Show HN: Neural text to speech with dozens of celebrity voices

by echelon • 6 years ago

462 164 6 years ago

echelon27• 6 years ago

I've built a lot of celebrity text to speech models and host them online:

It has celebrities like Sir David Attenborough and Arnold Schwarzenegger, a bunch of the presidents, and also some engineers: PG, Sam Altman, Peter Thiel, Mark Zuckerberg

I'm not far away from a working "real time" [1] voice conversion (VC) system. This turns a source voice into a target voice. The most difficult part is getting it to generalize to new, unheard speakers. I haven't recorded my progress recently, but here are some old rudimentary results that make my voice sound slightly like Trump [2]. If you know what my voice sounds like and you kind of squint at it a little, the results are pretty neat. I'll try to publish newer stuff soon, and that all sounds much better.

I was just about to submit all of this to HN (on "new").

Edit: well, my post [3] didn't make it (it fell to the second page of new). But I'll be happy to answer questions here.

[1] It has about ~1500ms of lag, but I think it can be improved.

[2] https://drive.google.com/file/d/1vgnq09YjX6pYwf4ubFYHukDafxP...

[3] I'm only linking this because it failed to reach popularity. https://news.ycombinator.com/item?id=23965787

dang• 6 years ago

(These comments originally were in https://news.ycombinator.com/item?id=23965106 but I've moved them)

We'll re-up that thread (see https://news.ycombinator.com/item?id=11662380 for how this works generally). I'm going to move this comment there as well because it includes more background info than you posted there.

echelon27• 6 years ago

Thanks, dang! :)

suyash2• 6 years ago

what are the legal implications surrounding this now ?

andykx• 6 years ago

I don't think that there are any. Simply writing a program that outputs sounds that resemble someone's voice can't be illegal, right? You can use it in illegal ways, sure, but I don't think there are any laws concerning software like this.

bravoetch• 6 years ago

What is the reason for them being almost all men?

sillysaurusx• 6 years ago

It's extremely hard to get women's voices to sound right in TTS, at least back when I was working on it. It was a striking difference, and I'm not sure why.

e.g. I tried to do an Alyx version of https://www.youtube.com/watch?v=koU3L7WBz_s but it came out sounding nothing like her.

BrendanD• 6 years ago

Need Charles Bukowski model.

toomuchtodo2• 6 years ago

And Samuel L Jackson.

Firerouge• 6 years ago

I skimmed your about, where you mention it as a hobby demo of your deep work.

Do you have a GitHub or technical documentation about how you build this sort of thing to work at scale?

echelon27• 6 years ago

I can make a blog post later, but at a high level:

A rust TTS server hosts two models: a mel inference model and a mel inversion model. The ones I'm using are glow-tts and melgan. They fit together back to back in a pipeline.

I chose these models not for their fidelity, but for their performance. They're 10x faster at inference than Tacotron 2. If you want something that sounds amazing, you're better off with a denser set of networks, like Tacotron 2 + WaveGlow. You should use these for achieving superior offline results for multimedia purposes.

Instead of using graphemes, I'm using ARPABET phonemes, and I get these from a lookup table called "CMUdict" from Carnegie Mellon. In the future I'll supplement this with a model that predicts phonemes for missing entries.

Each TTS server only hosts one or two voices due to memory constraints. These models are huge. This fleet is scaled horizontally. A proxy server sits in front and decodes the request and directs it to the appropriate backend based on a ConfigMap that associates a service with the underlying model. Kubernetes is used to wire all of this up.

minerjoe7• 6 years ago

Can you share the cost of running this system?

calebkaiser• 6 years ago

This is incredibly cool. Do you mind sharing how big the models are, and what kind of instances you're deploying them on?

I ask because I help maintain an open source ML infra project ( https://github.com/cortexlabs/cortex ) and we've recently done a lot of work around autoscaling multi-model endpoints. Always curious to see how others are approaching this.

spdustin• 6 years ago

"…Instead of using graphemes, I'm using ARPABET phonemes…"

Is this why some examples I tried seemed to skip some of the words?

superasn2• 6 years ago

I can make a blog post later, but at a high level:

A detailed blog post about this would be amazing! I wish there was a hn bot like Reddit bots to ping me when you do post it so i don't miss it.

holoduke• 6 years ago

really impressed by this.

echelon27• 6 years ago

Thanks! I kind of want pg to see :)

If he thinks this is egregious, I'll take it down.

programmarchy2• 6 years ago

Looks awesome, but haven't been able to get a result back yet. I think you may be getting hugged to death :)

echelon27• 6 years ago

That's odd. I'm testing it right now and it's working. Which voices are you trying, and which device and browser are you using?

imjared• 6 years ago

I've tried Gilbert Gottfried and NDT. I do get a console error about CORS: > Access to fetch at 'https://mumble.stream/speak_spectrogram' from origin 'https://vo.codes' has been blocked by CORS policy: No 'Access-Control-Allow-Origin' header is present on the requested resource. If an opaque response serves your needs, set the request's mode to 'no-cors' to fetch the resource with CORS disabled.

