基本信息
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Bio
Françoise Beaufays is a Research Scientist at Google, where she leads a team working on on-device machine learning for Speech and Mobile Keyboard models. Her area of scientific expertise covers deep learning, sequence-to-sequence modeling, language modeling and other technologies related to natural language processing, with a recent focus on privacy-preserving modeling techniques. Françoise studied Mechanical and Electrical Engineering in Brussels, Belgium. She holds a PhD in Electrical Engineering and a PhD minor in Italian Literature, both from Stanford University.
Research Areas
Data Mining and Modeling
Machine Intelligence
Mobile Systems
Natural Language Processing
Speech Processing
Research Areas
Data Mining and Modeling
Machine Intelligence
Mobile Systems
Natural Language Processing
Speech Processing
Research Interests
Papers共 120 篇Author StatisticsCo-AuthorSimilar Experts
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Takaaki Saeki,Gary Wang,Nobuyuki Morioka,Isaac Elias,Kyle Kastner, Fadi Biadsy,Andrew Rosenberg,Bhuvana Ramabhadran,Heiga Zen,Françoise Beaufays, Hadar Shemtov
arxiv(2024)
Conference of the International Speech Communication Association (2023): 3327-3331
CoRR (2023): 1-5
CoRR (2023)
ICASSPpp.1-5, (2023)
Shefali Garg,Zhouyuan Huo,Khe Chai Sim,Suzan Schwartz,Mason Chua,Alëna Aksënova,Tsendsuren Munkhdalai, Levi King, Darryl Wright,Zion Mengesha,Dongseong Hwang,Tara Sainath,
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023): 12356-12360
Andrew Hard,Kurt Partridge, Neng Chen,Sean Augenstein,Aishanee Shah,Hyun Jin Park,Alex Park, Sara Ng, Jessica Nguyen,Ignacio Lopez Moreno,Rajiv Mathews,Françoise Beaufays
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