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Flexi-Transducer: Optimizing Latency, Accuracy and Compute forMulti-Domain On-Device Scenarios


Apr 06, 2021
Jay Mahadeokar, Yangyang Shi, Yuan Shangguan, Chunyang Wu, Alex Xiao, Hang Su, Duc Le, Ozlem Kalinli, Christian Fuegen, Michael L. Seltzer

* Submitted to Interspeech 2021 (under review) 

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Dynamic Encoder Transducer: A Flexible Solution For Trading Off Accuracy For Latency


Apr 05, 2021
Yangyang Shi, Varun Nagaraja, Chunyang Wu, Jay Mahadeokar, Duc Le, Rohit Prabhavalkar, Alex Xiao, Ching-Feng Yeh, Julian Chan, Christian Fuegen, Ozlem Kalinli, Michael L. Seltzer

* 5 pages, 2 figures, submitted Interspeech 2021 

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Contrastive Semi-supervised Learning for ASR


Mar 09, 2021
Alex Xiao, Christian Fuegen, Abdelrahman Mohamed


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Transformer in action: a comparative study of transformer-based acoustic models for large scale speech recognition applications


Oct 29, 2020
Yongqiang Wang, Yangyang Shi, Frank Zhang, Chunyang Wu, Julian Chan, Ching-Feng Yeh, Alex Xiao

* submitted to ICASSP2021 

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Large scale weakly and semi-supervised learning for low-resource video ASR


May 16, 2020
Kritika Singh, Vimal Manohar, Alex Xiao, Sergey Edunov, Ross Girshick, Vitaliy Liptchinsky, Christian Fuegen, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed


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Transformer-based Acoustic Modeling for Hybrid Speech Recognition


Oct 22, 2019
Yongqiang Wang, Abdelrahman Mohamed, Duc Le, Chunxi Liu, Alex Xiao, Jay Mahadeokar, Hongzhao Huang, Andros Tjandra, Xiaohui Zhang, Frank Zhang, Christian Fuegen, Geoffrey Zweig, Michael L. Seltzer


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