song. Supports Spleeter, Demucs, BS-RoFormer. Built with React and Django.
AI-powered local multimedia toolkit — speech-to-text, translation, super-resolution, OCR, source separation, and media transcoding. All AI inference runs locally on your machine.
LimeWire Studio V4.0 — Python desktop audio production studio for download, analysis, editing, stem separation, playlist transfer, and batch processing.
Local AI music production CLI — generate instrumentals (MusicGen), separate stems (Demucs), convert voices (RVC), mix tracks, and batch process pipelines. Built for Apple Silicon.
Automated audio/video ML pipeline for detecting and transcribing jazz solos from live recordings. Runs nightly against Smalls Jazz Club archives: uses CLAP (instrument detection), Demucs (source separation), CLIP (performer identification), and basic-pitch (MIDI transcription). Results served via REST API.