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Deep-learning text-to-speech tool for generating voices of various characters

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Re: Deep-learning text-to-speech tool for generating voices of various characters

#41
post #38

Earlier quoted context omitted.

Eh, this technology currently falls very squarely into the category of "almost good enough that I could use it for a creative project, but not nearly good enough that you're going to be able to convince me that the results aren't generated." I'm not primarily interested about the dollars, I'm interested in allowing communities to do creative things. I think people are looking at this tech like it's only going to be u…

You are looking at the current implementation and not thinking about the implication. One, this tech absolutely could be used to fool someone. Not everyone will be listening with a critical ear. Played back over a phone or injecting a phrase or two in otherwise spoken samples will fool many people. I guarantee you someone will be using this to make their own MLP episodes on YouTube specifically designed to scare chil…

> One, this tech absolutely could be used to fool someone.

The problem I have here is that it's already not hard to fool people. I don't think it's feasible for us to say that we're going to put something that could be highly beneficial on hold just because we don't want to deal with social education efforts that we kind of already need to tackle anyway. Per your example, if we get rid of deepfakes, it's not clear to me that Youtube is going to be any more safe. I already would not allow a child to browse Youtube unattended, people already generate the videos you're talking about.

And I know that people are putting this in a different category than general CGI, voice modulation, or consumer-grade apps like Photoshop. I'm not going to argue that it's necessarily wrong for people to be worried, but no matter how many times people tell me that this is fundamentally different, I still have not seen any serious evidence that this technology is going to be more dangerous than Photoshop, and I think it's going to be way easier to detect than a decent Photoshop job is. Photoshop's content-aware paste/fill tools are better than this example, and they arguably require less work to use.

And again... I'm sympathetic to concerns about moving too fast, but I just don't think there's any world, even if you could get rid of deepfakes entirely, where we don't need to be worried about media literacy and general skepticism. If people today don't realize that voices can already be convincingly faked, then that's a really serious problem, and if democratizing that ability causes society in general to become more aware of the potential of disinformation, then honestly that might even be a good thing that we should be encouraging.

So sure, concerns, but in my mind people are focusing on one particular implication that I don't think is particularly likely, and ignoring that responding to that concern is probably going to look the same no matter what our position on deepfakes is.

> If you train a model to mimic a performance given by an actor, then use that model and fire the actor, isn't that potentially really problematic?

I think that's a very complicated question. I would not assume that the loss of work for voice actors, who can shift into voice generation roles, is going to be a big enough downside that it overrules the upside of allowing ordinary people to start generating their own vtube avatars or commenting on and building on top of existing culture.

Re: Deep-learning text-to-speech tool for generating voices of various characters

#44
I'm pretty happy with the results I get. I've toyed around with a similar goal, but with the idea of approaching voice actors to give them a powerful tool to sell a "low quality" version of their voice in bulk. That way an up and coming author could use a tool like this and some elbow grease to create an Audiobook with famous voices.

Re: Deep-learning text-to-speech tool for generating voices of various characters

#45

Earlier quoted context omitted.

I'm not too sure about that. From my testing, Fluttershy, Applejack, Twilight, Chrysalis, Rise, and Kyu (and a bunch of other characters that I'm surely forgetting) seem to perform phenomenally well. Especially Chrysalis, her emotions are extremely believable, and Fluttershy/Applejack/Rise/Kyu have almost zero noise for every generation. This might be the most impressive site I've ever seen. Oh, I somehow forgot all…

Hrm. Well, I can't really argue with that beyond that my standards on perfect might be different. I think some of the best voices they have are characters like Twilight, she shows a ton of promise. But as it stands right now, I would still at least hesitate to use Twilight's voice in a project unless I didn't have other options. Chrysalis's voice is good, but again, is an exaggerated cartoon character with a large am…

Yeah, that's fair. I dunno, I can't really hear anything wrong with Fluttershy or Applejack no matter how hard I try, but your ears are probably much better than mine :p

I've been seeing quite a few skits being posted on /r/tf2 (https://www.reddit.com/r/tf2/comments/kr374q/honestly_idk_i_...) and all of the voices sound pretty much perfect to me. But as you said, it's subjective.

Re: Deep-learning text-to-speech tool for generating voices of various characters

#49
Pretty cool! I tried it with this small dialogue, and then edited together two voices in Reaper from the downloads:

Bob: “Hello, John.”

John: “Oh, hello there, Bob.”

Bob: “Yes, hello. It's what I said. Why do you keep repeating what I say, John?”

John: “I didn't repeat you! I merely said hello, you dimwit!”

Bob: “There you go, being condescending again. Fuck you!”

John: “What? You're the one who started it!”

Try it yourself, or write something different. Either way, good fun!

Re: Deep-learning text-to-speech tool for generating voices of various characters

#50
post #38

Earlier quoted context omitted.

Eh, this technology currently falls very squarely into the category of "almost good enough that I could use it for a creative project, but not nearly good enough that you're going to be able to convince me that the results aren't generated." I'm not primarily interested about the dollars, I'm interested in allowing communities to do creative things. I think people are looking at this tech like it's only going to be u…

You are looking at the current implementation and not thinking about the implication. One, this tech absolutely could be used to fool someone. Not everyone will be listening with a critical ear. Played back over a phone or injecting a phrase or two in otherwise spoken samples will fool many people. I guarantee you someone will be using this to make their own MLP episodes on YouTube specifically designed to scare chil…

> If you train a model to mimic a performance given by an actor, then use that model and fire the actor, isn't that potentially really problematic?

And if you have to keep getting a person paid for something that a machine could do with (assuming, as per your post) 100% equal performance, that is not problematic? When the voice becomes as good as real actors, then yes of course they should become out of a job. Just like progress has been going on for thousands of years.

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