Boomerang sampling, applied to a pretrained music diffusion model, creates audio variations that improve beat tracking when training data is scarce and can change instruments via text prompts.
This process must be carried out step by step, exactly as in global sampling of diffusion models, and this is where most of the computational effort occurs
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Music Boomerang: Reusing Diffusion Models for Data Augmentation and Audio Manipulation
Boomerang sampling, applied to a pretrained music diffusion model, creates audio variations that improve beat tracking when training data is scarce and can change instruments via text prompts.