Using Chrome stable

searchableguy4• 6 years ago

That's super cool.

I am worried about the potential abuse of this service, are there any existing services that can help to identify audio deep fakes like this one is for making them?

Found Resemblyzer: https://github.com/resemble-ai/Resemblyzer

GrantZvolsky2• 6 years ago

Such a system will always suffer from false positives and false negatives.

On a more positive note, when deepfakes become a problem, we will see the emergence of a culture where unsigned authoritative content is not paid any attention.

kibwen• 6 years ago

we will see the emergence of a culture where unsigned authoritative content is not paid any attention

If current events are any indication, that culture will only emerge 30 years after the tech becomes widely usable, and in the interim will lead to absolute chaos in the form of weaponized disinformation.

mywittyname3• 6 years ago

This is a big issue!

Lots of bad things happen, and they are only surfaced because the person in question didn't notice the surreptitious recording. When deep fakes becomes a problem, it will give these people plausible deniability and they can just reject it as "fake news."

underwater• 6 years ago

Photoshop has existed for a long time, but people still take photos at face value.

azinman25• 6 years ago

I wonder if at some point we need to create legal requirements that all deepfakes have some kind of human-invisible (or visible?) fingerprint for identification, restriction on frequency range, etc. We have crypto export restrictions, why not put handcuffs on this as well which has the potential for probably larger scale harm?

searchableguy4• 6 years ago

That will only stop law abiding citizens from committing crime.

Avicebron• 6 years ago

Actually there might be a precedent with the Carrie Fisher from Star Wars. I believe they did use some form of virtualization after she passed..I don't know what the outcome was legally, but it definitely is in this realm.

echelon27• 6 years ago

This is my pandemic side project, and I'll be happy to answer any questions about it.

zevv• 6 years ago

After some experiments with playing text to people around me, we decided that a huge factor in the perceptive quality of the voice comes from knowing who you are listening to before you get to listen, with the best perceived quality when the listener actually gets to see the picture of the voice's owner. Was it a deliberate choice to add those photographs for this reason?

jereees• 6 years ago

You’ve clearly spent a good deal of your time creating this. Bravo. What steps can I take to find more time to dig in projects of my own? Assuming this is not what you make a living out of.

gempir• 6 years ago

Absolutely amazing. Are there any plans to make it open? Open Sourcing it? Paid API in the future? Something like that?

chrispauley• 6 years ago

Extremely fun little tool! Anywhere I can read about the techniques involve?

An interesting quirk: some words seem to get dropped entirely? for example the word "cleverer" and any word with a hyphen.

Really fun to start with a quote from one person and switch between voices to hear others recite the same line. Alan Rickman doing lines from Aladdin as Iago is pretty funny

h3ctic• 6 years ago

Hey! What do you think about running this on a mobile device? What are the current limitations? Since WaveNet we are able to get really good TTS but it's always online. Why aren't there any good TTS engines yet? E.g. for Pocket or similar services

mattigames• 6 years ago

I was wondering, wouldn't it be possible to classify the voice of every celebrity based on moods so one could make the voices less monotonic? So one could then add text metadata for the text-to-speech conversion, e.g. "[Angry] I have a dream, [Calm] but it has a patent so you can't copy it! (laughter) [Calm-fade-to-angry] In reality insomnia took it from me!"

echelon27• 6 years ago

Absolutely. These are called "style tokens" and they're an active area of TTS research.

The problem is that currently your training data has to be annotated with these tokens, and that adds a lot to the difficulty of creating data sets.

I imagine that over time this will get much easier to do.

mywittyname3• 6 years ago

Are there good emotion detectors for speech-to-text? Much like they have for facial recognition?

sunsetMurk2• 6 years ago

Very cool, and easy to use!

Can you give some more info on how you generated the models? I'm also interested in the tech stack you're using to implement this webapp... Would love some details!

