Learning algorithms for adaptive processing and control. - Bernard Widrow; Michael A. Lehr; Françoise Beaufays; Eric A. Wan; Michel Bilello (ICNN, 1993)

Relating Real-Time Backpropagation and Backpropagation-Through-Time: An Application of Flow Graph Interreciprocity. - Françoise Beaufays; Eric A. Wan (Neural Comput., 1994)

Application of neural networks to load-frequency control in power systems. - Françoise Beaufays; Youssef Lotfy Abdel-Magid; Bernard Widrow (Neural Networks, 1994)

Training data clustering for improved speech recognition. - Ananth Sankar; Françoise Beaufays; Vassilios Digalakis (EUROSPEECH, 1995)

Transform-domain adaptive filters: an analytical approach. - Françoise Beaufays (IEEE Trans. Signal Process., 1995)

Diagrammatic Derivation of Gradient Algorithms for Neural Networks. - Eric A. Wan; Françoise Beaufays (Neural Comput., 1996)

Model transformation for robust speaker recognition from telephone data. - Françoise Beaufays; Mitch Weintraub (ICASSP, 1997)

Neural-network based measures of confidence for word recognition. - Mitch Weintraub; Françoise Beaufays; Zeév Rivlin; Yochai Konig; Andreas Stolcke (ICASSP, 1997)

Diagrammatic Methods for Deriving and Relating Temporal Neural Network Algorithms. - Eric A. Wan; Françoise Beaufays (Summer School on Neural Networks, 1997)

Discriminative mixture weight estimation for large Gaussian mixture models. - Françoise Beaufays; Mitchel Weintraub; Yochai Konig (ICASSP, 1999)

Robust text-independent speaker identification over telephone channels. - Hema A. Murthy; Françoise Beaufays; Larry P. Heck; Mitchel Weintraub (IEEE Trans. Speech Audio Process., 1999)

Porting channel robustness across languages. - Françoise Beaufays; Daniel Boies; Mitch Weintraub (INTERSPEECH, 2002)

Using speech/non-speech detection to bias recognition search on noisy data. - Françoise Beaufays; Daniel Boies; Mitch Weintraub; Qifeng Zhu 001 (ICASSP (1), 2003)

Learning Name Pronunciations in Automatic Speech Recognition Systems. - Françoise Beaufays; Ananth Sankar; Shaun Williams; Mitch Weintraub (ICTAI, 2003)

Learning linguistically valid pronunciations from acoustic data. - Françoise Beaufays; Ananth Sankar; Shaun Williams; Mitch Weintraub (INTERSPEECH, 2003)

Deploying GOOG-411: Early lessons in data, measurement, and testing. - Michiel Bacchiani; Françoise Beaufays; Johan Schalkwyk; Mike Schuster; Brian Strope (ICASSP, 2008)

Revisiting graphemes with increasing amounts of data. - Yun-Hsuan Sung; Thad Hughes; Françoise Beaufays; Brian Strope (ICASSP, 2009)

Unsupervised discovery and training of maximally dissimilar cluster models. - Françoise Beaufays; Vincent Vanhoucke; Brian Strope (INTERSPEECH, 2010)

Recognizing English queries in Mandarin Voice Search. - Hung-An Chang; Yun-Hsuan Sung; Brian Strope; Françoise Beaufays (ICASSP, 2011)

Recognition of multilingual speech in mobile applications. - Hui Lin; Jui-Ting Huang; Françoise Beaufays; Brian Strope; Yun-Hsuan Sung (ICASSP, 2012)

Search results based N-best hypothesis rescoring with maximum entropy classification. - Fuchun Peng; Scott Roy; Ben Shahshahani; Françoise Beaufays (ASRU, 2013)

Mixture of mixture n-gram language models. - Hasim Sak; Cyril Allauzen; Kaisuke Nakajima; Françoise Beaufays (ASRU, 2013)

Language model capitalization. - Françoise Beaufays; Brian Strope (ICASSP, 2013)

Language model verbalization for automatic speech recognition. - Hasim Sak; Françoise Beaufays; Kaisuke Nakajima; Cyril Allauzen (ICASSP, 2013)

Written-domain language modeling for automatic speech recognition. - Hasim Sak; Yun-Hsuan Sung; Françoise Beaufays; Cyril Allauzen (INTERSPEECH, 2013)

Pronunciation learning for named-entities through crowd-sourcing. - Attapol T. Rutherford; Fuchun Peng; Françoise Beaufays (INTERSPEECH, 2014)

Long short-term memory recurrent neural network architectures for large scale acoustic modeling. - Hasim Sak; Andrew W. Senior; Françoise Beaufays (INTERSPEECH, 2014)

Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition. - Hasim Sak; Andrew W. Senior; Françoise Beaufays (CoRR, 2014)

