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ORCIDAntoine Bruguier
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2020 – today
- 2023
[c18]Xingyu Cai, David Qiu, Shaojin Ding, Dongseong Hwang, Weiran Wang, Antoine Bruguier, Rohit Prabhavalkar, Tara N. Sainath, Yanzhang He:
Efficient Cascaded Streaming ASR System Via Frame Rate Reduction. ASRU 2023: 1-8- [c17]Steven M. Hernandez, Ding Zhao, Shaojin Ding, Antoine Bruguier, Rohit Prabhavalkar, Tara N. Sainath, Yanzhang He, Ian McGraw:
Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models. ICASSP 2023: 1-5 - [i10]Steven M. Hernandez, Ding Zhao, Shaojin Ding, Antoine Bruguier, Rohit Prabhavalkar, Tara N. Sainath, Yanzhang He, Ian McGraw:
Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models. CoRR abs/2303.08343 (2023) - [i9]Antoine Bruguier, David Qiu, Yanzhang He:
Partial Rewriting for Multi-Stage ASR. CoRR abs/2312.09463 (2023) - 2022
- [c16]Antoine Bruguier, Duc Le, Rohit Prabhavalkar, Dangna Li, Zhe Liu, Bo Wang, Eun Chang, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer:
Neural-FST Class Language Model for End-to-End Speech Recognition. ICASSP 2022: 6107-6111 - [c15]Antoine Bruguier, David Qiu, Trevor Strohman, Yanzhang He:
Flickering Reduction with Partial Hypothesis Reranking for Streaming ASR. SLT 2022: 38-45 - [i8]Antoine Bruguier, Duc Le, Rohit Prabhavalkar, Dangna Li, Zhe Liu, Bo Wang, Eun Chang, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer:
Neural-FST Class Language Model for End-to-End Speech Recognition. CoRR abs/2201.11867 (2022) - 2021
- [c14]Suyoun Kim, Yuan Shangguan, Jay Mahadeokar, Antoine Bruguier, Christian Fuegen, Michael L. Seltzer, Duc Le:
Improved Neural Language Model Fusion for Streaming Recurrent Neural Network Transducer. ICASSP 2021: 7333-7337 - 2020
- [c13]Tara N. Sainath, Yanzhang He, Bo Li, Arun Narayanan, Ruoming Pang, Antoine Bruguier, Shuo-Yiin Chang, Wei Li, Raziel Alvarez, Zhifeng Chen, Chung-Cheng Chiu, David Garcia, Alexander Gruenstein, Ke Hu, Anjuli Kannan, Qiao Liang, Ian McGraw, Cal Peyser, Rohit Prabhavalkar, Golan Pundak, David Rybach, Yuan Shangguan, Yash Sheth, Trevor Strohman, Mirkó Visontai, Yonghui Wu, Yu Zhang, Ding Zhao:
A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency. ICASSP 2020: 6059-6063 - [c12]Alëna Aksënova, Antoine Bruguier, Amanda Ritchart-Scott, Uri Mendlovic:
Algorithmic Exploration of American English Dialects. ICASSP 2020: 7374-7378 - [c11]Antoine Bruguier, Ananya Misra, Arun Narayanan, Rohit Prabhavalkar
:
Anti-Aliasing Regularization in Stacking Layers. INTERSPEECH 2020: 314-318 - [i7]Tara N. Sainath, Yanzhang He, Bo Li, Arun Narayanan, Ruoming Pang, Antoine Bruguier, Shuo-Yiin Chang, Wei Li, Raziel Alvarez, Zhifeng Chen, Chung-Cheng Chiu, David Garcia, Alexander Gruenstein, Ke Hu, Minho Jin, Anjuli Kannan, Qiao Liang, Ian McGraw, Cal Peyser, Rohit Prabhavalkar, Golan Pundak, David Rybach, Yuan Shangguan, Yash Sheth, Trevor Strohman, Mirkó Visontai, Yonghui Wu, Yu Zhang, Ding Zhao:
A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency. CoRR abs/2003.12710 (2020) - [i6]Suyoun Kim, Yuan Shangguan, Jay Mahadeokar, Antoine Bruguier, Christian Fuegen, Michael L. Seltzer, Duc Le:
Improved Neural Language Model Fusion for Streaming Recurrent Neural Network Transducer. CoRR abs/2010.13878 (2020)
2010 – 2019
- 2019
