Publications

Our publications provide insight into some of our leading-edge research.

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2020

MarbleNet: Deep 1D Time-Channel Separable Convolutional Neural Network for Voice Activity Detection
Fei Jia, Somshubra Majumdar, Boris Ginsburg
Improving Noise Robustness of an End-to-End Neural Model for Automatic Speech Recognition
Jagadeesh Balam, Jocelyn Huang, Vitaly Lavrukhin, Slyne Deng, Somshubra Majumdar, Boris Ginsburg
SpeakerNet: 1D Depth-wise Separable Convolutional Network for Text-Independent Speaker Recognition and Verification
Nithin Rao Koluguri, Jason Li, Vitaly Lavrukhin, Boris Ginsburg
Cross-Language Transfer Learning and Domain Adaptation for End-to-End Automatic Speech Recognition
Jocelyn Huang, Oleksii Kuchaiev, Patrick O’Neill, Vitaly Lavrukhin, Jason Li, Adriana Flores, Georg Kucsko, Boris Ginsburg
MatchboxNet - 1D Time-Channel Separable Convolutional Neural Network Architecture for Speech Commands Recognition
Somshubra Majumdar, Boris Ginsburg

2019

Correction of Automatic Speech Recognition with Transformer Sequence-To-Sequence Model
Oleksii Hrinchuk, Mariya Popova, Boris Ginsburg
QuartzNet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions
Samuel Kriman, Stanislav Beliaev, Boris Ginsburg, Jocelyn Huang, Oleksii Kuchaiev, Vitaly Lavrukhin, Ryan Leary, Jason Li, Yang Zhang
Jasper: An End-to-End Convolutional Neural Acoustic Model
Jason Li, Vitaly Lavrukhin, Boris Ginsburg, Ryan Leary, Oleksii Kuchaiev, Jonathan M. Cohen, Huyen Nguyen, Ravi Teja Gadde