Baidu USA LLC

Jingdong Chen

Xu Han

Bryan Catanzaro

Ryan Prenger

Jun Zhan

Sanjeev Satheesh

Jesse Engel

Zhenyao Zhu

Erich Elsen

Awni Hannun

Shubhabrata Sengupta

Christopher Fougner

Chong Wang

Mike Chrzanowski

Dario Amodei

Dani Yogatama

Embodiments of end-to-end deep learning systems and methods are disclosed to recognize speech of vastly different languages, such as English or Mandarin Chinese. In embodiments, the entire pipelines of hand-engineered components are replaced with neural networks, and the end-to-end learning allows handling a diverse variety of speech including noisy environments, accents, and different languages. Using a trained embodiment and an embodiment of a batch dispatch technique with GPUs in a data center, an end-to-end deep learning system can be inexpensively deployed in an online setting, delivering low latency when serving users at scale.

End-to-end speech recognition

Deployed end-to-end speech recognition

Growing community of inventors

Beijing, China

Jingdong Chen