microsoft/muzic
Muzic: Music Understanding and Generation with Artificial Intelligence
What it solves
Muzic is a research project focused on improving how AI understands and generates music. It addresses the challenges of creating high-quality symbolic music, synthesizing singing voices, and bridging the gap between text, lyrics, and musical melodies.
Related
- Project
u14app/deep-researchAn AI-powered research tool that automates the gathering of information from the web and local files to generate comprehensive, in-depth reports.
- Project
librosa/librosaA Python library for audio and music signal processing that provides the foundational tools for building music information retrieval systems.
- Dispatch
OpenAI MuseNetMuseNet is a deep neural network capable of generating 4-minute musical compositions across 10 instruments by learning patterns of harmony, rhythm, and style from hundreds of thousands of MIDI files.
- Project
NeptuneHub/AudioMuse-AIAudioMuse‑AI is an open‑source, self‑hosted application that analyses the actual audio of your music collection to create sound‑based fingerprints. Using those fingerprints it can cluster similar tracks, generate instant mood‑oriented playlists, map the library on a 2‑D visual canvas, and answer natural‑language queries. It works with Navidrome, Jellyfin, LMS, Lyrion, Emby and Plex, and can be run via Docker‑Compose, a Helm chart, or native macOS/Windows/Linux packages.
- Project
SeaDve/MousaiA song recognition application that uses the AudD API to identify music from desktop audio or a microphone.