My friend was a contractor for Hindi TTS at Google https://cloud.google.com/text-to-speech. - Source: Hacker News / 3 months ago

I created an Anki Deck with all of the words from Mini Kore and 300+ Mini Kore sentences from the various documents on minilanguage.com. The deck includes audio for all words and sentences. Audio was generated using the Google Text-to-Speech API. The deck can be found here:. Source: about 1 year ago

Under the hood, it is powered by: - Remotion - Google TTS - OpenAI. Source: about 1 year ago

Text-to-Speech: Lifelike Speech Synthesis  |  Google Cloud. Source: about 1 year ago

Thanks! The synth is Dreamtonics' Synthesizer V, using the SOLARIA voice database from Eclipsed Sounds. What really sold it to me was listening to some beautifully crafted covers from this YouTube channel: https://www.youtube.com/watch?v=KX0lcVr9ugI), which was quite interesting and somewhat pleasant sounding for spoken word vocals, but didn't really have the range or expressiveness I was looking for. - Source: Hacker News / about 1 year ago

Important APIs - ml5 for in-browser detection, face-api that uses tensorflow-node to accelerate on-server detection. VueUse for a bunch of useful component tools like the QR Code generator. Yahoo's Gifshot for creating gif files in-browser etc. - Source: dev.to / over 1 year ago

See also: https://ml5js.org/ "The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.". - Source: Hacker News / almost 2 years ago

I used ml5js.org , p5js.org and https://teachablemachine.withgoogle.com to train the Banana images. When you create a new image project on Teachable Machine, you can output the p5js and basically use it right out of the box - I customized js, css, and html from there. Source: over 2 years ago

Going forward: I'll be 100% into JavaScript. You can use JavaScript in so many fields nowadays. Websites React, Mobile Apps React Native, Machine Learning TensorFlow & ML5, Desktop Applications Electron, and of course the backend Node as well. It's kind of a no-brainer. Of course, they all have specific languages that are better, but for now, JavaScript is a bit of a catch-all. - Source: dev.to / over 2 years ago

From other comments, a lot of JavaScript developers who want to use TensorFlow had never heard of TensorFlow.js or ml5.js! Source: over 2 years ago