..What's next?

lowdose• 6 years ago

What's next?

Text To Video webapp that renders text to video + voice synchronised of famous people.

Who wouldn't like to laugh 5X more when social scrolling?

The first platform that enables creators with the ability to produce deep fakes of celebs from text that they can broadcast as HQ video content to their audience will kill both Youtube & Instagram.

Ranking based on likes so the best jokes of the day are trending on top of the feed.

Recommendation engine with a multibandid ML algo from the start so you can leverage all that incoming data.

sunsetMurk2• 6 years ago

Awesome. here come the 'deepMemes'!

echelon27• 6 years ago

Can you give some more info on how you generated the models?

glow-tts and melgan, which are somewhat unpopular choices given the proliferation of Tacotron2/Waveglow. I chose these due to their sparsity and speed.

I'm also interested in the tech stack you're using to implement this webapp... Would love some details!

It's a Rust microservice architecture. There's a proxy layer that decodes the request and sends it to the appropriate backend, and then there's the tts service that is horizontally scaled and is responsible for loading the model pipeline and turning requests into audio.

..What's next?

For me? Voice conversion in the near term. This takes microphone input and turns it into the target speaker's voice.

I'm also spending a lot of time on photogrammetry. I have a 3d volumetric webcam system right now that I have much bigger plans for.

aww_dang• 6 years ago

Needs more Christopher Walken

echelon27• 6 years ago

I both love your HN username (I hope you don't troll dang), and think that's an awesome suggestion. I don't know why it didn't occur to me.

boarnoah• 6 years ago

On a more positive side to this technology.

I've been wondering about the possibility of using this sort of tech (or the API offerings from Azure or GCP) to provide voice overs in video games.

By that I mean for smaller budget Indie development, it would be certainly interesting to either be able to generate voice audio from transcripts in order to add voices to background NPCs and so on (or even the possibility of doing it at run time to produce much more dynamic worlds).

I guess the biggest blocker is the difficulty in conveying emotion with what is currently available as well as the difficulty in getting pronunciation correct (especially with nouns).

echelon27• 6 years ago

There are half a dozen startups in this space that provide the tech. They use embedded style tokens or sliders to change the emotion, pitch, timbre, etc. I don't have links off hand, but they're not too difficult to find.

These companies tend to focus on off-the-shelf turnkey solutions, so they'll have a suite of a few voice actors to choose from for different character archetypes.

ethbro2• 6 years ago

Out of curiosity, are there legal concerns?

E.g. training off Schwarzenegger and offering an Arnold transform

Dramatize2• 6 years ago

Yep, that's what we're doing at https://replicastudios.com - though we have strict ethical guidelines to not clone a person's voice without their permission.

electriccello• 6 years ago

Check out Modulate.ai! We make real-time, emotive voice skins aimed at gaming voice chat. Audio watermarking is also built-in to prevent fraud. Currently in a closed alpha stage but if you're part of a game studio and have interest please reach out!

minerjoe7• 6 years ago

Minor point. Its nice when people write URL's so that we can just follow as opposed to requiring mouse interactions to cut and paste.

dralley• 6 years ago

On a more positive side to this technology.

I'm not sure that making it easier to profit off of the likeness of others is a positive side. If it's legal for indie studios to do, it's legal for 20th Century Fox, Universal, and so forth.

SkyBelow• 6 years ago

It reduces cost to produce a specific good. I would think it would be measured similar to other technology advancements that do the same. Good for society, bad for the craftsman that were made obsolete, overall net positive.

This is purposefully not counting in the effect of being able to fake people and the damage that does to society, but I think that was implied by the previous poster specifying looking for the more positive side of the technology.

maxerickson• 6 years ago

It doesn't like spelling mistakes.

Ask it to say " The Aristoocrats!" with Gilbert Goddfried.

echelon27• 6 years ago

It's currently sourcing phonemes from a lookup table called CMUdict, which is constructed by Carnegie Mellon [1]. That database has 140,000 entries, but even so, you'd be surprised how many common words are omitted. And of course it is missing terms for things like "pokemon" and "fortnite", which I had to add myself.

I don't have generic grapheme -> phoneme/polyphone prediction, but that's something I look to add soon. In my literature review I didn't see anything in this space, so I was thinking I might have to come up with something novel.

