Play.ht offers some of the best AI voices to help you create realistic AI voiceovers for your videos, presentations, education and other projects. Play.ht's state-of-the-art Text to Speech editor allows you to create the voiceover according to your needs. You can use multiple AI voices to create conversation-like audio and use full SSML features to enhance your audio.
Play.ht also allows you to embed and distribute your audio files. You can embed the audio using our audio player widgets to increase accessibility on your articles or web-pages. You can use our Podcasting solution to distribute your audio files as podcasts to iTunes and Spotify.
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There aren't really any models that produce realistic real-time voice. I'd recommend ElevenLabs or play.ht, sadly these seem to be the only useable options for now. Source: 5 months ago
I've used play.ht before. Very easy to use. Source: 10 months ago
Does anyone know what they are using and if its possible to get it and run it locally? I have a lot of text to voice (1 500 000 characters, 300 000 words) so using services as elevenlabs or play.ht would be pretty expensive. The quality is secondary to it being reasonably fast (got a 2060 super, dont want to run it for 4 months straight to generate all this dialogue). Source: 11 months ago
My experience with play.ht wasn't positive, had way better luck paying the eleven labs premium. Source: 11 months ago
(The biggest problem I have with play.ht is it won't do some things because "Your content violates our standards" and that is for "fight scenes" written over 100 years ago). Source: 11 months ago
For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: 12 months ago
We even host annual poster sessions of those PhD intern’s work while at our company, and it’ll give you an idea of the caliber of work. It may not be as great as Nvidia, Stryker, Waymo, or Tesla (which are not part of MAANG but I believe are far more ahead in CV), but it’s worth of considering. Source: about 1 year ago
They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / about 2 years ago
They're more subtle about it, I think. https://machinelearning.apple.com/ Some of the papers are pretty good. I don't disagree with your sentiment in aggregate, though. Source: about 2 years ago
Siri is not where it needs to be because Apple refuses to mine user data to enrich it. They also are very hesitant to allow researchers to publish their breakthroughs which makes recruitment very hard. Although this is changing https://machinelearning.apple.com/. - Source: Hacker News / about 2 years ago
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