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ORCIDXiaohui Zhang 0007
Person information
- affiliation: Meta AI, New York, NY, USA
- affiliation (PhD): Johns Hopkins University, Center for Language and Speech Processing, Baltimore, MD, USA
Other persons with the same name
- Xiaohui Zhang — disambiguation page
- Xiaohui Zhang 0001 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- Xiaohui Zhang 0002
![[0000-0002-7970-2448]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7970-2448")
— Henan University of Technology, College of Electrical Engineering, Zhengzhou, China - Xiaohui Zhang 0003 — Kunming University of Science and Technology, Faculty of Metallurgical and Energy Engineering, Kunming, China
- Xiaohui Zhang 0004 — University of Liverpool, UK
- Xiaohui Zhang 0005 — Sheffield Hallam University, UK
- Xiaohui Zhang 0006 — University of Notre Dame, MINE Lab, Notre Dame, IN, USA (and 2 more)
- Xiaohui Zhang 0008 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
- Xiaohui Zhang 0009 — Qinghai Normal University, School of Computer, Xining, China (and 1 more)
- Xiaohui Zhang 0010 — Heidelberg University, Institut für Technische Informatik (ZITI), Heidelberg, Germany
- Xiaohui Zhang 0011 — Wuhan University, School of Power and Mechanical Engineering, Wuhan, China
- Xiaohui Zhang 0012 — Bayer, Chesterfield, MO, USA (and 2 more)
- Xiaohui Zhang 0013 — Naval University of Engineering, Department of Weapon Engineering, Wuhan, China
- Xiaohui Zhang 0014 — Xi'an University of Technology, School of Computer Science and Engineering, Xi'an, China
- Xiaohui Zhang 0015 — Beihang University, School of Engineering Medicine, Beijing Advanced Innovation Centre for Biomedical Engineering, Beijing, China (and 2 more)
- Xiaohui Zhang 0016 — Huazhong University of Science and Technology, School of Computer Science and Technology, Key Laboratory of Cluster and Grid Computing, Key Laboratory of Services Computing Technology and System, Wuhan, China
- Xiaohui Zhang 0017 — Inspur (Beijing) Electronic Information Industry Co., Ltd, Beijing, China (and 1 more)
- Xiaohui Zhang 0018 — Peking University, People's Hospital, Institute of Hematology, Beijing, China
- Xiaohui Zhang 0019 — Kunming University of Science and Technology, Faculty of Information Engineering and Automation, Kunming, China
- Xiaohui Zhang 0020 — Northwest Normal University, College of Computer Science and Engineering, Lanzhou, China
- Xiaohui Zhang 0021 — Henan University of Science and Technology, School of Information Engineering, Luoyang, China (and 1 more)
- Xiaohui Zhang 0022 — Henan Xinda Wangyu Technology Co., Ltd., Zhengzhou, China
- Xiaohui Zhang 0023 — Southeast University, National Prestress Engineering Research Center, Key Laboratory of C & PC Structures of Ministry of Education, Nanjing, China
- Xiaohui Zhang 0024 — Dalian University of Technology, International School of Information Science & Engineering, Dalian, China
- Xiaohui Zhang 0025 — Inner Mongolia University, College of Electronic Information Engineering, Hohhot, China
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2020 – today
- 2024
