2026 Francoise Beaufays: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	40	9061	8804	3850	3695	126	12720

Overview

Francoise Beaufays is affiliated with Google in the United States. Their research primarily centers on computer science, with a strong focus on artificial intelligence and signal processing.

Their publication record includes significant contributions to speech recognition and related areas. The main topics covered in their work are:

Speech Recognition and Synthesis
Speech and Audio Processing
Music and Audio Processing
Privacy-Preserving Technologies in Data
Topic Modeling
Speech and dialogue systems
Natural Language Processing Techniques

Beaufays has published extensively across several venues, notably:

arXiv (Cornell University)
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Interspeech 2022
IEEE Journal of Selected Topics in Signal Processing

Recent papers authored or co-authored by Beaufays encompass:

"BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition" (2022) IEEE Journal of Selected Topics in Signal Processing
"Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages" (2023) arXiv (Cornell University)
"Large-Scale ASR Domain Adaptation Using Self- and Semi-Supervised Learning" (2022) ICASSP 2022
"Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition" (2022) ICASSP 2022
"Understanding Unintended Memorization in Federated Learning" (2020) arXiv (Cornell University)

Frequent co-authors in Beaufays's research network include:

Khe Chai Sim
Giovanni Motta
Rajiv Mathews
Trevor Strohman
Tien-Ju Yang

Beaufays's work engages deeply with the development and scaling of automatic speech recognition systems, including domain adaptation methods and privacy considerations in federated learning. Their research also extends to contextual adaptation techniques and multilingual speech recognition frameworks.

Best Publications

Long Short-Term Memory Recurrent Neural Network Architectures for Large Scale Acoustic Modeling

Hasim Sak;Andrew W. Senior;Françoise Beaufays

3237
Citations
Federated Learning for Mobile Keyboard Prediction

Andrew Hard;Chloé M Kiddon;Daniel Ramage;Francoise Beaufays

1292
Citations
Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition

Hasim Sak;Andrew W. Senior;Françoise Beaufays

1074
Citations
Applied Federated Learning: Improving Google Keyboard Query Suggestions

Timothy Yang;Galen Andrew;Hubert Eichner;Haicheng Sun

535
Citations
Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition

Hasim Sak;Andrew W. Senior;Kanishka Rao;Françoise Beaufays

488
Citations
“Your Word is my Command”: Google Search by Voice: A Case Study

Johan Schalkwyk;Doug Beeferman;Françoise Beaufays;Bill Byrne

409
Citations
Business listing search

Brian Strope;William J. Byrne;Francoise Beaufays

349
Citations
Transform-domain adaptive filters: an analytical approach

F. Beaufays

296
Citations
Speech Recognition with Parallel Recognition Tasks

Brian Patrick Strope;Francoise Beaufays;Olivier Siohan

292
Citations
Integrating voice-enabled local search and contact lists

Francoise Beaufays;Brian Strope;William J. Byrne

273
Citations
Application of neural networks to load-frequency control in power systems

Françoise Beaufays;Youssef Abdel-Magid;Bernard Widrow

258
Citations
Grapheme-to-phoneme conversion using Long Short-Term Memory recurrent neural networks

Kanishka Rao;Fuchun Peng;Hasim Sak;Francoise Beaufays

258
Citations
Learning acoustic frame labeling for speech recognition with recurrent neural networks

Hasim Sak;Andrew Senior;Kanishka Rao;Ozan Irsoy

215
Citations
Personalized speech recognition on mobile devices

Ian McGraw;Rohit Prabhavalkar;Raziel Alvarez;Montse Gonzalez Arenas

202
Citations
Neural-network based measures of confidence for word recognition

M. Weintraub;F. Beaufays;Z. Rivlin;Y. Konig

197
Citations
Method and system for learning linguistically valid word pronunciations from acoustic data

Francoise Beaufays;Ananth Sankar;Mitchel Weintraub;Shaun Williams

180
Citations
Robust text-independent speaker identification over telephone channels

H.A. Murthy;F. Beaufays;L.P. Heck;M. Weintraub

161
Citations
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition

Yu Zhang;Daniel S. Park;Wei Han;James Qin

156
Citations
Data driven pronunciation learning with crowd sourcing

Fuchun Peng;Francoise Beaufays;Brian Strope;Xin Lei

137
Citations
Recurrent Neural Aligner: An Encoder-Decoder Neural Network Model for Sequence to Sequence Mapping.

Haşim Sak;Matt Shannon;Kanishka Rao;Françoise Beaufays

130
Citations
Federated Evaluation of On-device Personalization

Chloé M Kiddon;Daniel R Ramage;Françoise Simone Beaufays;Hubert Eichner

111
Citations
Federated Learning Of Out-Of-Vocabulary Words

Francoise Beaufays;Rajiv Mathews

109
Citations

Frequent Co-Authors

Hasim Sak Google (United States)

Eric A. Wan Portland State University

Andrew W. Senior Google (United States)

Bernard Widrow Stanford University

Michael Riley Google (United States)

Michiel Bacchiani Google (United States)

Daniel Ramage Google (United States)

Jakob Foerster University of Oxford

Thomas M. Breuel Nvidia (United States)

Tara N. Sainath Google (United States)

External Links

Personal website of Francoise Beaufays Google Scholar page

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring computer science in the USA brings a world of educational opportunities. Many students also consider related degrees that can open different career pathways, often available as flexible online programs. For those interested in the intersection of business and tech, executive mba online programs are a smart choice for advancing leadership skills and strategic management abilities.

If your passion leans toward information management, look into earning an mlis degree (Master of Library and Information Science), which can lead to roles in data curation, digital libraries, and beyond. For budget-conscious students, there are numerous cheap online master's programs that deliver quality education in many fields, including technology and computer science.

Ambitious professionals may aspire to leadership in organizations by pursuing an online phd in organizational leadership. This path is ideal for those aiming to drive innovation or lead teams in tech-driven industries. Exploring these related programs can expand your expertise and enhance your career options in the digital age.