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Input Length Matters: An Empirical Study Of RNN-T And MWER Training For Long-form Telephony Speech Recognition


Oct 08, 2021
Zhiyun Lu, Yanwei Pan, Thibault Doutre, Liangliang Cao, Rohit Prabhavalkar, Chao Zhang, Trevor Strohman


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Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models


Apr 06, 2021
Zhiyun Lu, Wei Han, Yu Zhang, Liangliang Cao

* Submitted to INTERSPEECH 2021 

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Improving Streaming Automatic Speech Recognition With Non-Streaming Model Distillation On Unsupervised Data


Oct 22, 2020
Thibault Doutre, Wei Han, Min Ma, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Arun Narayanan, Ananya Misra, Yu Zhang, Liangliang Cao


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Uncertainty Estimation with Infinitesimal Jackknife, Its Distribution and Mean-Field Approximation


Jun 13, 2020
Zhiyun Lu, Eugene Ie, Fei Sha


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Speech Sentiment Analysis via Pre-trained Features from End-to-end ASR Models


Nov 21, 2019
Zhiyun Lu, Liangliang Cao, Yu Zhang, Chung-Cheng Chiu, James Fan


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Hyper-parameter Tuning under a Budget Constraint


Feb 01, 2019
Zhiyun Lu, Chao-Kai Chiang, Fei Sha


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Kernel Approximation Methods for Speech Recognition


Jan 13, 2017
Avner May, Alireza Bagheri Garakani, Zhiyun Lu, Dong Guo, Kuan Liu, Aurélien Bellet, Linxi Fan, Michael Collins, Daniel Hsu, Brian Kingsbury, Michael Picheny, Fei Sha


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Learning Compact Recurrent Neural Networks


Apr 09, 2016
Zhiyun Lu, Vikas Sindhwani, Tara N. Sainath


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A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition


Mar 18, 2016
Zhiyun Lu, Dong Guo, Alireza Bagheri Garakani, Kuan Liu, Avner May, Aurelien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha

* arXiv admin note: text overlap with arXiv:1411.4000 

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How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets


Jun 17, 2015
Zhiyun Lu, Avner May, Kuan Liu, Alireza Bagheri Garakani, Dong Guo, Aurélien Bellet, Linxi Fan, Michael Collins, Brian Kingsbury, Michael Picheny, Fei Sha


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