Re: How about the audio equivalent?
This system is a reconstructor for images. As it fills in pixels that have been obliterated in the input., you're never getting the original - all that you gain is the removal of signals that distract from what the original probably was.
Old recordings to have quite a lot of data, but masked by very high levels of noise. If you consider that an old phonograph was basically a cutting needle coupled to a drum with very little processing between, there's quite a bit of information that could be pulled out of it.
"Improving" the listening is all that's needed for academic study of old recordings, and certainly for entertainment purposes - I've listened to a few early recordings, and it takes a while for your ears to adjust to the noise and missing high and low frequency information. pre-processing with an AI could help bring these to a wider audience.
For more serious work, just like the medical imaging examples, the post-AI version is used to get an overview, but where there's doubt, the original pre-processed file is still available for detailed study. This already happens in historical research: historians normally work from transcripts and translations of old documents, but in special cases they will need to examine the original book to resolve a query.