GOOGLE VOICE RECOGNITION
Google voice recognition is Google's proprietary technology for recognizing voice and converting it into text. In 2018, a separate function of this name, the one that responded to "OK, Google," was removed from smartphones and added to the Google Assistant, and the technology was renamed Google Text-to-Speech.
Now you can use the Text-to-Speech API to connect powerful Google AI resources to your project.
Text conversion, subtitles, and voice commands can all be implemented with Google voice recognition. Your app will be able to automatically recognize voices in videos and display them in text, convert voice messages to text, and respond to certain commands. Which of these features your app needs depends on its purpose, but no one forbids you to use all of them at once.
You can use one or more of the already trained models, including highly specialized ones, to improve transcription quality. You can also train your own model based on your users' requests. One of the additional tools of the service can automatically change the corresponding words to numbers, addresses, currency signs, etc. In addition, you can expand the capabilities of your customer service system by adding IVR (interactive voice response) and agent conversations to your call centers. Perform analytics on these conversations to gain more insights into calls and your customers.
If you have a Pixel and use Gboard, Google's keyboard app, and speak English, voice recognition doesn't require a network connection anymore. For this, developers needed only 80 MB of your Google smartphone's memory. This technology is only two years old, but it works great, and Google is going to develop it further.
If you need an all-in-one speech recognition solution for Android devices and beyond, there's no better option than Google Text-to-Speech. We offer you the most advanced Google deep learning neural network algorithms for automatic speech recognition (ASR) and a customizable conversion interface for your project. Plus, you can deploy recognition capabilities not only in the cloud but also on-premises.
At the same time, using Google Cloud will cost you $0.004-0.009 for every 15 seconds of recognition. It's very inexpensive considering the number of opportunities for the same call analytics. But the main reason to use Google Text-to-Speech is to improve the service and increase the inclusiveness of your project, which users will definitely appreciate.