Long short term memory neural network for keyboard gesture decoding. - Ouais Alsharif; Tom Ouyang; Françoise Beaufays; Shumin Zhai; Thomas M. Breuel; Johan Schalkwyk (ICASSP, 2015)

Fix it where it fails: Pronunciation learning by mining error corrections from speech logs. - Zhenzhen Kou; Daisy Stanton; Fuchun Peng; Françoise Beaufays; Trevor Strohman (ICASSP, 2015)

Automatic pronunciation verification for speech recognition. - Kanishka Rao; Fuchun Peng; Françoise Beaufays (ICASSP, 2015)

Grapheme-to-phoneme conversion using Long Short-Term Memory recurrent neural networks. - Kanishka Rao; Fuchun Peng; Hasim Sak; Françoise Beaufays (ICASSP, 2015)

Learning acoustic frame labeling for speech recognition with recurrent neural networks. - Hasim Sak; Andrew W. Senior; Kanishka Rao; Ozan Irsoy; Alex Graves; Françoise Beaufays; Johan Schalkwyk (ICASSP, 2015)

Garbage modeling for on-device speech recognition. - Christophe Van Gysel; Leonid Velikovich; Ian McGraw; Françoise Beaufays (INTERSPEECH, 2015)

Composition-based on-the-fly rescoring for salient n-gram biasing. - Keith B. Hall; Eunjoon Cho; Cyril Allauzen; Françoise Beaufays; Noah Coccaro; Kaisuke Nakajima; Michael Riley 001; Brian Roark; David Rybach; Linda Zhang 004 (INTERSPEECH, 2015)

Large vocabulary automatic speech recognition for children. - Hank Liao; Golan Pundak; Olivier Siohan; Melissa K. Carroll; Noah Coccaro; Qi-Ming Jiang; Tara N. Sainath; Andrew W. Senior; Françoise Beaufays; Michiel Bacchiani (INTERSPEECH, 2015)

Fast and accurate recurrent neural network acoustic models for speech recognition. - Hasim Sak; Andrew W. Senior; Kanishka Rao; Françoise Beaufays (INTERSPEECH, 2015)

A Real-Time End-to-End Multilingual Speech Recognition Architecture. - Javier Gonzalez-Dominguez; David Eustis; Ignacio López-Moreno; Andrew W. Senior; Françoise Beaufays; Pedro J. Moreno 001 (IEEE J. Sel. Top. Signal Process., 2015)

Learnings and innovations in speech recognition. - Françoise Beaufays (ICCI*CC, 2016)

Personalized speech recognition on mobile devices. - Ian McGraw; Rohit Prabhavalkar; Raziel Alvarez; Montse Gonzalez Arenas; Kanishka Rao; David Rybach; Ouais Alsharif; Hasim Sak; Alexander Gruenstein; Françoise Beaufays; Carolina Parada (ICASSP, 2016)

Learning Personalized Pronunciations for Contact Name Recognition. - Antoine Bruguier; Fuchun Peng; Françoise Beaufays (INTERSPEECH, 2016)

Speech Research at Google to Enable Universal Speech Interfaces. - Michiel Bacchiani; Françoise Beaufays; Alexander Gruenstein; Pedro J. Moreno 001; Johan Schalkwyk; Trevor Strohman; Heiga Zen (New Era for Robust Speech Recognition, Exploiting Deep Learning, 2017)

Transliterated Mobile Keyboard Input via Weighted Finite-State Transducers. - Lars Hellsten; Brian Roark; Prasoon Goyal; Cyril Allauzen; Françoise Beaufays; Tom Ouyang; Michael Riley 001; David Rybach (FSMNLP, 2017)

Pronunciation Learning with RNN-Transducers. - Antoine Bruguier; Danushen Gnanapragasam; Leif Johnson; Kanishka Rao; Françoise Beaufays (INTERSPEECH, 2017)

Recurrent Neural Aligner: An Encoder-Decoder Neural Network Model for Sequence to Sequence Mapping. - Hasim Sak; Matt Shannon; Kanishka Rao; Françoise Beaufays (INTERSPEECH, 2017)

Mobile Keyboard Input Decoding with Finite-State Transducers. - Tom Ouyang; David Rybach; Françoise Beaufays; Michael Riley 001 (CoRR, 2017)

Abstract Intelligence: Embodying and Enabling Cognitive Systems by Mathematical Engineering. - Yingxu Wang 001; Lotfi A. Zadeh; Bernard Widrow; Newton Howard; Françoise Beaufays; George Baciu; D. Frank Hsu; Guiming Luo; Fumio Mizoguchi; Shushma Patel; Victor Raskin; Shusaku Tsumoto; et al. (Int. J. Cogn. Informatics Nat. Intell., 2017)

