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Pushing the frontiers of audio generation

deepmind.google

21–30 of 114 posts

Re: Pushing the frontiers of audio generation

#21
post #4

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.

It's like their training set was made up entirely of awkward podcaster banter.

Re: Pushing the frontiers of audio generation

#23
It looks like lately a lot of progress have been made in audio generation / audio understanding (everything related to speech, I mean).

Is 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

#26
post #4

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.

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.

I'd love to see stats on disfluency rate in conversation, podcasts, and this sample to get an idea of where it lies. It seems like they could have cranked it up, but there's also the chance that it's just the frequency illusion because we were primed to pay attention to it.

Re: Pushing the frontiers of audio generation

#27
post #16

Earlier 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.

Right mate

Re: Pushing the frontiers of audio generation

#28
post #16

Earlier 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.

I'm hoping it will be a lot of Ok Guv'ner and right you ares in the style of Dick Van Dyke.

Re: Pushing the frontiers of audio generation

#29
post #4

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.

they all sound like valley-people, complete with the raspy voice and everything

Re: Pushing the frontiers of audio generation

#30
post #4

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.

We're used to hearing some kind of identity behind voices -- we unconsciously sense clusters of vocabulary, intonation patterns, ticks, frequent interruption vs quiet patience, silence tolerance, response patterns to various triggers, etc that communicate a coherent person of some kind.

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.

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