Google, YouTube’s parent company, has invested heavily in speech recognition research. Their Cloud Speech-to-Text API is one of the most advanced in the world, and its technology forms the backbone of YouTube’s captioning system. The API uses neural networks to process audio, identify phonemes (the smallest units of sound), and assemble them into words and sentences. - Source: dev.to / 11 days ago

Cloud-based speech recognition solutions, such as Google Cloud Speech-to-Text and Microsoft Azure Speech, have gained popularity due to their accessibility, power, and scalability. Developers gain access to ready-to-use APIs with high-quality speech recognition models. However, behind this convenience are several important technical aspects that need to be considered when choosing a cloud solution. - Source: dev.to / 5 months ago

APIs from Major Providers. Leading tech companies offer SDKs that support on-premise speech recognition, such as Lingvanex On-premise Speech Recognition, Google’s Speech-to-Text and Microsoft’s Speech SDK. Although these may offer more functionalities, it’s essential to evaluate their suitability for local processing. **Custom Solutions. - Source: dev.to / 7 months ago

Feed the audio file to Google's text-to-speech engine: Https://cloud.google.com/speech-to-text. Source: almost 2 years ago

Also known as voice-to-text, speech recognition software is another technology that provides computer assistance and increased accessibility to disabled individuals. With it, blind and visually impaired people can use the Internet to navigate, type, as well as interact with web content using their voice. Source: about 2 years ago

I'm bullish on web components too. In fact, we're currently hard at work betting our entire company (https://talkjs.com) on it. I agree with Nolan here that performance is fine. People keep comparing web components to React or Solid components, but the latter inherently have a tiny granularity whereas web components is a way to distribute reuseable elements, not an application framework on its own.... - Source: Hacker News / 7 months ago

To be frank I quite like this idea. Can’t we standardize it somehow and add it to other email clients too? IMO the fallback, that internally it’s just a regular, human-readable email, is quite neat (though I wonder how they dealt with other languages than English - do they know which language the email is in? Is it just always English? That’d be bad). I work on a chat component library (https://talkjs.com) and we... - Source: Hacker News / 10 months ago

Our stack is mainly TypeScript, React, Elixir and PostgreSQL. 80% of the company is product people, founders are a designer and a programmer. TalkJS touches millions of people and is growing quickly. We want to be the tool that every developer thinks of for building communication features, a bit like what Stripe is for payments. To accomplish this, we give great engineers the maximum amount of freedom, so they can... - Source: Hacker News / almost 2 years ago

Don’t use third-party libraries like TalkJs to integrate the real-time functionality. - Source: dev.to / about 2 years ago

Hello guys, I have just implemented a chat application between users in my Django project (just using HTTP requests). I am trying to deploy the project asap, do you think I should use Django channels? How hard is it to convert my already working application? I have also found this service on the internet (https://talkjs.com/). Do you think it could be a great idea to launch the website as it is now, and later on,... Source: over 2 years ago