Let's say we limit the problem to old recordings of classical pianists from the early 20th century, could a deep learning algorithm be trained on pristine recordings of piano tones (or entire pieces) to restore the quality of an old recording? I mean more than just removing pops, scratches and surface noise -- I mean, adding a dynamic range to the recording that was never there, but would have been there if it had been recorded with modern technology.
I'm not sure that changing the dynamic range and tuning the notes constitutes restoration. Artists work in a medium and for some artists the medium is as much the recording technology as anything else. For example, replacing a photograph with a hologram or a video is not restoring it.<p>Another example is applying deep learning to old recordings to do the things mentioned might be a new medium for contemporary artists.