It cannot bring back lost data. It can hallucinate something that is statistically likely given the context but I’m not aware of any tool which can do that to a useful degree.
What’s the context? Why can’t you just get a better encode where the data isn’t lost?
Old mixtapes and such can be noisy with hizzes, pops and such. It is possible to filter out those artefacts but thats removing stuff, just as digitally compressing audio is removing stuff. You can’t create data from nowhere for digitally compressed files and you can’t simply add back the hizz, noise, and pops to the mixtapes if you remove that.
Going from 192kbps to 320kbps would be audibly negligible unless you used a really bad codec to begin with, in which case adding AI into the mix would likely just compound the problem.
Basically something to improve quality. So from 192kbs to 320kbs
you won’t magically restore the parts that have been removed during compression.
Can AI or machine learning not do in the same way that it does with pictures?
It cannot bring back lost data. It can hallucinate something that is statistically likely given the context but I’m not aware of any tool which can do that to a useful degree.
What’s the context? Why can’t you just get a better encode where the data isn’t lost?
Things like old mixtapes are impossible to get better encodes of
Old mixtapes and such can be noisy with hizzes, pops and such. It is possible to filter out those artefacts but thats removing stuff, just as digitally compressing audio is removing stuff. You can’t create data from nowhere for digitally compressed files and you can’t simply add back the hizz, noise, and pops to the mixtapes if you remove that.
Going from 192kbps to 320kbps would be audibly negligible unless you used a really bad codec to begin with, in which case adding AI into the mix would likely just compound the problem.
Probably not even worth it, tbh.
Ah, thank you for the info