While it is impressive and I like to follow the advancements in this field, it is incredibly frustrating to listen to. I can't put my finger on why exactly. It's definitely closer to human-sounding, but the uncanny valley is so deep here that I find myself thinking "I just want the point, not the fake personality that is coming with it". I can't make it through a 30s demo.
Pushing the frontiers of audio generation
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Re: Pushing the frontiers of audio generation
#22Re: Pushing the frontiers of audio generation
#23Is this related to LLM, or is this a completely different branch of AI, and is it just a coincidence? I am curious.
Re: Pushing the frontiers of audio generation
#24Astounding
Re: Pushing the frontiers of audio generation
#25On the bright side, you can stop watching these channels and have more time for serious things.
Re: Pushing the frontiers of audio generation
#26While it is impressive and I like to follow the advancements in this field, it is incredibly frustrating to listen to. I can't put my finger on why exactly. It's definitely closer to human-sounding, but the uncanny valley is so deep here that I find myself thinking "I just want the point, not the fake personality that is coming with it". I can't make it through a 30s demo.
Totally agree. Maybe it’s just the clips they chose, but it feels overfit on the weird conversational elements that make it impressive? Like the “oh yeahs” from the other person when someone is speaking. It is cool to see that natural flow in a conversation generated by a model, but there’s waaaay too much of it in these examples to sound natural. And I say all that completely slackjawed that this is possible.
Re: Pushing the frontiers of audio generation
#27Earlier quoted context omitted.
Totally agree. Maybe it’s just the clips they chose, but it feels overfit on the weird conversational elements that make it impressive? Like the “oh yeahs” from the other person when someone is speaking. It is cool to see that natural flow in a conversation generated by a model, but there’s waaaay too much of it in these examples to sound natural. And I say all that completely slackjawed that this is possible.
> Like the “oh yeahs” from the other person when someone is speaking. I bet that if you select a British accent you will get fewer of them.
Re: Pushing the frontiers of audio generation
#28Earlier quoted context omitted.
Totally agree. Maybe it’s just the clips they chose, but it feels overfit on the weird conversational elements that make it impressive? Like the “oh yeahs” from the other person when someone is speaking. It is cool to see that natural flow in a conversation generated by a model, but there’s waaaay too much of it in these examples to sound natural. And I say all that completely slackjawed that this is possible.
> Like the “oh yeahs” from the other person when someone is speaking. I bet that if you select a British accent you will get fewer of them.
Re: Pushing the frontiers of audio generation
#29While it is impressive and I like to follow the advancements in this field, it is incredibly frustrating to listen to. I can't put my finger on why exactly. It's definitely closer to human-sounding, but the uncanny valley is so deep here that I find myself thinking "I just want the point, not the fake personality that is coming with it". I can't make it through a 30s demo.
Re: Pushing the frontiers of audio generation
#30While it is impressive and I like to follow the advancements in this field, it is incredibly frustrating to listen to. I can't put my finger on why exactly. It's definitely closer to human-sounding, but the uncanny valley is so deep here that I find myself thinking "I just want the point, not the fake personality that is coming with it". I can't make it through a 30s demo.
We may not know that a given speaker is a GenX Methodist from Wisconsin that grew up at skate parks in the suburbs, but we hear clusters of speech behavior that lets our brain go "yeah, I'm used to things fitting together in this way sometimes"
These don't have that.
Instead, they seem to mostly smudge together behaviors that are just generally common in aggregate across the training data. The speakers all voice interrupting acknowledgements eagerly, they all use bright and enunciated podcaster tone, they all draw on similar word choice, etc -- they distinguish gender and each have a stable overall vocal tone, but no identity.
I don't doubt that this'll improve quickly though, by training specific "AI celebrity" voices narrowed to sound more coherent, natural, identifiable, and consistent. (And then, probably, leasing out those voices for $$$.)
As a tech demo for "render some vague sense of life behind this generated dialog" this is pretty good, though.