default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDFrançoise Beaufays
Person information
SPARQL queries 
🛈 Please note that only 72% of the records listed on this page have a DOI. Therefore, DOI-based queries can only provide partial results.
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c61]Takaaki Saeki, Gary Wang, Nobuyuki Morioka, Isaac Elias, Kyle Kastner, Andrew Rosenberg, Bhuvana Ramabhadran, Heiga Zen, Françoise Beaufays, Hadar Shemtov:
Extending Multilingual Speech Synthesis to 100+ Languages without Transcribed Data. ICASSP 2024: 11546-11550- [c60]Shefali Garg, Zhouyuan Huo, Khe Chai Sim, Suzan Schwartz, Mason Chua, Alëna Aksënova, Tsendsuren Munkhdalai, Levi King, Darryl Wright, Zion Mengesha, Dongseong Hwang, Tara N. Sainath, Françoise Beaufays, Pedro Moreno Mengibar:
Improving Speech Recognition for African American English with Audio Classification. ICASSP 2024: 12356-12360 - [i40]Takaaki Saeki, Gary Wang, Nobuyuki Morioka, Isaac Elias, Kyle Kastner, Andrew Rosenberg, Bhuvana Ramabhadran, Heiga Zen, Françoise Beaufays, Hadar Shemtov:
Extending Multilingual Speech Synthesis to 100+ Languages without Transcribed Data. CoRR abs/2402.18932 (2024) - [i39]Yonghui Xiao, Yuxin Ding, Changwan Ryu, Petr Zadrazil, Françoise Beaufays:
Federated Learning of Large ASR Models in the Real World. CoRR abs/2408.10443 (2024) - 2023
- [c59]Rami Botros, Rohit Prabhavalkar, Johan Schalkwyk, Ciprian Chelba, Tara N. Sainath, Françoise Beaufays:
Lego-Features: Exporting Modular Encoder Features for Streaming and Deliberation ASR. ICASSP 2023: 1-5 - [c58]Bo Li, Dongseong Hwang, Zhouyuan Huo, Junwen Bai, Guru Prakash, Tara N. Sainath, Khe Chai Sim, Yu Zhang, Wei Han, Trevor Strohman, Françoise Beaufays:
Efficient Domain Adaptation for Speech Foundation Models. ICASSP 2023: 1-5 - [c57]Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv Mathews, Mingqing Chen:
Online Model Compression for Federated Learning with Large Models. ICASSP 2023: 1-5 - [c56]Ke Hu, Bo Li, Tara N. Sainath, Yu Zhang, Françoise Beaufays:
Mixture-of-Expert Conformer for Streaming Multilingual ASR. INTERSPEECH 2023: 3327-3331 - [i38]Bo Li, Dongseong Hwang, Zhouyuan Huo, Junwen Bai, Guru Prakash, Tara N. Sainath, Khe Chai Sim, Yu Zhang, Wei Han, Trevor Strohman, Françoise Beaufays:
Efficient Domain Adaptation for Speech Foundation Models. CoRR abs/2302.01496 (2023) - [i37]Yu Zhang, Wei Han, James Qin, Yongqiang Wang, Ankur Bapna, Zhehuai Chen, Nanxin Chen, Bo Li, Vera Axelrod, Gary Wang, Zhong Meng, Ke Hu, Andrew Rosenberg, Rohit Prabhavalkar, Daniel S. Park, Parisa Haghani, Jason Riesa, Ginger Perng, Hagen Soltau, Trevor Strohman, Bhuvana Ramabhadran, Tara N. Sainath, Pedro J. Moreno, Chung-Cheng Chiu, Johan Schalkwyk, Françoise Beaufays, Yonghui Wu:
Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages. CoRR abs/2303.01037 (2023) - [i36]Rami Botros, Rohit Prabhavalkar, Johan Schalkwyk, Ciprian Chelba, Tara N. Sainath, Françoise Beaufays:
Lego-Features: Exporting modular encoder features for streaming and deliberation ASR. CoRR abs/2304.00173 (2023) - [i35]Ke Hu, Bo Li, Tara N. Sainath, Yu Zhang, Françoise Beaufays:
