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 ...

In total, Cloud Text-to-Speech supports 14 languages and variants, 56 voices with 30 standard voices and 26 WaveNet voices, according to Google.

With the release of Audio Profiles, you can optimize Cloud Text-to-Speech for playback on different types of hardware. There are also updates to the counterpart Cloud Speech-to-Text API.

A year after its launch, the Cloud Speech API gets more capabilities that take it beyond Google's internal needs.

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 announced the general availability of Cloud Text-to-Speech, which allows developers to add natural-sounding speech to their devices or applications. Furthermore, Google also announced ...

Google’s Cloud Speech API, which has allowed developers to use Google’s services to transcribe spoken words into text since its launch in 2016, is getting a major update today.