Google’s Cloud Speed-to-Text API can be used to transcribe short and long-form audio in 120 languages and dialects in near real-time.

Google Cloud on Tuesday announced the general availability of its Cloud Text-to-Speech API, which lets developers add natural-sounding speech to their devices or applications.

Following last month’s Cloud Text-to-Speech update that added more natural voices through DeepMind WaveNet models, Google is now revamping the inverse of that API. Cloud Speech-to-Text is today ...

According to Google, Cloud Text-to-Speech can be used to power call center voice response systems, enabling Internet of things devices to talk and converting text-based media into spoken formats.

The Google Cloud Speech-to-Text API got a series of upgrades today, including the ability to speak 7 new languages, as well as more automatic punctuation.

Since 2017, Google Cloud has offered a Speech-to-Text (STT) API that third-parties can take advantage of in their own services. The newest models for Google speech recognition improve accuracy due ...

The Cloud Speech API, in a nutshell, allows third-party developers and companies to integrate Google’s speech recognition smarts into their own products.

With the service, Google is targeting three main markets, including voice response systems for call centers, for which Cloud Text-to-Speech can provide real-time, natural-language conversation.

Google Cloud’s Text-to-Speech and Speech-to-Text APIs are getting a bunch of updates today that introduce support for more languages, make it easier to hear auto-generated voices on different ...