[1] http://www.speech.cs.cmu.edu/cgi-bin/cmudict

nmstoker2• 6 years ago

Espeak-ng has pretty decent English word to phoneme translation. You run it in the mode where it just outputs the IPA. The vocabulary can be extended too (as the coverage is good but far from perfect)

totetsu2• 6 years ago

Espeak-ng also has extensive language rules to turn things like letter and abbreviations into pronounceable text https://github.com/espeak-ng/espeak-ng/blob/master/dictsourc... you can get it's ipa output with "speak-ng -q --ipa=3"

galuggus• 6 years ago

How long does it take to generate a good quality voice?

echelon27• 6 years ago

I trained a base model on the Linda Johnson speech (LJS) data set for several days.

I then transfer learned for each of these speakers. Some speakers have as little as 40 minutes of data, others have up to five hours. The resulting quality isn't strictly a function of the amount of training data, though more typically helps. It's also important to have high fidelity text transcriptions free of errors.

The transfer learning runs vary between six hours and thirty six hours.

I'm using 8xV100 instances to train glow-tts and 2x1080Ti to train melgan. I'm continuously training melgan in the background and simply adding more training data. The same model works for all speakers.

blueblisters• 6 years ago

Have you had any success with using speaker embeddings to generate voices with fewer samples of speech? I did some cursory experiments but I couldn't get too far beyond getting pitch similar to the target speaker.

My reasoning for this approach: IMO, if the model learns a "universal human voice", it shouldn't need too much additional information to get a target voice.

vmception• 6 years ago

This could make video games take up so much less space and have much more robust speech, especially from NPCs.

Subreddit simulator is pretty convincing conversations, putting that to high quality voices? mannnn, so many good applications.

Speaking of which, why don't people just talk about the good applications. You'll get ostracized for speculating more bad things about COVID, but talk about how doomed we potentially are with deep fakes? Give that blogger a pulitzer prize!

echelon27• 6 years ago

This could make video games take up so much less space and have much more robust speech, especially from NPCs.

Maybe, maybe not. You'll see some of the model sizes I posted in comments above. These are quite large, and adding models for multiple speakers gets quite large. These have to live in memory and probably can't be paged in selectively.

Once we achieve high fidelity multi-speaker embedding models (where multiple speakers are encoded in a singular model), then we'll have something compelling. I imagine the models will become less dense over time as well.

Furthermore, if the models are deterministic, then the designers will know what each line will sound like exactly before it's produced.

mmastrac• 6 years ago

I'd love to have an option for Majel Barrett

dsteinman• 6 years ago

I was going to mention the same. It would be a childhood dream come true to talk to my computer and have it talk back to me in the TNG computer voice.

echelon27• 6 years ago

That's a fantastic suggestion! I'll get to it!

minerjoe7• 6 years ago

Hate to be that guy but I can't participate in this discussion due to javascript being required for the landing page.

As an outlier not running javascript, I'm reaping what I sow, but it would be nice to me and others in the same boat if projects make their landing page viewable without the need for javascript.

echelon27• 6 years ago

You can POST to https://mumble.stream/speak for a raw waveform.

Here's a request:

curl 'https://mumble.stream/speak' --compressed -H 'Referer: https://vo.codes/' -H 'Content-Type: application/json' -H 'Origin: https://vo.codes' -H 'Connection: keep-alive' --data-raw '{"text":"testing 12345","speaker":"david-attenborough"}' --output output.wav

The other speaker values:

http://mumble.stream/speakers

thiagocsf• 6 years ago

There’s a text area and a button to say what you typed.

Surely you can enable or use a browser with JavaScript when you choose to?

minerjoe7• 6 years ago

If you don't have javascript you see only "This page requires Javascript", when I would hope, even if the thing requires javascript to operate, I could at least find out if it is worth switching to another machine with X11 and firing up firefox.

jjeaff• 6 years ago

Why don't you just turn on JavaScript?

minerjoe7• 6 years ago

I use links. No javascript.

vedran• 6 years ago

This is great. I've been thinking about doing something similar with cartoon characters to build a Disney-style companion for my son as he gets older. I'm imagining something like an Alexa assistant but with Mickey Mouse's voice.

echelon27• 6 years ago

That's so cute! You should totally do it.

The hardest part of this is in dataset creation. It's hard to clean and annotate the data and can be quite manual. That's why companies with lots of data will win.

There are automated techniques to help with segmentation, bandpass filtering, transcriptions, etc., but they're far from perfect.

pbhjpbhj2• 6 years ago

I know caselaw isn't settled at all on all this but I'd absolutely avoid posting anything on the web mentioning D' and the black and white mouse again unless you are interested in finding out firsthand how the law gets settled here ;o).

