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Nightingale Karaoke is a machine learning-powered karaoke application that transforms existing music collections into interactive singing experiences. It uses neural networks to separate vocals from instrumental tracks and generate synchronized lyrics through transcription and alignment. Users can import local media files or connect music libraries from Plex, Jellyfin, and Navidrome. Its playback system provides pitch scoring, key and tempo adjustments, microphone monitoring, and guide vocal mixing. Multiplayer sessions support multiple microphones, player profiles, scoreboards, and managed song queues. The application also offers customizable backgrounds using videos, images, and GPU shaders. Nightingale runs as a desktop application on Windows, macOS, and Linux or as a self-hosted web application. Its interface adapts to different screen sizes and input devices.
Features
- AI-powered vocal separation using UVR Karaoke and Demucs machine learning models
- Automatic lyric transcription, word-level synchronization, and highlighted karaoke playback
- Music library imports from local files, Plex, Jellyfin, and Navidrome servers
- Real-time microphone pitch scoring with adjustable song key, tempo, and vocal mixing
- Multiplayer karaoke sessions with individual microphones, player profiles, and scoreboards
- Customizable stage backgrounds, synchronized pitch displays, and desktop or self-hosted deployment
Project Samples
