W. Ronny Huang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 52

Top Topics

Speech Recognition

Top Venues

Publications

W. Ronny Huang, Cyril Allauzen, Tongzhou Chen, Kilol Gupta, Ke Hu, James Qin, Yu Zhang, Yongqiang Wang, Shuo-Yiin Chang, Tara N. Sainath
Multilingual and Fully Non-Autoregressive ASR with Large Language Model Fusion: A Comprehensive Study. ICASSP (2024)
W. Ronny Huang, Cyril Allauzen, Tongzhou Chen, Kilol Gupta, Ke Hu, James Qin, Yu Zhang, Yongqiang Wang, Shuo-Yiin Chang, Tara N. Sainath
Multilingual and Fully Non-Autoregressive ASR with Large Language Model Fusion: A Comprehensive Study. CoRR (2024)
Hillary Ngai, Rohan Agrawal, Neeraj Gaur, W. Ronny Huang, Parisa Haghani, Pedro Moreno Mengibar
Audio-Adapterfusion: A Task-Id-Free Approach for Efficient and Non-Destructive Multi-Task Speech Recognition. ASRU (2023)
Tongzhou Chen, Cyril Allauzen, Yinghui Huang, Daniel S. Park, David Rybach, W. Ronny Huang, Rodrigo Cabrera, Kartik Audhkhasi, Bhuvana Ramabhadran, Pedro J. Moreno, Michael Riley
Large-Scale Language Model Rescoring on Long-Form Data. ICASSP (2023)
Cal Peyser, Michael Picheny, Kyunghyun Cho, Rohit Prabhavalkar, W. Ronny Huang, Tara N. Sainath
A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale. ICASSP (2023)
Hillary Ngai, Rohan Agrawal, Neeraj Gaur, W. Ronny Huang, Parisa Haghani, Pedro Moreno Mengibar
Audio-AdapterFusion: A Task-ID-free Approach for Efficient and Non-Destructive Multi-task Speech Recognition. CoRR (2023)
Tongzhou Chen, Cyril Allauzen, Yinghui Huang, Daniel S. Park, David Rybach, W. Ronny Huang, Rodrigo Cabrera, Kartik Audhkhasi, Bhuvana Ramabhadran, Pedro J. Moreno, Michael Riley
Large-scale Language Model Rescoring on Long-form Data. CoRR (2023)
W. Ronny Huang, Hao Zhang, Shankar Kumar, Shuo-Yiin Chang, Tara N. Sainath
Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR. INTERSPEECH (2023)
Cal Peyser, Michael Picheny, Kyunghyun Cho, Rohit Prabhavalkar, W. Ronny Huang, Tara N. Sainath
A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale. CoRR (2023)
W. Ronny Huang, Hao Zhang, Shankar Kumar, Shuo-Yiin Chang, Tara N. Sainath
Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR. CoRR (2023)
W. Ronny Huang, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, David Rybach, Robert David, Rohit Prabhavalkar, Cyril Allauzen, Cal Peyser, Trevor D. Strohman
E2E Segmentation in a Two-Pass Cascaded Encoder ASR Model. ICASSP (2023)
W. Ronny Huang, Cal Peyser, Tara N. Sainath, Ruoming Pang, Trevor Strohman, Shankar Kumar
Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition. CoRR (2022)
Weiran Wang, Tongzhou Chen, Tara N. Sainath, Ehsan Variani, Rohit Prabhavalkar, W. Ronny Huang, Bhuvana Ramabhadran, Neeraj Gaur, Sepand Mavandadi, Cal Peyser, Trevor Strohman, Yanzhang He, David Rybach
Improving Rare Word Recognition with LM-aware MWER Training. INTERSPEECH (2022)
Zhong Meng, Tongzhou Chen, Rohit Prabhavalkar, Yu Zhang, Gary Wang, Kartik Audhkhasi, Jesse Emond, Trevor Strohman, Bhuvana Ramabhadran, W. Ronny Huang, Ehsan Variani, Yinghui Huang, Pedro J. Moreno
Modular Hybrid Autoregressive Transducer. CoRR (2022)
W. Ronny Huang, Steve Chien, Om Dipakbhai Thakkar, Rajiv Mathews
