Controllable Music Production with Diffusion Models and Guidance Gradients

The paper presents a study on using conditional generation from diffusion models for tasks in music production, such as audio continuation, inpainting, and regeneration, creating transitions between tracks, and transferring styles, by applying guidance during the sampling process at 44.1kHz stereo audio quality.

 Controllable Music Production with Diffusion Models and Guidance Gradients

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Practical AI Solutions for Middle Managers

Revolutionizing Music Production with AI

NeurIPS 2023 Breakthrough: Our research on Diffusion Models was featured at the prestigious NeurIPS workshop. These models are game-changers for music production, enabling high-quality audio creation in 44.1kHz stereo. With AI, you can effortlessly manage tasks such as:

  • Audio Continuation: Seamlessly extend music tracks.
  • Inpainting: Fill in missing parts of audio.
  • Regeneration: Refresh old music with new quality.
  • Transitions: Create smooth overlaps between songs.
  • Style Transfer: Apply unique styles to existing music.

Our solution offers controllable production and guidance gradients for precision and customization.

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