Mixture-of-Expert Conformer for Streaming Multilingual ASR. CoRR abs/2305.15663 (2023) - [i34]Shefali Garg, Zhouyuan Huo, Khe Chai Sim, Suzan Schwartz, Mason Chua, Alëna Aksënova, Tsendsuren Munkhdalai, Levi King, Darryl Wright, Zion Mengesha, Dongseong Hwang, Tara N. Sainath, Françoise Beaufays, Pedro Moreno Mengibar:
Improving Speech Recognition for African American English With Audio Classification. CoRR abs/2309.09996 (2023) - 2022
- [j8]Yu Zhang
, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu:
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. IEEE J. Sel. Top. Signal Process. 16(6): 1519-1532 (2022) - [c55]Lillian Zhou, Dhruv Guliani, Andreas Kabel, Giovanni Motta, Françoise Beaufays:
Exploring Heterogeneous Characteristics of Layers in ASR Models for More Efficient Training. ICASSP 2022: 3658-3662 - [c54]Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays:
A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter IT. ICASSP 2022: 4338-4342 - [c53]Tien-Ju Yang, Dhruv Guliani, Françoise Beaufays, Giovanni Motta:
Partial Variable Training for Efficient on-Device Federated Learning. ICASSP 2022: 4348-4352 - [c52]Dongseong Hwang, Ananya Misra, Zhouyuan Huo, Nikhil Siddhartha, Shefali Garg, David Qiu, Khe Chai Sim, Trevor Strohman, Françoise Beaufays, Yanzhang He:
Large-Scale ASR Domain Adaptation Using Self- and Semi-Supervised Learning. ICASSP 2022: 6627-6631 - [c51]Tsendsuren Munkhdalai, Khe Chai Sim, Angad Chandorkar, Fan Gao, Mason Chua, Trevor Strohman, Françoise Beaufays:
Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition. ICASSP 2022: 6632-6636 - [c50]Dhruv Guliani, Lillian Zhou, Changwan Ryu, Tien-Ju Yang, Harry Zhang, Yonghui Xiao, Françoise Beaufays, Giovanni Motta:
Enabling On-Device Training of Speech Recognition Models With Federated Dropout. ICASSP 2022: 8757-8761 - [c49]Andrew Hard, Kurt Partridge, Neng Chen, Sean Augenstein, Aishanee Shah, Hyun Jin Park, Alex Park, Sara Ng, Jessica Nguyen, Ignacio López-Moreno, Rajiv Mathews, Françoise Beaufays:
Production federated keyword spotting via distillation, filtering, and joint federated-centralized training. INTERSPEECH 2022: 76-80 - [c48]Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Françoise Beaufays:
Federated Pruning: Improving Neural Network Efficiency with Federated Learning. INTERSPEECH 2022: 1701-1705 - [c47]Ehsan Amid, Om Dipakbhai Thakkar, Arun Narayanan, Rajiv Mathews, Françoise Beaufays:
Extracting Targeted Training Data from ASR Models, and How to Mitigate It. INTERSPEECH 2022: 2803-2807 - [c46]Zhouyuan Huo, Dongseong Hwang, Khe Chai Sim, Shefali Garg, Ananya Misra, Nikhil Siddhartha, Trevor Strohman, Françoise Beaufays:
Incremental Layer-Wise Self-Supervised Learning for Efficient Unsupervised Speech Domain Adaptation On Device. INTERSPEECH 2022: 4845-4849 - [i33]Andreas Kabel, Keith B. Hall, Tom Ouyang, David Rybach, Daan van Esch, Françoise Beaufays:
Handling Compounding in Mobile Keyboard Input. CoRR abs/2201.06469 (2022) - [i32]Andrew Hard, Kurt Partridge, Neng Chen, Sean Augenstein, Aishanee Shah, Hyun Jin Park, Alex Park, Sara Ng, Jessica Nguyen, Ignacio López-Moreno, Rajiv Mathews, Françoise Beaufays:
Production federated keyword spotting via distillation, filtering, and joint federated-centralized training. CoRR abs/2204.06322 (2022) - [i31]Ehsan Amid, Om Thakkar, Arun Narayanan, Rajiv Mathews, Françoise Beaufays:
