Google Inc.

Melvin Johnson

Yonghui Wu

Ron J Weiss

Zhifeng Chen

Fadi Biadsy

Ye Jia

Wolfgang Macherey

The present disclosure provides systems and methods that train and use machine-learned models such as, for example, sequence-to-sequence models, to perform direct and text-free speech-to-speech translation. In particular, aspects of the present disclosure provide an attention-based sequence-to-sequence neural network which can directly translate speech from one language into speech in another language, without relying on an intermediate text representation.

Growing community of inventors

Sunnyvale, CA, United States of America

Melvin Johnson