There are many, many historical recordings (and modern ones made in less-than-ideal circumstances) that suffer badly from reverb. Seems like a valuable use-case that -ought- to be in reach today.
Reverb elimination can be done without losses, just with distortions depending on the implementation. To do that, one have to recover cepstral[1] coefficients (with NN) and feed them to spectral filters (no NN needed).
This is feasible, provided somebody prepares a training data set consisting of lots of pairs (sound, same_sound_with_reverb), where sound would be a voice, instrument, applause, etc. and with a different reverb settings. Very likely you'll have to use enormous sample rates, way beyond 44100, because you're supposed to deal with infinitesimal impulse response... Adds up to hardware requirements.
I feel like I've oversimplified something, but it can be done, just lots of fidgeting with all the training sets and a training process itself.
It occured to me that in many/most cases the audio from the source arrives first. So -in some cases- multiple models of the 'verb space' could be constructed/refined to allow filtering. Probably much easier for a lone speaker in a small, geometrically simple room -without- a P.A. Maybe not so easy for a speaker using a P.A. in a cathedral. But the Power of Fourier is mighty.