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AudioMuse-AI is an Open Source Dockerized environment
...By analyzing the underlying audio content rather than relying on external metadata services, the system can organize large personal music libraries and generate curated playlists for different moods or listening contexts. AudioMuse-AI integrates with several popular self-hosted music servers including Jellyfin, Navidrome, and Emby, allowing users to extend existing media servers with advanced AI-powered recommendation capabilities. The system uses machine learning and audio analysis tools such as Librosa and ONNX models to extract features directly from audio tracks.
...The platform also enriches tracks with lyrics, album art, and MusicBrainz metadata while organizing files into clean, customizable folder structures. Once processed, the library can be synchronized with media servers like Plex, Jellyfin, or Navidrome so collections stay up to date without manual intervention.