SonicMaster: Towards Controllable All-in-One Music Restoration and Mastering

Summary

This paper talks about SonicMaster, a new AI model that can fix and improve the quality of music recordings by removing problems and enhancing sound. It uses text instructions to control the process and a special training method to create better audio.

What's the problem?

The problem is that music recordings often have different kinds of issues, like noise or poor sound quality, and current tools usually focus on fixing only one problem at a time, making the process slow and complicated.

What's the solution?

The solution was to build SonicMaster, a single model that can handle many audio problems at once. It uses text-based controls so users can tell the model exactly what to fix, and it trains with a flow-matching technique that helps generate high-quality sound.

Why it matters?

This matters because it makes improving music recordings faster and easier, helping musicians and audio engineers create clearer and more enjoyable music. It also shows how AI can be creatively used in the music industry for better sound production.