[j1]Vineel Pratap, Andros Tjandra, Bowen Shi, Paden Tomasello, Arun Babu, Sayani Kundu, Ali Elkahky, Zhaoheng Ni, Apoorv Vyas, Maryam Fazel-Zarandi, Alexei Baevski, Yossi Adi, Xiaohui Zhang, Wei-Ning Hsu, Alexis Conneau, Michael Auli:
Scaling Speech Technology to 1, 000+ Languages. J. Mach. Learn. Res. 25: 97:1-97:52 (2024)- [c25]Ruizhe Huang, Xiaohui Zhang, Zhaoheng Ni, Li Sun, Moto Hira, Jeff Hwang, Vimal Manohar, Vineel Pratap, Matthew Wiesner, Shinji Watanabe, Daniel Povey, Sanjeev Khudanpur:
Less Peaky and More Accurate CTC Forced Alignment by Label Priors. ICASSP 2024: 11831-11835 - [i16]Ruizhe Huang, Xiaohui Zhang, Zhaoheng Ni, Li Sun, Moto Hira, Jeff Hwang, Vimal Manohar, Vineel Pratap, Matthew Wiesner, Shinji Watanabe, Daniel Povey, Sanjeev Khudanpur:
Less Peaky and More Accurate CTC Forced Alignment by Label Priors. CoRR abs/2406.02560 (2024) - [i15]Junteng Jia, Gil Keren, Wei Zhou, Egor Lakomkin, Xiaohui Zhang, Chunyang Wu, Frank Seide, Jay Mahadeokar, Ozlem Kalinli:
Efficient Streaming LLM for Speech Recognition. CoRR abs/2410.03752 (2024) - 2023
- [c24]Brian Yan, Jiatong Shi, Yun Tang, Hirofumi Inaguma, Yifan Peng, Siddharth Dalmia, Peter Polak, Patrick Fernandes, Dan Berrebbi, Tomoki Hayashi, Xiaohui Zhang, Zhaoheng Ni, Moto Hira, Soumi Maiti, Juan Pino, Shinji Watanabe:
ESPnet-ST-v2: Multipurpose Spoken Language Translation Toolkit. ACL (demo) 2023: 400-411 - [c23]Jeff Hwang, Moto Hira, Caroline Chen, Xiaohui Zhang, Zhaoheng Ni, Guangzhi Sun, Pingchuan Ma, Ruizhe Huang, Vineel Pratap, Yuekai Zhang, Anurag Kumar, Chin-Yun Yu, Chuang Zhu, Chunxi Liu, Jacob Kahn, Mirco Ravanelli, Peng Sun, Shinji Watanabe, Yangyang Shi, Yumeng Tao:
TorchAudio 2.1: Advancing Speech Recognition, Self-Supervised Learning, and Audio Processing Components for Pytorch. ASRU 2023: 1-9 - [c22]Anurag Kumar, Ke Tan, Zhaoheng Ni, Pranay Manocha, Xiaohui Zhang, Ethan Henderson, Buye Xu:
Torchaudio-Squim: Reference-Less Speech Quality and Intelligibility Measures in Torchaudio. ICASSP 2023: 1-5 - [c21]Desh Raj, Junteng Jia, Jay Mahadeokar, Chunyang Wu, Niko Moritz, Xiaohui Zhang, Ozlem Kalinli:
Anchored Speech Recognition with Neural Transducers. ICASSP 2023: 1-5 - [i14]Vineel Pratap, Andros Tjandra, Bowen Shi, Paden Tomasello, Arun Babu, Sayani Kundu, Ali Elkahky, Zhaoheng Ni, Apoorv Vyas, Maryam Fazel-Zarandi, Alexei Baevski, Yossi Adi, Xiaohui Zhang, Wei-Ning Hsu, Alexis Conneau, Michael Auli:
Scaling Speech Technology to 1, 000+ Languages. CoRR abs/2305.13516 (2023) - [i13]Jeff Hwang, Moto Hira, Caroline Chen, Xiaohui Zhang, Zhaoheng Ni, Guangzhi Sun, Pingchuan Ma, Ruizhe Huang, Vineel Pratap, Yuekai Zhang, Anurag Kumar, Chin-Yun Yu, Chuang Zhu, Chunxi Liu, Jacob Kahn, Mirco Ravanelli, Peng Sun, Shinji Watanabe, Yangyang Shi, Yumeng Tao, Robin Scheibler, Samuele Cornell, Sean Kim, Stavros Petridis:
TorchAudio 2.1: Advancing speech recognition, self-supervised learning, and audio processing components for PyTorch. CoRR abs/2310.17864 (2023) - 2022
- [c20]Chunxi Liu, Michael Picheny, Leda Sari, Pooja Chitkara, Alex Xiao, Xiaohui Zhang, Mark Chou, Andres Alvarado, Caner Hazirbas, Yatharth Saraf:
Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions. ICASSP 2022: 6162-6166 - [c19]Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra:
