North Weber & Baugh LLP
End-to-end speech recognition
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.
Baidu USA, LLC
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Erich Zhenyao Xu Bryan Ryan Mike Jesse Awni Sanjeev Chong Jun Dario Christopher Shubhabrata Jingdong Dani
Elsen Zhu Han Catanzaro Prenger Chrzanowski Engel Hannun Satheesh Wang Zhan Amodei Fougner Sengupta Chen Yogatama