Extracting Targeted Training Data from ASR Models, and How to Mitigate It. CoRR abs/2204.08345 (2022) - [i30]Tien-Ju Yang, Yonghui Xiao, Giovanni Motta, Françoise Beaufays, Rajiv Mathews, Mingqing Chen:
Online Model Compression for Federated Learning with Large Models. CoRR abs/2205.03494 (2022) - [i29]Rongmei Lin, Yonghui Xiao, Tien-Ju Yang, Ding Zhao, Li Xiong, Giovanni Motta, Françoise Beaufays:
Federated Pruning: Improving Neural Network Efficiency with Federated Learning. CoRR abs/2209.06359 (2022) - 2021
- [c45]Dhruv Guliani, Françoise Beaufays, Giovanni Motta:
Training Speech Recognition Models with Federated Learning: A Quality/Cost Framework. ICASSP 2021: 3080-3084 - [c44]Khe Chai Sim, Angad Chandorkar, Fan Gao, Mason Chua, Tsendsuren Munkhdalai, Françoise Beaufays:
Robust Continuous On-Device Personalization for Automatic Speech Recognition. Interspeech 2021: 1284-1288 - [c43]Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays:
Revealing and Protecting Labels in Distributed Training. NeurIPS 2021: 1727-1738 - [i28]Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays:
A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter It. CoRR abs/2104.07815 (2021) - [i27]Katrin Tomanek, Françoise Beaufays, Julie Cattiau, Angad Chandorkar, Khe Chai Sim:
On-Device Personalization of Automatic Speech Recognition Models for Disordered Speech. CoRR abs/2106.10259 (2021) - [i26]Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu:
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. CoRR abs/2109.13226 (2021) - [i25]Zhouyuan Huo, Dongseong Hwang, Khe Chai Sim, Shefali Garg, Ananya Misra, Nikhil Siddhartha, Trevor Strohman, Françoise Beaufays:
Incremental Layer-wise Self-Supervised Learning for Efficient Speech Domain Adaptation On Device. CoRR abs/2110.00155 (2021) - [i24]Dongseong Hwang, Ananya Misra, Zhouyuan Huo, Nikhil Siddhartha, Shefali Garg, David Qiu, Khe Chai Sim, Trevor Strohman, Françoise Beaufays, Yanzhang He:
Large-scale ASR Domain Adaptation using Self- and Semi-supervised Learning. CoRR abs/2110.00165 (2021) - [i23]Tsendsuren Munkhdalai, Khe Chai Sim, Angad Chandorkar, Fan Gao, Mason Chua, Trevor Strohman, Françoise Beaufays:
Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition. CoRR abs/2110.02220 (2021) - [i22]Dhruv Guliani, Lillian Zhou, Changwan Ryu, Tien-Ju Yang, Harry Zhang, Yonghui Xiao, Françoise Beaufays, Giovanni Motta:
Enabling On-Device Training of Speech Recognition Models with Federated Dropout. CoRR abs/2110.03634 (2021) - [i21]Lillian Zhou, Dhruv Guliani, Andreas Kabel, Giovanni Motta, Françoise Beaufays:
Exploring Heterogeneous Characteristics of Layers in ASR Models for More Efficient Training. CoRR abs/2110.04267 (2021) - [i20]Tien-Ju Yang, Dhruv Guliani, Françoise Beaufays, Giovanni Motta:
Partial Variable Training for Efficient On-Device Federated Learning. CoRR abs/2110.05607 (2021) - [i19]Trung Dang, Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Peter Chin, Françoise Beaufays:
Revealing and Protecting Labels in Distributed Training. CoRR abs/2111.00556 (2021) - 2020
- [c42]Mary Gooneratne, Khe Chai Sim, Petr Zadrazil, Andreas Kabel, Françoise Beaufays, Giovanni Motta:
