The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 25, 2019
Filed:
Nov. 21, 2016
Baidu Usa, Llc, Sunnyvale, CA (US);
Bryan Catanzaro, Cupertino, CA (US);
Jingdong Chen, Beijing, CN;
Mike Chrzanowski, Sunnyvale, CA (US);
Erich Elsen, Mountain View, CA (US);
Jesse Engel, Oakland, CA (US);
Christopher Fougner, Palo Alto, CA (US);
Xu Han, Sunnyvale, CA (US);
Awni Hannun, Palo Alto, CA (US);
Ryan Prenger, Oakland, CA (US);
Sanjeev Satheesh, Sunnyvale, CA (US);
Shubhabrata Sengupta, Menlo Park, CA (US);
Dani Yogatama, Sunnyvale, CA (US);
Chong Wang, Redmond, WA (US);
Jun Zhan, San Jose, CA (US);
Zhenyao Zhu, Mountain View, CA (US);
Dario Amodei, San Francisco, CA (US);
Baidu USA, LLC, Sunnyvale, CA (US);
Abstract
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.