Stem Separation

Machine learning models trained on isolated recordings can pull a mixed track apart in seconds, and the good ones do it well enough to use. Creators mostly run it in reverse: stripping a music bed out of a clip so the dialogue underneath becomes usable, or cleaning up noisy location audio. Quality depends heavily on the source, and dense or heavily processed mixes leave watery artefacts around the edges of what is extracted. The point people miss is a legal one. Splitting a recording changes nothing about who owns it, so an isolated vocal is exactly as licensed as the track it came from.