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Large vocabulary speech recognition for languages of Africa: multilingual modeling and self-supervised learning


Aug 05, 2022
Sandy Ritchie, You-Chi Cheng, Mingqing Chen, Rajiv Mathews, Daan van Esch, Bo Li, Khe Chai Sim


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UserLibri: A Dataset for ASR Personalization Using Only Text


Jul 02, 2022
Theresa Breiner, Swaroop Ramaswamy, Ehsan Variani, Shefali Garg, Rajiv Mathews, Khe Chai Sim, Kilol Gupta, Mingqing Chen, Lara McConnaughey

* Accepted for publication in Interspeech 2022. 9 total pages with appendix, 9 total tables, 5 total figures 

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Online Model Compression for Federated Learning with Large Models


May 06, 2022
Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Fran├žoise Beaufays, Rajiv Mathews, Mingqing Chen

* Submitted to INTERSPEECH 2022 

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Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model


Feb 16, 2022
Hao Zhang, You-Chi Cheng, Shankar Kumar, W. Ronny Huang, Mingqing Chen, Rajiv Mathews

* arXiv admin note: substantial text overlap with arXiv:2108.11943 

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Efficient and Private Federated Learning with Partially Trainable Networks


Oct 06, 2021
Hakim Sidahmed, Zheng Xu, Ankush Garg, Yuan Cao, Mingqing Chen


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Position-Invariant Truecasing with a Word-and-Character Hierarchical Recurrent Neural Network


Sep 01, 2021
Hao Zhang, You-Chi Cheng, Shankar Kumar, Mingqing Chen, Rajiv Mathews


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Communication-Efficient Agnostic Federated Averaging


Apr 06, 2021
Jae Ro, Mingqing Chen, Rajiv Mathews, Mehryar Mohri, Ananda Theertha Suresh


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Generative Models for Effective ML on Private, Decentralized Datasets


Nov 15, 2019
Sean Augenstein, H. Brendan McMahan, Daniel Ramage, Swaroop Ramaswamy, Peter Kairouz, Mingqing Chen, Rajiv Mathews, Blaise Aguera y Arcas

* 27 pages, 8 figures 

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Federated Learning of N-gram Language Models


Oct 08, 2019
Mingqing Chen, Ananda Theertha Suresh, Rajiv Mathews, Adeline Wong, Cyril Allauzen, Fran├žoise Beaufays, Michael Riley

* 10 pages 

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