do you have any sources for that?
I've only seen this mentioned from research results recently but no real world exploitation reports.
https://www.bleepingcomputer.com/news/security/new-acoustic-...
I got to 90% accuracy extremely quickly. The "guessed" keystrokes had errors but they were close enough to tell exactly what I was typing.
If I could do that as an amateur in a few hours of coding with no advanced signal processing and with the first SVM architecture I tried, it must be relatively easy to learn / classify.
From that discussion it sounds like you need to train on data captured from the actual target. Same physical keyboard in the same physical space with the same typer.
Pretty wild despite those specific conditions. Very interested to know if people have actually been attacked in the wild with this and if the attackers were able to generalize it down to just make and model of a keyboard, or if they could gather enough data from a stream.
It's quite good at decoding my own typing, although I am a quite aggressive typist and that may help. I haven't tried it on others, though (honest, officer).