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Kaizen: Continuously improving teacher using Exponential Moving Average for semi-supervised speech recognition

Jun 14, 2021
Vimal Manohar, Tatiana Likhomanenko, Qiantong Xu, Wei-Ning Hsu, Ronan Collobert, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed

* 4 figures, 7 pages; fixed author list going out of margin 

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Improving RNN Transducer Based ASR with Auxiliary Tasks

Nov 09, 2020
Chunxi Liu, Frank Zhang, Duc Le, Suyoun Kim, Yatharth Saraf, Geoffrey Zweig

* Accepted for publication at IEEE Spoken Language Technology Workshop (SLT), 2021 

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Fast, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces

May 19, 2020
Frank Zhang, Yongqiang Wang, Xiaohui Zhang, Chunxi Liu, Yatharth Saraf, Geoffrey Zweig

* submitted to interspeech 2020 

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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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Contextualizing ASR Lattice Rescoring with Hybrid Pointer Network Language Model

May 15, 2020
Da-Rong Liu, Chunxi Liu, Frank Zhang, Gabriel Synnaeve, Yatharth Saraf, Geoffrey Zweig

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Multi-modal Self-Supervision from Generalized Data Transformations

Mar 09, 2020
Mandela Patrick, Yuki M. Asano, Ruth Fong, João F. Henriques, Geoffrey Zweig, Andrea Vedaldi

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Training ASR models by Generation of Contextual Information

Oct 27, 2019
Kritika Singh, Dmytro Okhonko, Jun Liu, Yongqiang Wang, Frank Zhang, Ross Girshick, Sergey Edunov, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed

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Deja-vu: Double Feature Presentation in Deep Transformer Networks

Oct 23, 2019
Andros Tjandra, Chunxi Liu, Frank Zhang, Xiaohui Zhang, Yongqiang Wang, Gabriel Synnaeve, Satoshi Nakamura, Geoffrey Zweig

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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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From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition

Oct 11, 2019
Duc Le, Xiaohui Zhang, Weiyi Zheng, Christian Fügen, Geoffrey Zweig, Michael L. Seltzer

* To appear at ASRU 2019 

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Multilingual ASR with Massive Data Augmentation

Sep 14, 2019
Chunxi Liu, Qiaochu Zhang, Xiaohui Zhang, Kritika Singh, Yatharth Saraf, Geoffrey Zweig

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An Attentional Neural Conversation Model with Improved Specificity

Jun 03, 2016
Kaisheng Yao, Baolin Peng, Geoffrey Zweig, Kam-Fai Wong

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End-to-end LSTM-based dialog control optimized with supervised and reinforcement learning

Jun 03, 2016
Jason D. Williams, Geoffrey Zweig

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Attention with Intention for a Neural Network Conversation Model

Nov 05, 2015
Kaisheng Yao, Geoffrey Zweig, Baolin Peng

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Language Models for Image Captioning: The Quirks and What Works

Oct 14, 2015
Jacob Devlin, Hao Cheng, Hao Fang, Saurabh Gupta, Li Deng, Xiaodong He, Geoffrey Zweig, Margaret Mitchell

* See for project information 

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Sequence-to-Sequence Neural Net Models for Grapheme-to-Phoneme Conversion

Aug 20, 2015
Kaisheng Yao, Geoffrey Zweig

* Published in INTERSPEECH 2015, Dresden, Germany 

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From Captions to Visual Concepts and Back

Apr 14, 2015
Hao Fang, Saurabh Gupta, Forrest Iandola, Rupesh Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig

* version corresponding to CVPR15 paper 

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