Not legal advice, of course.

spyder• 6 years ago

fifteen.ai is doing cartoon voices, some examples here:

https://fifteen.ai/examples

phantom_rehan• 6 years ago

Did you use machine learning ?

echelon27• 6 years ago

Yeah, forks of two open source pytorch models.

https://github.com/jaywalnut310/glow-tts

https://github.com/seungwonpark/melgan

baxtr• 6 years ago

Please add Steve Jobs. I miss him

martinesko36• 6 years ago

Having met some of the people on there, this is uncannily accurate, especially in the High Quality voices. Well done!

1010082• 6 years ago

Can you comment a bit on the tech on this? I tried something similar with songs: I wanted artists X to sing a song from artist Y. I cleaned the voices, the audios, but the transfe rjust didnt work. I didnt do any annotations on the text (it shouldnt be that hard since all lyrics are available), but if you could recommend a path or maybe an open source project I be grateful. Thanks and great work by the way!

echelon27• 6 years ago

Thanks!

There are a lot of neat research threads ongoing in terms of generating vocals.

Nvidia published Mellotron (code + paper + models), and the results are promising:

https://github.com/NVIDIA/mellotron

https://nv-adlr.github.io/Mellotron

The best results I've seen are from researcher Ryuichi Yamamoto (r9y9 on Github). He continually publishes astonishing results and novel architectures:

https://github.com/r9y9

https://github.com/r9y9/nnsvs

https://soundcloud.com/r9y9/sets/dnn-based-singing-voice

These results lead me to believe he's going to have a replacement for Vocaloid soon.

There's lots more stuff out there, and I can come back and edit my post later.

Some folks are getting good results by simply combining Tacotron with autotune:

- https://www.youtube.com/watch?v=3qR8I5zlMHs Mister Rogers sings Beautiful World (amazing, super charming, and shows the promise of this tech)

- https://www.youtube.com/watch?v=K1jrDgbRs9Q (Tupac, possibly NSFW lyrics)

- https://www.youtube.com/watch?v=QW16_W0K3qU (Tupac with various results, possibly NSFW)

There's a lot that gets posted to /r/VocalSynthesis and occasionally /r/MediaSynthesis

1010082• 6 years ago

Thank you very much, I will look at them!

netman21• 6 years ago

I definitely need this. Looks like I have to wait until you are off the front page of HN though.

I am a writer and found that the best editing comes when I am reviewing audio files of my books from voice talent. Of course, then it is way to late to change anything. With a tool like this I can revise as much as I want!

almstimplmntd• 6 years ago

Played with the gilbert gottfried speaker option, gave me serious Twin Peaks "Red Room" vibes.

afarrell• 6 years ago

Is this ethical?

nepthar• 6 years ago

Depends on your system of ethics.

tdeck• 6 years ago

I too expected more discussion of this. People play around with these things because they're interesting, then mostly hand wave away concerns about the implications with "well, people will just have to learn to be skeptical of recordings". But what we're really doing is muddying a previously reliable avenue of gaining quality evidence about the world. I expect this opinion is unpopular on HN but I think people shouldn't be developing these things, companies shouldn't be working on them, and they should be banned before they get to the point of causing real harm. I also believe that can be prevented by drying up funding and research, because bad actors have to rely on the body of existing work to make their bad actions practical.

slickQ• 6 years ago

As NN models get more advanced generating speech synthesis will get progressively more convincing and less expensive to implement, even if the models aren't built for speech synthesis specifically. The same can be said for image generation/transformation. If we are to continue develop AI then this is likely inevitable. There are benefits to these models for mute people, for example. Adversarial models can be built to detect fake audio samples. Regulation (ex: adding tells/signatures in commercial products) would also help. The government would have to ban most AI research or they would only be prolonging the inevitable.

Quequau• 6 years ago

I just want to hear Douglas Rain's voice coming out of my computer.

ReedJessen• 6 years ago

You haven't done very many female voices. Is this a limitation of the modeling process?

ChadTheNomad• 6 years ago

Well, there goes the neighborhood...

modzu2• 6 years ago

i can't be there only one wondering where is Morgan Freeman? :')

modzu2• 6 years ago

who owns the likeness of a voice? anyone? are these legally safe to use in a product?

gitgud• 6 years ago

Gilbert Godfrey sounds like "Bonzi Buddy" from the old desktop widget days... Those were some crazy times

https://en.m.wikipedia.org/wiki/BonziBuddy

rglover2• 6 years ago

Oh jeeze. I had to. Switch it to Bill Gates and pop this in:

I'm going to steal your soul. One injection at a time. Slowly, over the course of the next decade, the entire essence of your being will be demolished until your body is nothing but a vessel for my command.

