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ORCIDFrank Zhang 0001
Person information
- affiliation: Facebook AI, USA
Other persons with the same name
- Frank Zhang — disambiguation page
- Qiaochu Zhang — disambiguation page
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2020 – today
- 2024
[i18]Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, Anirudh Goyal, Anthony Hartshorn, Aobo Yang, Archi Mitra, Archie Sravankumar, Artem Korenev, Arthur Hinsvark, Arun Rao, Aston Zhang, Aurélien Rodriguez, Austen Gregerson, Ava Spataru, Baptiste Rozière, Bethany Biron, Binh Tang, Bobbie Chern, Charlotte Caucheteux, Chaya Nayak, Chloe Bi, Chris Marra, Chris McConnell, Christian Keller, Christophe Touret, Chunyang Wu, Corinne Wong, Cristian Canton Ferrer, Cyrus Nikolaidis, Damien Allonsius, Daniel Song, Danielle Pintz, Danny Livshits, David Esiobu, Dhruv Choudhary, Dhruv Mahajan, Diego Garcia-Olano, Diego Perino, Dieuwke Hupkes, Egor Lakomkin, Ehab AlBadawy, Elina Lobanova, Emily Dinan, Eric Michael Smith, Filip Radenovic, Frank Zhang, Gabriel Synnaeve, Gabrielle Lee, Georgia Lewis Anderson, Graeme Nail, Grégoire Mialon, Guan Pang, Guillem Cucurell, Hailey Nguyen, Hannah Korevaar, Hu Xu, Hugo Touvron, Iliyan Zarov, Imanol Arrieta Ibarra, Isabel M. Kloumann, Ishan Misra, Ivan Evtimov, Jade Copet, Jaewon Lee, Jan Geffert, Jana Vranes, Jason Park, Jay Mahadeokar, Jeet Shah, Jelmer van der Linde, Jennifer Billock, Jenny Hong, Jenya Lee, Jeremy Fu, Jianfeng Chi, Jianyu Huang, Jiawen Liu, Jie Wang, Jiecao Yu, Joanna Bitton, Joe Spisak, Jongsoo Park, Joseph Rocca, Joshua Johnstun, Joshua Saxe, Junteng Jia, Kalyan Vasuden Alwala, Kartikeya Upasani, Kate Plawiak, Ke Li, Kenneth Heafield, Kevin Stone, et al.:
The Llama 3 Herd of Models. CoRR abs/2407.21783 (2024)- 2022
- [c16]Andros Tjandra, Diptanu Gon Choudhury, Frank Zhang, Kritika Singh, Alexis Conneau, Alexei Baevski, Assaf Sela, Yatharth Saraf, Michael Auli:
Improved Language Identification Through Cross-Lingual Self-Supervised Learning. ICASSP 2022: 6877-6881 - [c15]Weiyi Zheng, Alex Xiao, Gil Keren, Duc Le, Frank Zhang, Christian Fuegen, Ozlem Kalinli, Yatharth Saraf, Abdelrahman Mohamed:
Scaling ASR Improves Zero and Few Shot Learning. INTERSPEECH 2022: 5135-5139 - [i17]Pooja Chitkara, Morgane Rivière, Jade Copet, Frank Zhang, Yatharth Saraf:
Pushing the performances of ASR models on English and Spanish accents. CoRR abs/2212.12048 (2022) - 2021
- [c14]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 - [c13]Yongqiang Wang, Yangyang Shi, Frank Zhang, Chunyang Wu, Julian Chan, Ching-Feng Yeh, Alex Xiao:
Transformer in Action: A Comparative Study of Transformer-Based Acoustic Models for Large Scale Speech Recognition Applications. ICASSP 2021: 6778-6782 - [c12]Yangyang Shi, Yongqiang Wang, Chunyang Wu, Ching-Feng Yeh, Julian Chan, Frank Zhang, Duc Le, Mike Seltzer:
Emformer: Efficient Memory Transformer Based Acoustic Model for Low Latency Streaming Speech Recognition. ICASSP 2021: 6783-6787 - [c11]Ching-Feng Yeh, Yongqiang Wang, Yangyang Shi, Chunyang Wu, Frank Zhang, Julian Chan, Michael L. Seltzer:
Streaming Attention-Based Models with Augmented Memory for End-To-End Speech Recognition. SLT 2021: 8-14 - [c10]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 - [c9]Chunxi Liu, Frank Zhang, Duc Le, Suyoun Kim, Yatharth Saraf, Geoffrey Zweig:
Improving RNN Transducer Based ASR with Auxiliary Tasks. SLT 2021: 172-179 - [i16]Andros Tjandra, Diptanu Gon Choudhury, Frank Zhang, Kritika Singh, Alexei Baevski, Assaf Sela, Yatharth Saraf, Michael Auli:
