Jason Li
Deep Learning Software Engineer, NVIDIA

Jason (Jing Yao) Li is a deep learning software engineer on the AI applications team at NVIDIA. He earned his BASc and MScAC at the University of Toronto working with Roger Grosse and Jimmy Ba. His research focus is on sequence-to-sequence models and speech, specifically in the domains of speech synthesis and speech recognition.

Sessions

2:30pm–3:10pm Thursday, October 31, 2019

Location: Grand Ballroom C/D

Speech recognition with OpenSeq2Seq

Text, language, speech

Jason Li (NVIDIA), Vitaly Lavrukhin (NVIDIA)

Average rating:

(5.00, 1 rating)

OpenSeq2Seq provides a large set of state-of-the-art models and building blocks for automatic speech recognition (Jasper, wav2letter, DeepSpeech2), speech synthesis (Centaur, Tacotron2), and natural language processing. Jason Li and Vitaly Lavrukhin explore large vocabulary speech recognition and speech command recognition tasks to solve these problems with OpenSeq2Seq. Read more.