Balgair• 6 years ago

Needs more flat earth and lizard people references. Throw in some UFO jargon too.

Great work though!

GordonS• 6 years ago

It's pretty childish, but it was quite satisfying to hear George Bush confess to being a war criminal too!

rglover2• 6 years ago

It'd be irresponsible not to be childish with this thing.

Dramatize2• 6 years ago

I think you're going to have legal risks with a project like this. At some point a celebrity is going to sue and we'll find out what the law decides.

blisseyGo• 6 years ago

I keep getting hit with the rate limiter so I wasn't able to try it :(

There was an error and I still haven't implemented retry to make it invisible. You can absolutely submit your request again a few times; this is a self-healing Kubernetes cluster. Some models (voices) get more load than others and/or are scaled to fewer or more pods. There's also a rate limiter, but there aren't error messages yet.

kumarm• 6 years ago

Whats a good open source solution for Text to speech?

Current cloud based solutions from AWS/Google Cloud/Azure are pretty expensive.

iamthemonster• 6 years ago

I assume that if somebody had physically lost their ability to speak, it would now be possible to generate a pretty reasonable synthetic voice. Should we all be archiving a high-quality voice sample as insurance?

The implications for security are huge. If your friend calls you up for a very quick chat from an unknown number and asks you to remind them of your address, are you going to ask for authentication to prove it's really them and not a convincing synthetic voice?

mrthrowmantic• 6 years ago

My bill gates input

"My name is Bill, the lord of computers. I love computers, and they love me too. I'll give you a computer, maybe one, maybe two. If you are lucky it might not even crash on you. Love your computer, like your daughter or your wife, treat it with kindness, and it will reward you for life! I am bill the god of computers. Bow to me now or I will be sod you."

nojvek• 6 years ago

I think the site's being hugged to death by HN. I can't get any of the voices to work, they all error out.

billforsternz• 6 years ago

This is good fun. I went with "Meanwhile, the young males form groups and compete in trials of strength and courage in an attempt to catch the attention of herding females" and surprisingly Richard Nixon sounds just as good saying this as David Attenborough

j-james• 6 years ago

For something with a similar concept, but entirely different execution, see the classic website "Talk Obama To Me".

http://talkobamato.me

superasn2• 6 years ago

Guess the server is overloaded now. All I'm seeing are errors.

Tip: It's a cool idea to put some ready made samples under the photos. A lot of people like myself only want to hear some demos and pre saved mp3 samples are more than sufficient for that sort of thing. It will also help reduce your server loads.

newtoday• 6 years ago

If I supply you with isolated Robert Plant vocals and transcripts, would you consider training a model? That could be some 'interesting' output results with the dynamics and range of his singing.

souravraj95• 6 years ago

hiii

valaymerick• 6 years ago

Is there a reason why no female voice is available in this great project?

Do we have more data on male speech than female speech?

kabacha• 6 years ago

What iconic female voices would you add?

mrwww• 6 years ago

Oprah? Beyonce? Queen Elizabeth?

webmaven2• 6 years ago

What iconic female voices would you add?

Cate Blanchett, Sarah Silverman, Katey Sagal, Jennifer Tilly, Laura Prepon, Viola Davis, Judi Dench, Whoopi Goldberg, Julie Andrews, Lake Bell, Jane Lynch, Joan Rivers, Martha Stewart, Katharine Hepburn, Sarah Vowell, Shoreh Aghdashloo...

jsilence• 6 years ago

Wondering whether there is an androgynous TTS voice that sounds neither male nor female.

shannifin• 6 years ago

Nice work, I love this sort of stuff!

I know there's legal (and perhaps ethical?) issues to work out, but I really wish tech like this, if fine-tuned, could be used to resurrect stuff like Jim Henson's original Kermit voice; the Muppets' new voices all sound horrible. I'd love for fictional character voices to become immortal.

AnnoyingSwede• 6 years ago

WOW!!! :)

riazl• 6 years ago

well done.

cptnapalm• 6 years ago

Apparently alone in the world, I really want a Dalek voice.

Show HN: Neural text to speech with dozens of celebrity voices

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