Improved Language Identification Through Cross-Lingual Self-Supervised Learning. CoRR abs/2107.04082 (2021) - [i15]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) - [i14]Alex Xiao, Weiyi Zheng, Gil Keren, Duc Le, Frank Zhang, Christian Fuegen, Ozlem Kalinli, Yatharth Saraf, Abdelrahman Mohamed:
Scaling ASR Improves Zero and Few Shot Learning. CoRR abs/2111.05948 (2021) - 2020
- [c8]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 - [c7]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 - [c6]Kritika Singh, Dmytro Okhonko, Jun Liu, Yongqiang Wang, Frank Zhang, Ross B. Girshick, Sergey Edunov, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed:
Training ASR Models By Generation of Contextual Information. ICASSP 2020: 7864-7868 - [c5]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 - [c4]Chunyang Wu, Yongqiang Wang, Yangyang Shi, Ching-Feng Yeh, Frank Zhang:
Streaming Transformer-Based Acoustic Models Using Self-Attention with Augmented Memory. INTERSPEECH 2020: 2132-2136 - [c3]Da-Rong Liu, Chunxi Liu, Frank Zhang, Gabriel Synnaeve, Yatharth Saraf, Geoffrey Zweig:
Contextualizing ASR Lattice Rescoring with Hybrid Pointer Network Language Model. INTERSPEECH 2020: 3650-3654 - [c2]Yangyang Shi, Yongqiang Wang, Chunyang Wu, Christian Fuegen, Frank Zhang, Duc Le, Ching-Feng Yeh, Michael L. Seltzer:
Weak-Attention Suppression for Transformer Based Speech Recognition. INTERSPEECH 2020: 4996-5000 - [c1]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 - [i13]Da-Rong Liu, Chunxi Liu, Frank Zhang, Gabriel Synnaeve, Yatharth Saraf, Geoffrey Zweig:
Contextualizing ASR Lattice Rescoring with Hybrid Pointer Network Language Model. CoRR abs/2005.07394 (2020) - [i12]Chunyang Wu, Yongqiang Wang, Yangyang Shi, Ching-Feng Yeh, Frank Zhang:
Streaming Transformer-based Acoustic Models Using Self-attention with Augmented Memory. CoRR abs/2005.08042 (2020) - [i11]Yangyang Shi, Yongqiang Wang, Chunyang Wu, Christian Fuegen, Frank Zhang, Duc Le, Ching-Feng Yeh, Michael L. Seltzer:
Weak-Attention Suppression For Transformer Based Speech Recognition. CoRR abs/2005.09137 (2020) - [i10]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) - [i9]Yangyang Shi, Yongqiang Wang, Chunyang Wu, Ching-Feng Yeh, Julian Chan, Frank Zhang, Duc Le, Michael L. Seltzer:
Emformer: Efficient Memory Transformer Based Acoustic Model For Low Latency Streaming Speech Recognition. CoRR abs/2010.10759 (2020) - [i8]Yongqiang Wang, Yangyang Shi, Frank Zhang, Chunyang Wu, Julian Chan, Ching-Feng Yeh, Alex Xiao:
Transformer in action: a comparative study of transformer-based acoustic models for large scale speech recognition applications. CoRR abs/2010.14665 (2020) - [i7]Chunxi Liu, Frank Zhang, Duc Le, Suyoun Kim, Yatharth Saraf, Geoffrey Zweig:
Improving RNN Transducer Based ASR with Auxiliary Tasks. CoRR abs/2011.03109 (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) - [i5]Ching-Feng Yeh, Yongqiang Wang, Yangyang Shi, Chunyang Wu, Frank Zhang, Julian Chan, Michael L. Seltzer:
Streaming Attention-Based Models with Augmented Memory for End-to-End Speech Recognition. CoRR abs/2011.07120 (2020)
2010 – 2019
- 2019
- [i4]Chunxi Liu, Qiaochu Zhang, Xiaohui Zhang, Kritika Singh, Yatharth Saraf, Geoffrey Zweig:
Multilingual ASR with Massive Data Augmentation. CoRR abs/1909.06522 (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) - [i1]Kritika Singh, Dmytro Okhonko, Jun Liu, Yongqiang Wang, Frank Zhang, Ross B. Girshick, Sergey Edunov, Fuchun Peng, Yatharth Saraf, Geoffrey Zweig, Abdelrahman Mohamed:
Training ASR models by Generation of Contextual Information. CoRR abs/1910.12367 (2019)
Coauthor Index
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