Federated Learning for Mobile Keyboard Prediction. - Andrew Hard; Kanishka Rao; Rajiv Mathews; Françoise Beaufays; Sean Augenstein; Hubert Eichner; Chloé Kiddon; Daniel Ramage (CoRR, 2018)

Applied Federated Learning: Improving Google Keyboard Query Suggestions. - Timothy Yang; Galen Andrew; Hubert Eichner; Haicheng Sun; Wei Li; Nicholas Kong; Daniel Ramage; Françoise Beaufays (CoRR, 2018)

Personalization of End-to-End Speech Recognition on Mobile Devices for Named Entities. - 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 (ASRU, 2019)

Federated Learning of N-Gram Language Models. - Mingqing Chen; Ananda Theertha Suresh; Rajiv Mathews; Adeline Wong; Cyril Allauzen; Françoise Beaufays; Michael Riley 001 (CoNLL, 2019)

An Investigation into On-Device Personalization of End-to-End Automatic Speech Recognition Models. - Khe Chai Sim; Petr Zadrazil; Françoise Beaufays (INTERSPEECH, 2019)

Federated Learning Of Out-Of-Vocabulary Words. - Mingqing Chen; Rajiv Mathews; Tom Ouyang; Françoise Beaufays (CoRR, 2019)

Federated Learning for Emoji Prediction in a Mobile Keyboard. - Swaroop Ramaswamy; Rajiv Mathews; Kanishka Rao; Françoise Beaufays (CoRR, 2019)

Federated Evaluation of On-device Personalization. - Kangkang Wang; Rajiv Mathews; Chloé Kiddon; Hubert Eichner; Françoise Beaufays; Daniel Ramage (CoRR, 2019)

Writing Across the World's Languages: Deep Internationalization for Gboard, the Google Keyboard. - Daan van Esch; Elnaz Sarbar; Tamar Lucassen; Jeremy O'Brien; Theresa Breiner; Manasa Prasad; Evan Crew; Chieu Nguyen; Françoise Beaufays (CoRR, 2019)

Low-Rank Gradient Approximation for Memory-Efficient on-Device Training of Deep Neural Network. - Mary Gooneratne; Khe Chai Sim; Petr Zadrazil; Andreas Kabel; Françoise Beaufays; Giovanni Motta (ICASSP, 2020)

Analyzing the Quality and Stability of a Streaming End-to-End On-Device Speech Recognizer. - Yuan Shangguan; Kate Knister; Yanzhang He; Ian McGraw; Françoise Beaufays (INTERSPEECH, 2020)

Understanding Unintended Memorization in Federated Learning. - Om Thakkar 001; Swaroop Ramaswamy; Rajiv Mathews; Françoise Beaufays (CoRR, 2020)

Training Production Language Models without Memorizing User Data. - Swaroop Ramaswamy; Om Thakkar 001; Rajiv Mathews; Galen Andrew; H. Brendan McMahan; Françoise Beaufays (CoRR, 2020)

Training Speech Recognition Models with Federated Learning: A Quality/Cost Framework. - Dhruv Guliani; Françoise Beaufays; Giovanni Motta (ICASSP, 2021)

Robust Continuous On-Device Personalization for Automatic Speech Recognition. - Khe Chai Sim; Angad Chandorkar; Fan Gao; Mason Chua; Tsendsuren Munkhdalai; Françoise Beaufays (Interspeech, 2021)

Revealing and Protecting Labels in Distributed Training. - Trung Dang 002; Om Thakkar 001; Swaroop Ramaswamy; Rajiv Mathews; Peter Chin 001; Françoise Beaufays (NeurIPS, 2021)

On-Device Personalization of Automatic Speech Recognition Models for Disordered Speech. - Katrin Tomanek; Françoise Beaufays; Julie Cattiau; Angad Chandorkar; Khe Chai Sim (CoRR, 2021)

Incremental Layer-wise Self-Supervised Learning for Efficient Speech Domain Adaptation On Device. - Zhouyuan Huo; Dongseong Hwang; Khe Chai Sim; Shefali Garg; Ananya Misra; Nikhil Siddhartha; Trevor Strohman; Françoise Beaufays (CoRR, 2021)

A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter IT. - Trung Dang 002; Om Thakkar 001; Swaroop Ramaswamy; Rajiv Mathews; Peter Chin 001; Françoise Beaufays (ICASSP, 2022)

Enabling On-Device Training of Speech Recognition Models With Federated Dropout. - Dhruv Guliani; Lillian Zhou; Changwan Ryu; Tien-Ju Yang; Harry Zhang; Yonghui Xiao; Françoise Beaufays; Giovanni Motta (ICASSP, 2022)

Large-Scale ASR Domain Adaptation Using Self- and Semi-Supervised Learning. - Dongseong Hwang; Ananya Misra; Zhouyuan Huo; Nikhil Siddhartha; Shefali Garg; David Qiu; Khe Chai Sim; Trevor Strohman; Françoise Beaufays; Yanzhang He (ICASSP, 2022)

Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition. - Tsendsuren Munkhdalai; Khe Chai Sim; Angad Chandorkar; Fan Gao; Mason Chua; Trevor Strohman; Françoise Beaufays (ICASSP, 2022)

Partial Variable Training for Efficient on-Device Federated Learning. - Tien-Ju Yang; Dhruv Guliani; Françoise Beaufays; Giovanni Motta (ICASSP, 2022)

Exploring Heterogeneous Characteristics of Layers in ASR Models for More Efficient Training. - Lillian Zhou; Dhruv Guliani; Andreas Kabel; Giovanni Motta; Françoise Beaufays (ICASSP, 2022)

Extracting Targeted Training Data from ASR Models, and How to Mitigate It. - Ehsan Amid; Om Dipakbhai Thakkar; Arun Narayanan; Rajiv Mathews; Françoise Beaufays (INTERSPEECH, 2022)

Production federated keyword spotting via distillation, filtering, and joint federated-centralized training. - Andrew Hard; Kurt Partridge; Neng Chen; Sean Augenstein; Aishanee Shah; Hyun Jin Park; Alex Park 001; Sara Ng; Jessica Nguyen; Ignacio López-Moreno; Rajiv Mathews; Françoise Beaufays (INTERSPEECH, 2022)

Incremental Layer-Wise Self-Supervised Learning for Efficient Unsupervised Speech Domain Adaptation On Device. - Zhouyuan Huo; Dongseong Hwang; Khe Chai Sim; Shefali Garg; Ananya Misra; Nikhil Siddhartha; Trevor Strohman; Françoise Beaufays (INTERSPEECH, 2022)

Federated Pruning: Improving Neural Network Efficiency with Federated Learning. - Rongmei Lin; Yonghui Xiao; Tien-Ju Yang; Ding Zhao; Li Xiong 001; Giovanni Motta; Françoise Beaufays (INTERSPEECH, 2022)

Handling Compounding in Mobile Keyboard Input. - Andreas Kabel; Keith B. Hall; Tom Ouyang; David Rybach; Daan van Esch; Françoise Beaufays (CoRR, 2022)

BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. - Yu Zhang 033; Daniel S. Park; Wei Han 002; James Qin; Anmol Gulati; Joel Shor; Aren Jansen; Yuanzhong Xu; Yanping Huang; Shibo Wang; Zongwei Zhou; Bo Li 028; et al. (IEEE J. Sel. Top. Signal Process., 2022)

Lego-Features: Exporting Modular Encoder Features for Streaming and Deliberation ASR. - Rami Botros; Rohit Prabhavalkar; Johan Schalkwyk; Ciprian Chelba; Tara N. Sainath; Françoise Beaufays (ICASSP, 2023)

Efficient Domain Adaptation for Speech Foundation Models. - Bo Li 028; Dongseong Hwang; Zhouyuan Huo; Junwen Bai; Guru Prakash; Tara N. Sainath; Khe Chai Sim; Yu Zhang 033; Wei Han 002; Trevor Strohman; Françoise Beaufays (ICASSP, 2023)

Online Model Compression for Federated Learning with Large Models. - Tien-Ju Yang; Yonghui Xiao; Giovanni Motta; Françoise Beaufays; Rajiv Mathews; Mingqing Chen (ICASSP, 2023)

Mixture-of-Expert Conformer for Streaming Multilingual ASR. - Ke Hu; Bo Li 028; Tara N. Sainath; Yu Zhang 033; Françoise Beaufays (INTERSPEECH, 2023)

Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages. - Yu Zhang 033; Wei Han 002; James Qin; Yongqiang Wang; Ankur Bapna; Zhehuai Chen; Nanxin Chen; Bo Li 028; Vera Axelrod; Gary Wang; Zhong Meng; Ke Hu; et al. (CoRR, 2023)

Improving Speech Recognition for African American English with Audio Classification. - 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; et al. (ICASSP, 2024)

Extending Multilingual Speech Synthesis to 100+ Languages without Transcribed Data. - Takaaki Saeki; Gary Wang; Nobuyuki Morioka; Isaac Elias; Kyle Kastner; Andrew Rosenberg; Bhuvana Ramabhadran; Heiga Zen; Françoise Beaufays; Hadar Shemtov (ICASSP, 2024)

Federated Learning of Large ASR Models in the Real World. - Yonghui Xiao; Yuxin Ding; Changwan Ryu; Petr Zadrazil; Françoise Beaufays (CoRR, 2024)

Speech Re-Painting for Robust ASR. - Kyle Kastner; Gary Wang; Isaac Elias; Takaaki Saeki; Pedro Moreno Mengibar; Françoise Beaufays; Andrew Rosenberg; Bhuvana Ramabhadran (ICASSP, 2025)