# microsoft/muzic

Muzic: Music Understanding and Generation with Artificial Intelligence

Repository: https://github.com/microsoft/muzic
Canonical: https://ross.abutalabs.com/products/muzic
Language: Python
License: MIT
License Family: permissive
Topics: music, music-composition, ai-music, deep-learning
Last push: 2026-08-05T21:14:33+00:00

## Health v2 (maintenance only)
Score: 66/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 96, release rhythm 8, longevity 100
- inputs: {"age_days": 1917, "days_push": 28, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4952, forks 498 (observed 2026-08-28T04:09:03.722578+00:00)

## What it is
Muzic is a Microsoft Research project providing deep learning models for music understanding and generation, including MusicBERT, SongMASS, DeepRapper, TeleMelody, MuseCoco, and MusicAgent. It covers tasks like symbolic music understanding, lyric-to-melody generation, multi-track music generation, and singing voice synthesis.

## Use cases
- generate melodies from lyrics
- generate music from text descriptions
- classify or understand symbolic music
- transcribe lyrics automatically
- synthesize singing voices
- generate rap lyrics with rhythm
- build an AI music agent

## When to choose
- you need research-grade models for AI music generation or understanding
- you want to experiment with lyric-to-melody or text-to-music generation
- you are doing academic research on music and deep learning

## When to avoid
- you need a production-ready end-user music app
- you want a simple plug-and-play music tool without ML expertise
- you need commercial licensing guarantees beyond MIT for model weights

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, deep-learning, nlp, audio-processing, llm-training
- domain: artificial-intelligence, machine-learning, deep-learning
- platform: python, cross-platform
- tags: music-generation, music-understanding, symbolic-music, singing-voice-synthesis, text-to-music, research, microsoft, audio, natural-language-processing

## Member repositories
- microsoft/muzic (main) score 66

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:03.722578+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:17:51.582910+00:00, confidence not recorded.
  - readme: https://github.com/microsoft/muzic (fetched 2026-08-28T04:09:03.722578+00:00, sha 9872476b778a)
- Data as of 2026-08-30T08:39:29.467469+00:00.