Low-Rank Gradient Approximation for Memory-Efficient on-Device Training of Deep Neural Network. ICASSP 2020: 3017-3021 - [c41]Yuan Shangguan, Kate Knister, Yanzhang He, Ian McGraw, Françoise Beaufays:
Analyzing the Quality and Stability of a Streaming End-to-End On-Device Speech Recognizer. INTERSPEECH 2020: 591-595 - [i18]Mary Gooneratne, Khe Chai Sim, Petr Zadrazil, Andreas Kabel, Françoise Beaufays, Giovanni Motta:
Low-rank Gradient Approximation For Memory-Efficient On-device Training of Deep Neural Network. CoRR abs/2001.08885 (2020) - [i17]Yuan Shangguan, Kate Knister, Yanzhang He, Ian McGraw, Françoise Beaufays:
Analyzing the Quality and Stability of a Streaming End-to-End On-Device Speech Recognizer. CoRR abs/2006.01416 (2020) - [i16]Om Thakkar, Swaroop Ramaswamy, Rajiv Mathews, Françoise Beaufays:
Understanding Unintended Memorization in Federated Learning. CoRR abs/2006.07490 (2020) - [i15]Swaroop Ramaswamy, Om Thakkar, Rajiv Mathews, Galen Andrew, H. Brendan McMahan, Françoise Beaufays:
Training Production Language Models without Memorizing User Data. CoRR abs/2009.10031 (2020) - [i14]Dhruv Guliani, Françoise Beaufays, Giovanni Motta:
Training Speech Recognition Models with Federated Learning: A Quality/Cost Framework. CoRR abs/2010.15965 (2020)
2010 – 2019
- 2019
- [c40]Khe Chai Sim, Leif Johnson, Giovanni Motta, Lillian Zhou, Françoise Beaufays, Arnaud Benard, Dhruv Guliani, Andreas Kabel, Nikhil Khare, Tamar Lucassen, Petr Zadrazil, Harry Zhang:
Personalization of End-to-End Speech Recognition on Mobile Devices for Named Entities. ASRU 2019: 23-30 - [c39]Mingqing Chen, Ananda Theertha Suresh, Rajiv Mathews, Adeline Wong, Cyril Allauzen, Françoise Beaufays, Michael Riley:
Federated Learning of N-Gram Language Models. CoNLL 2019: 121-130 - [c38]Khe Chai Sim, Petr Zadrazil, Françoise Beaufays:
An Investigation into On-Device Personalization of End-to-End Automatic Speech Recognition Models. INTERSPEECH 2019: 774-778 - [i13]Mingqing Chen, Rajiv Mathews, Tom Ouyang, Françoise Beaufays:
Federated Learning Of Out-Of-Vocabulary Words. CoRR abs/1903.10635 (2019) - [i12]Swaroop Ramaswamy, Rajiv Mathews, Kanishka Rao, Françoise Beaufays:
Federated Learning for Emoji Prediction in a Mobile Keyboard. CoRR abs/1906.04329 (2019) - [i11]Khe Chai Sim, Petr Zadrazil, Françoise Beaufays:
An Investigation Into On-device Personalization of End-to-end Automatic Speech Recognition Models. CoRR abs/1909.06678 (2019) - [i10]Mingqing Chen, Ananda Theertha Suresh, Rajiv Mathews, Adeline Wong, Cyril Allauzen, Françoise Beaufays, Michael Riley:
Federated Learning of N-gram Language Models. CoRR abs/1910.03432 (2019) - [i9]Kangkang Wang, Rajiv Mathews, Chloé Kiddon, Hubert Eichner, Françoise Beaufays, Daniel Ramage:
Federated Evaluation of On-device Personalization. CoRR abs/1910.10252 (2019) - [i8]Daan van Esch, Elnaz Sarbar, Tamar Lucassen, Jeremy O'Brien, Theresa Breiner, Manasa Prasad, Evan Crew, Chieu Nguyen, Françoise Beaufays:
Writing Across the World's Languages: Deep Internationalization for Gboard, the Google Keyboard. CoRR abs/1912.01218 (2019) - [i7]Khe Chai Sim, Françoise Beaufays, Arnaud Benard, Dhruv Guliani, Andreas Kabel, Nikhil Khare, Tamar Lucassen, Petr Zadrazil, Harry Zhang, Leif Johnson, Giovanni Motta, Lillian Zhou:
