Last October, Google made Cloud Text-to-Speech with realistic WaveNet voices from DeepMind available to all developers. Updates to Cloud TTS and Speech-to-Text today introduce additional languages ...

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

Google announced the general availability of a slew of new Cloud Speech-to-Text and Text-to-Speech features, including Audio Profiles, WaveNet-generated voices, multi-lingual detection, and more.

Speech-to-Text, which is delivered as an application programming interface in Google Cloud, doesn’t just turn audio files into text but also provides advanced features that allow enterprises to ...

Google Cloud outlined Cloud Text-to-Speech a machine learning service that uses a model by Google's Deepmind subsidiary to analyze raw audio. With the move, developers will get more access to the ...

Thanks to a series of updates, Google's Cloud Text-to-Speech services now boasts 187 total voices and 95 total WaveNet voices.

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.

Cloud Text-to-Speech can be used by new-app developers to read this article out loud to users, or as part of a connected devices that would like to address its users with natural language.

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

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 ...