Detecting Unintended Memorization in Language-Model-Fused ASR. INTERSPEECH (2022)
W. Ronny Huang, Shuo-Yiin Chang, David Rybach, Rohit Prabhavalkar, Tara N. Sainath, Cyril Allauzen, Cal Peyser, Zhiyun Lu
E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR. CoRR (2022)
Zhong Meng, Tongzhou Chen, Rohit Prabhavalkar, Yu Zhang, Gary Wang, Kartik Audhkhasi, Jesse Emond, Trevor Strohman, Bhuvana Ramabhadran, W. Ronny Huang, Ehsan Variani, Yinghui Huang, Pedro J. Moreno
Modular Hybrid Autoregressive Transducer. SLT (2022)
Hao Zhang, You-Chi Cheng, Shankar Kumar, W. Ronny Huang, Mingqing Chen, Rajiv Mathews
Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model. CoRR (2022)
W. Ronny Huang, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, David Rybach, Robert David, Rohit Prabhavalkar, Cyril Allauzen, Cal Peyser, Trevor D. Strohman
E2E Segmentation in a Two-Pass Cascaded Encoder ASR Model. CoRR (2022)
W. Ronny Huang, Shuo-Yiin Chang, David Rybach, Tara N. Sainath, Rohit Prabhavalkar, Cal Peyser, Zhiyun Lu, Cyril Allauzen
E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR. INTERSPEECH (2022)
W. Ronny Huang, Steve Chien, Om Thakkar, Rajiv Mathews
Detecting Unintended Memorization in Language-Model-Fused ASR. CoRR (2022)
W. Ronny Huang, Cal Peyser, Tara N. Sainath, Ruoming Pang, Trevor D. Strohman, Shankar Kumar
Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition. INTERSPEECH (2022)
Cal Peyser, W. Ronny Huang, Andrew Rosenberg, Tara N. Sainath, Michael Picheny, Kyunghyun Cho
Towards Disentangled Speech Representations. INTERSPEECH (2022)
Weiran Wang, Tongzhou Chen, Tara N. Sainath, Ehsan Variani, Rohit Prabhavalkar, W. Ronny Huang, Bhuvana Ramabhadran, Neeraj Gaur, Sepand Mavandadi, Cal Peyser, Trevor Strohman, Yanzhang He, David Rybach
Improving Rare Word Recognition with LM-aware MWER Training. CoRR (2022)
Tara N. Sainath, Yanzhang He, Arun Narayanan, Rami Botros, Weiran Wang, David Qiu, Chung-Cheng Chiu, Rohit Prabhavalkar, Alexander Gruenstein, Anmol Gulati, Bo Li, David Rybach, Emmanuel Guzman, Ian McGraw, James Qin, Krzysztof Choromanski, Qiao Liang, Robert David, Ruoming Pang, Shuo-Yiin Chang, Trevor Strohman, W. Ronny Huang, Wei Han, Yonghui Wu, Yu Zhang
Improving The Latency And Quality Of Cascaded Encoders. ICASSP (2022)
Hao Zhang, You-Chi Cheng, Shankar Kumar, W. Ronny Huang, Mingqing Chen, Rajiv Mathews
Capitalization Normalization for Language Modeling with an Accurate and Efficient Hierarchical RNN Model. ICASSP (2022)
Cal Peyser, W. Ronny Huang, Tara N. Sainath, Rohit Prabhavalkar, Michael Picheny, Kyunghyun Cho
Dual Learning for Large Vocabulary On-Device ASR. SLT (2022)
Jonas Geiping, Liam H. Fowl, W. Ronny Huang, Wojciech Czaja, Gavin Taylor, Michael Moeller, Tom Goldstein
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching. ICLR (2021)
Bo Li, Ruoming Pang, Tara N. Sainath, Anmol Gulati, Yu Zhang, James Qin, Parisa Haghani, W. Ronny Huang, Min Ma, Junwen Bai
Scaling End-to-End Models for Large-Scale Multilingual ASR. ASRU (2021)
W. Ronny Huang, Tara N. Sainath, Cal Peyser, Shankar Kumar, David Rybach, Trevor Strohman
Lookup-Table Recurrent Language Models for Long Tail Speech Recognition. CoRR (2021)
Bo Li, Ruoming Pang, Tara N. Sainath, Anmol Gulati, Yu Zhang, James Qin, Parisa Haghani, W. Ronny Huang, Min Ma