Personalization of End-to-end Speech Recognition On Mobile Devices For Named Entities. CoRR abs/1912.09251 (2019) - 2018
- [i6]Andrew Hard, Kanishka Rao, Rajiv Mathews, Françoise Beaufays, Sean Augenstein, Hubert Eichner, Chloé Kiddon, Daniel Ramage:
Federated Learning for Mobile Keyboard Prediction. CoRR abs/1811.03604 (2018) - [i5]Timothy Yang, Galen Andrew, Hubert Eichner, Haicheng Sun, Wei Li, Nicholas Kong, Daniel Ramage, Françoise Beaufays:
Applied Federated Learning: Improving Google Keyboard Query Suggestions. CoRR abs/1812.02903 (2018) - 2017
- [j7]Yingxu Wang, Lotfi A. Zadeh, Bernard Widrow, Newton Howard, Françoise Beaufays, George Baciu, D. Frank Hsu, Guiming Luo, Fumio Mizoguchi, Shushma Patel, Victor Raskin, Shusaku Tsumoto, Wei Wei, Du Zhang:
Abstract Intelligence: Embodying and Enabling Cognitive Systems by Mathematical Engineering. Int. J. Cogn. Informatics Nat. Intell. 11(1): 1-15 (2017) - [c37]Lars Hellsten, Brian Roark, Prasoon Goyal, Cyril Allauzen, Françoise Beaufays, Tom Ouyang, Michael Riley, David Rybach:
Transliterated Mobile Keyboard Input via Weighted Finite-State Transducers. FSMNLP 2017: 10-19 - [c36]Hasim Sak, Matt Shannon, Kanishka Rao, Françoise Beaufays:
Recurrent Neural Aligner: An Encoder-Decoder Neural Network Model for Sequence to Sequence Mapping. INTERSPEECH 2017: 1298-1302 - [c35]Antoine Bruguier, Danushen Gnanapragasam, Leif Johnson, Kanishka Rao, Françoise Beaufays:
Pronunciation Learning with RNN-Transducers. INTERSPEECH 2017: 2556-2560 - [p1]Michiel Bacchiani, Françoise Beaufays, Alexander Gruenstein, Pedro J. Moreno, Johan Schalkwyk, Trevor Strohman, Heiga Zen:
Speech Research at Google to Enable Universal Speech Interfaces. New Era for Robust Speech Recognition, Exploiting Deep Learning 2017: 385-399 - [i4]Tom Ouyang, David Rybach, Françoise Beaufays, Michael Riley:
Mobile Keyboard Input Decoding with Finite-State Transducers. CoRR abs/1704.03987 (2017) - 2016
- [c34]Françoise Beaufays:
Learnings and innovations in speech recognition. ICCI*CC 2016: 4 - [c33]Ian McGraw, Rohit Prabhavalkar, Raziel Alvarez, Montse Gonzalez Arenas, Kanishka Rao, David Rybach, Ouais Alsharif, Hasim Sak, Alexander Gruenstein, Françoise Beaufays, Carolina Parada:
Personalized speech recognition on mobile devices. ICASSP 2016: 5955-5959 - [c32]Antoine Bruguier, Fuchun Peng, Françoise Beaufays:
Learning Personalized Pronunciations for Contact Name Recognition. INTERSPEECH 2016: 3096-3100 - [i3]Ian McGraw, Rohit Prabhavalkar, Raziel Alvarez, Montse Gonzalez Arenas, Kanishka Rao, David Rybach, Ouais Alsharif, Hasim Sak, Alexander Gruenstein, Françoise Beaufays, Carolina Parada:
Personalized Speech recognition on mobile devices. CoRR abs/1603.03185 (2016) - 2015
- [j6]Javier Gonzalez-Dominguez, David Eustis, Ignacio López-Moreno, Andrew W. Senior, Françoise Beaufays, Pedro J. Moreno:
A Real-Time End-to-End Multilingual Speech Recognition Architecture. IEEE J. Sel. Top. Signal Process. 9(4): 749-759 (2015) - [c31]Ouais Alsharif, Tom Ouyang, Françoise Beaufays, Shumin Zhai, Thomas M. Breuel, Johan Schalkwyk:
Long short term memory neural network for keyboard gesture decoding. ICASSP 2015: 2076-2080 - [c30]Kanishka Rao, Fuchun Peng, Hasim Sak, Françoise Beaufays:
Grapheme-to-phoneme conversion using Long Short-Term Memory recurrent neural networks. ICASSP 2015: 4225-4229 - [c29]Hasim Sak, Andrew W. Senior, Kanishka Rao, Ozan Irsoy, Alex Graves, Françoise Beaufays, Johan Schalkwyk:
Learning acoustic frame labeling for speech recognition with recurrent neural networks. ICASSP 2015: 4280-4284 - [c28]Zhenzhen Kou, Daisy Stanton, Fuchun Peng, Françoise Beaufays, Trevor Strohman:
Fix it where it fails: Pronunciation learning by mining error corrections from speech logs. ICASSP 2015: 4619-4623 - [c27]Kanishka Rao, Fuchun Peng, Françoise Beaufays:
Automatic pronunciation verification for speech recognition. ICASSP 2015: 5162-5166 - [c26]Keith B. Hall, Eunjoon Cho, Cyril Allauzen, Françoise Beaufays, Noah Coccaro, Kaisuke Nakajima, Michael Riley, Brian Roark, David Rybach, Linda Zhang:
Composition-based on-the-fly rescoring for salient n-gram biasing. INTERSPEECH 2015: 1418-1422 - [c25]Hasim Sak, Andrew W. Senior, Kanishka Rao, Françoise Beaufays:
Fast and accurate recurrent neural network acoustic models for speech recognition. INTERSPEECH 2015: 1468-1472 - [c24]Hank Liao, Golan Pundak, Olivier Siohan, Melissa K. Carroll, Noah Coccaro, Qi-Ming Jiang, Tara N. Sainath, Andrew W. Senior, Françoise Beaufays, Michiel Bacchiani:
Large vocabulary automatic speech recognition for children. INTERSPEECH 2015: 1611-1615 - [c23]Christophe Van Gysel, Leonid Velikovich, Ian McGraw, Françoise Beaufays:
Garbage modeling for on-device speech recognition. INTERSPEECH 2015: 2127-2131 - [i2]Hasim Sak, Andrew W. Senior, Kanishka Rao, Françoise Beaufays:
Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition. CoRR abs/1507.06947 (2015) - 2014
- [c22]Hasim Sak, Andrew W. Senior, Françoise Beaufays:
Long short-term memory recurrent neural network architectures for large scale acoustic modeling. INTERSPEECH 2014: 338-342 - [c21]Attapol T. Rutherford, Fuchun Peng, Françoise Beaufays:
Pronunciation learning for named-entities through crowd-sourcing. INTERSPEECH 2014: 1448-1452 - [i1]Hasim Sak, Andrew W. Senior, Françoise Beaufays:
Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition. CoRR abs/1402.1128 (2014) - 2013
- [c20]Hasim Sak, Cyril Allauzen, Kaisuke Nakajima, Françoise Beaufays:
Mixture of mixture n-gram language models. ASRU 2013: 31-36 - [c19]Fuchun Peng, Scott Roy, Ben Shahshahani, Françoise Beaufays:
Search results based N-best hypothesis rescoring with maximum entropy classification. ASRU 2013: 422-427 - [c18]Françoise Beaufays, Brian Strope:
Language model capitalization. ICASSP 2013: 6749-6752 - [c17]Hasim Sak, Françoise Beaufays, Kaisuke Nakajima, Cyril Allauzen:
Language model verbalization for automatic speech recognition. ICASSP 2013: 8262-8266 - [c16]Hasim Sak, Yun-Hsuan Sung, Françoise Beaufays, Cyril Allauzen:
Written-domain language modeling for automatic speech recognition. INTERSPEECH 2013: 675-679 - 2012
- [c15]Hui Lin, Jui-Ting Huang, Françoise Beaufays, Brian Strope, Yun-Hsuan Sung:
Recognition of multilingual speech in mobile applications. ICASSP 2012: 4881-4884 - 2011
- [c14]Hung-An Chang, Yun-Hsuan Sung, Brian Strope, Françoise Beaufays:
