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> Greene felt the male voice sounded just like him Turns out he still has his own voice, that one sounds like him.
That's likely the case because they deliberately cloned his voice.
Nobody at Google was like "we should use this guy's voice!"
I listen to some Jupiter Broadcasting podcasts. The main host (Chris Fisher) regularly pops up in NotebookLLM content, with his voice. Sometimes it just jumps in, and then after some time out again. It’s usually a pretty perfect imitation, I can’t hear the difference . Edit, here an older piece, there have been many since: [0], it’s the 3rd voice that enters the NotebookLLM clip so it takes a minute before it comes i…
But it is always possible that this is what Chris sounds like in his own head. Nobody listening to audio will hear it the way he does.
> Greene felt the male voice sounded just like him Turns out he still has his own voice, that one sounds like him.
That's likely the case because they deliberately cloned his voice.
Compare for yourself. David Greene: https://youtu.be/xYxQrLp4MQk NotebookLM: https://youtu.be/AR4dRtzFvxM I think he just has "podcast guy" voice. It's pretty generic.
Compare for yourself. David Greene: https://youtu.be/xYxQrLp4MQk NotebookLM: https://youtu.be/AR4dRtzFvxM I think he just has "podcast guy" voice. It's pretty generic.
So I would say that where there is smoke there is sometimes fire at this point.
At a certain point with generative AI we're going to run out of voices and faces the same way we run out of domain names and trademarks.
Can we not sample indefinitely from the latent space of vocal and delivery characteristics?
in perceptual psychology/psychophysics, there's the concept of the "just-noticeable difference" (JND) which is the smallest change to a stimulus you can make that is reliable detectable.
normally the JND is measured on physical properties like brightness, pitch, etc but there's no reason it couldn't be applied to a more abstract latent space. two points in a particular latent space may be mathematically unique, but if they're indistinguishable to humans we shouldn't treat them as distinct voices
Compare for yourself. David Greene: https://youtu.be/xYxQrLp4MQk NotebookLM: https://youtu.be/AR4dRtzFvxM I think he just has "podcast guy" voice. It's pretty generic.
Nor does it seem like his voice but changed "just enough" (like in pitch).
I agree, he just has a very generic-sounding "podcast guy" voice. And obviously, NotebookLM trained on tons of podcasts and is generating a highly generic, average-sounding voice. Which is why it's pitched higher, since David Greene has a lower than average pitch.
This lawsuit is either just to generate buzz to build his personal brand, or maybe he's worried about the competitive threat from AI. But there's no way he's going to win this suit. This isn't like the case with Bette Midler, where Ford intentionally hired someone to mimic her voice.
At a certain point with generative AI we're going to run out of voices and faces the same way we run out of domain names and trademarks.
Even if it is complete chance, there's no way to peer inside and confirm that because these things are completely opaque black boxes
Compare for yourself. David Greene: https://youtu.be/xYxQrLp4MQk NotebookLM: https://youtu.be/AR4dRtzFvxM I think he just has "podcast guy" voice. It's pretty generic.
But I am also very anti-AI in the artistic space, because if it weren’t for humans freely providing so much artistic content, we wouldn’t have this outcome. And I believe the only end result will be less humans openly sharing knowledge, because some heavily money backed entities will just steal all the art and put it behind a paywall or advertisement.
As much as I appreciate the easy search (because actual useful search has become nonexistent since AI) and the ability to ask AI to find some metadata from a large data payload, I also dislike AI, because it has effectively broken the open internet and the willingness for humans to be open to freely sharing knowledge.