Scaling End-to-End Models for Large-Scale Multilingual ASR. CoRR (2021)
Chen Zhu, Renkun Ni, Zheng Xu, Kezhi Kong, W. Ronny Huang, Tom Goldstein
GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training. CoRR (2021)
Chen Zhu, Renkun Ni, Zheng Xu, Kezhi Kong, W. Ronny Huang, Tom Goldstein
GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training. NeurIPS (2021)
W. Ronny Huang, Tara N. Sainath, Cal Peyser, Shankar Kumar, David Rybach, Trevor Strohman
Lookup-Table Recurrent Language Models for Long Tail Speech Recognition. Interspeech (2021)
W. Ronny Huang, Zeyad Emam, Micah Goldblum, Liam Fowl, Justin K. Terry, Furong Huang, Tom Goldstein
Understanding Generalization Through Visualizations. ICBINB@NeurIPS (2020)
W. Ronny Huang, Jonas Geiping, Liam Fowl, Gavin Taylor, Tom Goldstein
MetaPoison: Practical General-purpose Clean-label Data Poisoning. CoRR (2020)
Yike Qi, W. Ronny Huang, Qianqian Li, Jonathan L. DeGange
DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images. WACV (2020)
Jonas Geiping, Liam Fowl, W. Ronny Huang, Wojciech Czaja, Gavin Taylor, Michael Moeller, Tom Goldstein
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching. CoRR (2020)
Karthik Abinav Sankararaman, Soham De, Zheng Xu, W. Ronny Huang, Tom Goldstein
The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent. ICML (2020)
W. Ronny Huang, Jonas Geiping, Liam Fowl, Gavin Taylor, Tom Goldstein
MetaPoison: Practical General-purpose Clean-label Data Poisoning. NeurIPS (2020)
Neehar Peri, Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson
Deep k-NN Defense Against Clean-Label Data Poisoning Attacks. ECCV Workshops (1) (2020)
W. Ronny Huang, Yike Qi, Qianqian Li, Jonathan L. DeGange
DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images. CoRR (2019)
Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson
Strong Baseline Defenses Against Clean-Label Poisoning Attacks. CoRR (2019)
W. Ronny Huang, Zeyad Emam, Micah Goldblum, Liam Fowl, Justin K. Terry, Furong Huang, Tom Goldstein
Understanding Generalization through Visualizations. CoRR (2019)
Chen Zhu, W. Ronny Huang, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets. ICML (2019)
Ali Shafahi, W. Ronny Huang, Christoph Studer, Soheil Feizi, Tom Goldstein
Are adversarial examples inevitable? ICLR (Poster) (2019)
Karthik Abinav Sankararaman, Soham De, Zheng Xu, W. Ronny Huang, Tom Goldstein
The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent. CoRR (2019)
Chen Zhu, W. Ronny Huang, Ali Shafahi, Hengduo Li, Gavin Taylor, Christoph Studer, Tom Goldstein
Transferable Clean-Label Poisoning Attacks on Deep Neural Nets. CoRR (2019)
Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, Tom Goldstein
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks. NeurIPS (2018)
Ali Shafahi, W. Ronny Huang, Christoph Studer, Soheil Feizi, Tom Goldstein
Are adversarial examples inevitable? CoRR (2018)
W. Ronny Huang, Miguel A. Perez
Accurate, Data-Efficient Learning from Noisy, Choice-Based Labels for Inherent Risk Scoring. CoRR (2018)
Ali Shafahi, W. Ronny Huang, Mahyar Najibi, Octavian Suciu, Christoph Studer, Tudor Dumitras, Tom Goldstein
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks. CoRR (2018)