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AUDIOSEP
AudioSep is an open-source foundation model for audio separation, enabling the separation of target sounds from mixed audio using natural language queries
ABOUT
Separating specific sounds from mixed audio traditionally requires training separate models for each sound type (speech separation, music separation, noise suppression). AudioSep solves this with a single foundation model that can separate any sound described by natural language, enabling flexible audio source separation without task-specific training or data collection.
INTEGRATION GUIDE
1. Separate vocals from music tracks for remixing and karaoke applications
2. Isolate specific environmental sounds from field recordings for analysis
3. Extract clean speech from noisy audio for transcription and communication