Omni-Sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR Via Supernet. ICASSP 2022: 8197-8201 - [c18]Yangyang Shi, Chunyang Wu, Dilin Wang, Alex Xiao, Jay Mahadeokar, Xiaohui Zhang, Chunxi Liu, Ke Li, Yuan Shangguan, Varun Nagaraja, Ozlem Kalinli, Mike Seltzer:
Streaming Transformer Transducer based Speech Recognition Using Non-Causal Convolution. ICASSP 2022: 8277-8281 - [i12]Desh Raj, Junteng Jia, Jay Mahadeokar, Chunyang Wu, Niko Moritz, Xiaohui Zhang, Ozlem Kalinli:
Anchored Speech Recognition with Neural Transducers. CoRR abs/2210.11588 (2022) - 2021
- [c17]Xiaohui Zhang, Vimal Manohar, David Zhang, Frank Zhang, Yangyang Shi, Nayan Singhal, Julian Chan, Fuchun Peng, Yatharth Saraf, Mike Seltzer:
On Lattice-Free Boosted MMI Training of HMM and CTC-Based Full-Context ASR Models. ASRU 2021: 1026-1033 - [c16]Xiaohui Zhang, Frank Zhang, Chunxi Liu, Kjell Schubert, Julian Chan, Pradyot Prakash, Jun Liu, Ching-Feng Yeh, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig:
Benchmarking LF-MMI, CTC And RNN-T Criteria For Streaming ASR. SLT 2021: 46-51 - [i11]Xiaohui Zhang, Vimal Manohar, David Zhang, Frank Zhang, Yangyang Shi, Nayan Singhal, Julian Chan, Fuchun Peng, Yatharth Saraf, Mike Seltzer:
On lattice-free boosted MMI training of HMM and CTC-based full-context ASR models. CoRR abs/2107.04154 (2021) - [i10]Yangyang Shi, Chunyang Wu, Dilin Wang, Alex Xiao, Jay Mahadeokar, Xiaohui Zhang, Chunxi Liu, Ke Li, Yuan Shangguan, Varun Nagaraja, Ozlem Kalinli, Mike Seltzer:
Streaming Transformer Transducer Based Speech Recognition Using Non-Causal Convolution. CoRR abs/2110.05241 (2021) - [i9]Haichuan Yang, Yuan Shangguan, Dilin Wang, Meng Li, Pierce Chuang, Xiaohui Zhang, Ganesh Venkatesh, Ozlem Kalinli, Vikas Chandra:
Omni-sparsity DNN: Fast Sparsity Optimization for On-Device Streaming E2E ASR via Supernet. CoRR abs/2110.08352 (2021) - [i8]Chunxi Liu, Michael Picheny, Leda Sari, Pooja Chitkara, Alex Xiao, Xiaohui Zhang, Mark Chou, Andres Alvarado, Caner Hazirbas, Yatharth Saraf:
Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions. CoRR abs/2111.09983 (2021) - 2020
- [c15]Xiaohui Zhang, Daniel Povey, Sanjeev Khudanpur:
OOV Recovery with Efficient 2nd Pass Decoding and Open-vocabulary Word-level RNNLM Rescoring for Hybrid ASR. ICASSP 2020: 6334-6338 - [c14]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:
Transformer-Based Acoustic Modeling for Hybrid Speech Recognition. ICASSP 2020: 6874-6878 - [c13]Andros Tjandra, Chunxi Liu, Frank Zhang, Xiaohui Zhang, Yongqiang Wang, Gabriel Synnaeve, Satoshi Nakamura, Geoffrey Zweig:
DEJA-VU: Double Feature Presentation and Iterated Loss in Deep Transformer Networks. ICASSP 2020: 6899-6903 - [c12]Frank Zhang, Yongqiang Wang, Xiaohui Zhang, Chunxi Liu, Yatharth Saraf, Geoffrey Zweig:
Faster, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces. INTERSPEECH 2020: 976-980 - [c11]Chunxi Liu, Qiaochu Zhang, Xiaohui Zhang, Kritika Singh, Yatharth Saraf, Geoffrey Zweig:
Multilingual Graphemic Hybrid ASR with Massive Data Augmentation. SLTU-CCURL@LREC 2020: 46-52 - [i7]Frank Zhang, Yongqiang Wang, Xiaohui Zhang, Chunxi Liu, Yatharth Saraf, Geoffrey Zweig:
Fast, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces. CoRR abs/2005.09150 (2020) - [i6]Xiaohui Zhang, Frank Zhang, Chunxi Liu, Kjell Schubert, Julian Chan, Pradyot Prakash, Jun Liu, Ching-Feng Yeh, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig:
Benchmarking LF-MMI, CTC and RNN-T Criteria for Streaming ASR. CoRR abs/2011.04785 (2020)
2010 – 2019
- 2019
- [c10]Duc Le, Xiaohui Zhang, Weiyi Zheng, Christian Fügen, Geoffrey Zweig, Michael L. Seltzer:
From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition. ASRU 2019: 457-464 - [i5]Chunxi Liu, Qiaochu Zhang, Xiaohui Zhang, Kritika Singh, Yatharth Saraf, Geoffrey Zweig:
Multilingual ASR with Massive Data Augmentation. CoRR abs/1909.06522 (2019) - [i4]Duc Le, Xiaohui Zhang, Weiyi Zheng, Christian Fügen, Geoffrey Zweig, Michael L. Seltzer:
From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition. CoRR abs/1910.01493 (2019) - [i3]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:
Transformer-based Acoustic Modeling for Hybrid Speech Recognition. CoRR abs/1910.09799 (2019) - [i2]Andros Tjandra, Chunxi Liu, Frank Zhang, Xiaohui Zhang, Yongqiang Wang, Gabriel Synnaeve, Satoshi Nakamura, Geoffrey Zweig:
Deja-vu: Double Feature Presentation in Deep Transformer Networks. CoRR abs/1910.10324 (2019) - 2017
- [c9]Yiming Wang, Vijayaditya Peddinti, Hainan Xu, Xiaohui Zhang, Daniel Povey, Sanjeev Khudanpur:
Backstitch: Counteracting Finite-Sample Bias via Negative Steps. INTERSPEECH 2017: 1631-1635 - [c8]Xiaohui Zhang, Vimal Manohar, Daniel Povey, Sanjeev Khudanpur:
Acoustic Data-Driven Lexicon Learning Based on a Greedy Pronunciation Selection Framework. INTERSPEECH 2017: 2541-2545 - [c7]Jan Trmal, Matthew Wiesner, Vijayaditya Peddinti, Xiaohui Zhang, Pegah Ghahremani, Yiming Wang, Vimal Manohar, Hainan Xu, Daniel Povey, Sanjeev Khudanpur:
The Kaldi OpenKWS System: Improving Low Resource Keyword Search. INTERSPEECH 2017: 3597-3601 - [i1]Xiaohui Zhang, Vimal Manohar, Daniel Povey, Sanjeev Khudanpur:
Acoustic data-driven lexicon learning based on a greedy pronunciation selection framework. CoRR abs/1706.03747 (2017) - 2015
- [c6]Xiaohui Zhang, Daniel Povey, Sanjeev Khudanpur:
A diversity-penalizing ensemble training method for deep learning. INTERSPEECH 2015: 3590-3594 - [c5]Daniel Povey, Xiaohui Zhang, Sanjeev Khudanpur:
Parallel training of Deep Neural Networks with Natural Gradient and Parameter Averaging. ICLR (Workshop) 2015 - 2014
- [c4]Xiaohui Zhang, Jan Trmal, Daniel Povey, Sanjeev Khudanpur:
Improving deep neural network acoustic models using generalized maxout networks. ICASSP 2014: 215-219 - [c3]Daniel Garcia-Romero, Xiaohui Zhang, Alan McCree, Daniel Povey:
Improving speaker recognition performance in the domain adaptation challenge using deep neural networks. SLT 2014: 378-383 - [c2]Jan Trmal, Guoguo Chen, Daniel Povey, Sanjeev Khudanpur, Pegah Ghahremani, Xiaohui Zhang, Vimal Manohar, Chunxi Liu, Aren Jansen, Dietrich Klakow, David Yarowsky, Florian Metze:
A keyword search system using open source software. SLT 2014: 530-535 - 2011
- [c1]Xiaohui Zhang, Guangmin Sun, Haomiao Liu, Qite Wang:
Flaw classification in ultrasonic guided waves signal using Wavelet Transform and PNN classifier. WCSP 2011: 1-5
Coauthor Index
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