- [c10]Antoine Bruguier, Rohit Prabhavalkar, Golan Pundak, Tara N. Sainath:
Phoebe: Pronunciation-aware Contextualization for End-to-end Speech Recognition. ICASSP 2019: 6171-6175 - [c9]Ke Hu, Antoine Bruguier, Tara N. Sainath, Rohit Prabhavalkar, Golan Pundak:
Phoneme-Based Contextualization for Cross-Lingual Speech Recognition in End-to-End Models. INTERSPEECH 2019: 2155-2159 - [c8]Dravyansh Sharma, Melissa Wilson, Antoine Bruguier:
Better Morphology Prediction for Better Speech Systems. INTERSPEECH 2019: 3535-3539 - [c7]Kazuki Irie, Rohit Prabhavalkar, Anjuli Kannan, Antoine Bruguier, David Rybach, Patrick Nguyen:
On the Choice of Modeling Unit for Sequence-to-Sequence Speech Recognition. INTERSPEECH 2019: 3800-3804 - [i5]Kazuki Irie, Rohit Prabhavalkar, Anjuli Kannan, Antoine Bruguier, David Rybach, Patrick Nguyen:
Model Unit Exploration for Sequence-to-Sequence Speech Recognition. CoRR abs/1902.01955 (2019) - [i4]Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia Xu Chen, Ye Jia, Anjuli Kannan, Tara N. Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George F. Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel Bacchiani, Thomas B. Jablin, Robert Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon:
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. CoRR abs/1902.08295 (2019) - [i3]Ke Hu, Antoine Bruguier, Tara N. Sainath, Rohit Prabhavalkar, Golan Pundak:
Phoneme-Based Contextualization for Cross-Lingual Speech Recognition in End-to-End Models. CoRR abs/1906.09292 (2019) - 2018
- [c6]Antoine Bruguier, Heiga Zen, Arkady Arkhangorodsky:
Sequence-to-sequence Neural Network Model with 2D Attention for Learning Japanese Pitch Accents. INTERSPEECH 2018: 1284-1287 - [c5]Antoine Bruguier, Anton Bakhtin, Dravyansh Sharma:
Dictionary Augmented Sequence-to-Sequence Neural Network for Grapheme to Phoneme Prediction. INTERSPEECH 2018: 3733-3737 - 2017
- [c4]Antoine Bruguier, Danushen Gnanapragasam, Leif Johnson, Kanishka Rao, Françoise Beaufays:
Pronunciation Learning with RNN-Transducers. INTERSPEECH 2017: 2556-2560 - 2016
- [c3]Rohit Prabhavalkar, Ouais Alsharif, Antoine Bruguier, Ian McGraw:
On the compression of recurrent neural networks with an application to LVCSR acoustic modeling for embedded speech recognition. ICASSP 2016: 5970-5974 - [c2]Antoine Bruguier, Fuchun Peng, Françoise Beaufays:
Learning Personalized Pronunciations for Contact Name Recognition. INTERSPEECH 2016: 3096-3100 - [c1]Babak Damavandi, Shankar Kumar, Noam Shazeer, Antoine Bruguier:
NN-Grams: Unifying Neural Network and n-Gram Language Models for Speech Recognition. INTERSPEECH 2016: 3499-3503 - [i2]Rohit Prabhavalkar, Ouais Alsharif, Antoine Bruguier, Ian McGraw:
On the Compression of Recurrent Neural Networks with an Application to LVCSR acoustic modeling for Embedded Speech Recognition. CoRR abs/1603.08042 (2016) - [i1]Babak Damavandi, Shankar Kumar, Noam Shazeer, Antoine Bruguier:
NN-grams: Unifying neural network and n-gram language models for Speech Recognition. CoRR abs/1606.07470 (2016)
2000 – 2009
- 2008
- [j1]Antoine Bruguier, Kerstin Preuschoff, Steven Quartz, Peter Bossaerts:
Investigating signal integration with canonical correlation analysis of fMRI brain activation data. NeuroImage 41(1): 35-44 (2008)
Coauthor Index
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