> I've seen the demos of AI systems that can be trained on an individual's voice, and generate new speech in the same voice. If I was waterprinting a meeting, I would train a system like this on the fly on the people in the meeting and use it to dynamically insert filler words (um...) in a unique pattern into the audio stream for each member of the meeting. That would defeat any audio filter tricks or recreating the meeting from scratch, so you would want to summarize/rephrase the meeting too.

But wouldn't doing something like that make the recording seem like a deepfake, potentially reducing it's credibility? To an outside observer, it may make a genuine recording appear to be fake.

I'm reminded of the controversy over the faked Bush Texas ANG documents. They were discovered by randos on the internet realizing the text looked like the output of a modern version of Word than the 70s typewriter they should have been written on if genuine. Imagine a similar but genuine document where the content was deliberately retyped using anachronistic equipment to obscure the leaker's identity.

[1] https://en.wikipedia.org/wiki/Killian_documents_controversy

I don't remember the details, but there was a lawsuit (in India IIRC) over some contractual documents, which were proven to be fake since they used Microsoft's Calibri font, but were supposed to be from before Calibri et al. was released.

Imagine getting caught through an even more obscure difference, like different default margins/spacing in new Word, or... letter kerning!

Calibri comes up surprisingly often. There were lawsuits and scandals in other countries, too.

But if certain frequencies are in the training data, they still will be in the output. Won't you end up with watermarked audio still?

you could let your recreation algorithm do the same thing. add and remove filler words randomly. This way in the end you can't be sure whos audio it was :)

How would you explain these filler words if the lips don’t match?

I think in this case you don't always have the visual recording of the speaker.

Zoom's quality ain't that great. You often have random lags and delays, and I don't think audio and video are always 100% in sync anyway.