Recognizing English queries in Mandarin Voice Search. ICASSP 2011: 5016-5019 - 2010
- [c13]Françoise Beaufays, Vincent Vanhoucke, Brian Strope:
Unsupervised discovery and training of maximally dissimilar cluster models. INTERSPEECH 2010: 66-69
2000 – 2009
- 2009
- [c12]Yun-Hsuan Sung, Thad Hughes, Françoise Beaufays, Brian Strope:
Revisiting graphemes with increasing amounts of data. ICASSP 2009: 4449-4452 - 2008
- [c11]Michiel Bacchiani, Françoise Beaufays, Johan Schalkwyk, Mike Schuster, Brian Strope:
Deploying GOOG-411: Early lessons in data, measurement, and testing. ICASSP 2008: 5260-5263 - 2003
- [c10]Françoise Beaufays, Daniel Boies, Mitch Weintraub, Qifeng Zhu:
Using speech/non-speech detection to bias recognition search on noisy data. ICASSP (1) 2003: 424-427 - [c9]Françoise Beaufays, Ananth Sankar, Shaun Williams, Mitch Weintraub:
Learning Name Pronunciations in Automatic Speech Recognition Systems. ICTAI 2003: 233-240 - [c8]Françoise Beaufays, Ananth Sankar, Shaun Williams, Mitch Weintraub:
Learning linguistically valid pronunciations from acoustic data. INTERSPEECH 2003: 2593-2596 - 2002
- [c7]Françoise Beaufays, Daniel Boies, Mitch Weintraub:
Porting channel robustness across languages. INTERSPEECH 2002: 809-812
1990 – 1999
- 1999
- [j5]Hema A. Murthy, Françoise Beaufays, Larry P. Heck, Mitchel Weintraub:
Robust text-independent speaker identification over telephone channels. IEEE Trans. Speech Audio Process. 7(5): 554-568 (1999) - [c6]Françoise Beaufays, Mitchel Weintraub, Yochai Konig:
Discriminative mixture weight estimation for large Gaussian mixture models. ICASSP 1999: 337-340 - 1997
- [c5]Mitch Weintraub, Françoise Beaufays, Zeév Rivlin, Yochai Konig, Andreas Stolcke:
Neural-network based measures of confidence for word recognition. ICASSP 1997: 887-890 - [c4]Françoise Beaufays, Mitch Weintraub:
Model transformation for robust speaker recognition from telephone data. ICASSP 1997: 1063-1066 - [c3]Eric A. Wan, Françoise Beaufays:
Diagrammatic Methods for Deriving and Relating Temporal Neural Network Algorithms. Summer School on Neural Networks 1997: 63-98 - 1996
- [j4]Eric A. Wan, Françoise Beaufays:
Diagrammatic Derivation of Gradient Algorithms for Neural Networks. Neural Comput. 8(1): 182-201 (1996) - 1995
- [j3]Françoise Beaufays:
Transform-domain adaptive filters: an analytical approach. IEEE Trans. Signal Process. 43(2): 422-431 (1995) - [c2]Ananth Sankar, Françoise Beaufays, Vassilios Digalakis:
Training data clustering for improved speech recognition. EUROSPEECH 1995: 503-506 - 1994
- [j2]Françoise Beaufays, Eric A. Wan:
Relating Real-Time Backpropagation and Backpropagation-Through-Time: An Application of Flow Graph Interreciprocity. Neural Comput. 6(2): 296-306 (1994) - [j1]Françoise Beaufays, Youssef Lotfy Abdel-Magid, Bernard Widrow:
Application of neural networks to load-frequency control in power systems. Neural Networks 7(1): 183-194 (1994) - 1993
- [c1]Bernard Widrow, Michael A. Lehr, Françoise Beaufays, Eric A. Wan, Michel Bilello:
Learning algorithms for adaptive processing and control. ICNN 1993: 1-8
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-09 13:01 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
