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A video on the same subject: https://youtu.be/e0elNU0iOMY I really enjoy Tom Scott. Everything he puts out is wonderfully concise.
See, for example, his video on microwaving frozen hamsters back to life[0], in which he interviews the 101-year-old J. E. Lovelock, the scientist who did the work back in the fifties.
Curious if this can be used to discern AI-generated voice recordings vs authentic. A determined faker could always add their own noise, but this be a good first-pass detector.
Earlier quoted context omitted.
Have you tried any 3Blue1Brown videos? Highly recommend
Yes and I believe their videos are one the best things on the Internet right now as far as math education is concerned. Same goes for {Computer,Number}phile. The reason they're high quality learning material is because the explanations of the various concepts respect weaker math backgrounds, without being desperate to be as reductive as possible or have clickbaity titles , and sometimes with downright wrong claims, t…
Right below the author's comment, "Regardless of a grid’s size, the current flowing through it oscillates in perfect synchrony, at exactly the same frequency, throughout the whole grid," he presents a map of Western Europe's regional groups. I notice that Finland, Sweden, Norway, and Iceland comprise the Nordic Regional Group. Iceland? There is a lot of water between Iceland and the other three nations in its group.…
Alaska, similarly, is a set of two isolated grids, connected only by organizational ties: https://en.wikipedia.org/wiki/Alaska_Interconnection
Sounds like anyone wanting to do a "proper" fake job will now need to separate out any existing hum, then add a new continuous "hum track" based upon those publicly available ENV values. Probably wouldn't even be all that hard.
So yet another argument for proper, balanced audio recordings and working noise gates.
So yet another argument for proper, balanced audio recordings and working noise gates.
Sounds like anyone wanting to do a "proper" fake job will now need to separate out any existing hum, then add a new continuous "hum track" based upon those publicly available ENV values. Probably wouldn't even be all that hard.
Well subtracting the hum requires knowing the hum at that time, right?
Earlier quoted context omitted.
Well subtracting the hum requires knowing the hum at that time, right?
Yes,*and* its harmonics, which would have to be replaced as well if they're detectably present. Swapping hums isn't trivial.
Curious if this can be used to discern AI-generated voice recordings vs authentic. A determined faker could always add their own noise, but this be a good first-pass detector.
A recent approach along these lines is to do acoustic modeling of the vocal tract that would have produced the speech. Unsurprisingly, AI voices do not correspond to realistic human vocal tracts, for now. https://www.usenix.org/conference/usenixsecurity22/presentat...