Music-and-Culture-Technology-Lab/omnizart

Health v2 · maintenance only

Adoption not part of the score

1964 stars · 135 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Omnizart is a Python library and CLI for automatic music transcription, transcribing pitched instruments, vocal melody, chords, drum events, and beat from polyphonic audio. It covers the full deep learning lifecycle including dataset downloading, feature preprocessing, model training, transcription, and sonification, with pre-trained checkpoints provided.

Use cases

• transcribe piano notes from a song to midi
• extract drum events from audio
• detect chord progression in a track
• transcribe vocal melody from a song
• track beats in music audio
• train a custom music transcription model

When to choose

• you need automatic music transcription of instruments, vocals, chords, drums, or beats
• you want pretrained checkpoints for immediate transcription without training
• you want to train or evaluate your own transcription models in Python

When to avoid

• you need real-time low-latency transcription
• you need a GUI-based music editor rather than a library/CLI
• you work outside Python and don't want to use Docker

Facets

library · maturity maintenance

machine-learning audio-processing cli deep-learning machine-learning audio deep-learning python cli cross-platform music-transcription music-information-retrieval drum-transcription vocal-transcription chord-recognition beat-tracking pretrained-models mir audio docker

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markdown · JSON · MCP: product_card(name="Music-and-Culture-Technology-Lab/omnizart")