← Authors

Françoise Beaufays

14 papers · 2016–2023 · 4 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (7) 🗺️ Taxonomy Completionist (24) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) 🌍 Conference Polyglot (4) 📛 The Namer 🏆 Keyword Champion (2) 🔥 Unstoppable (5) 💎 Century Club (14) 🚀 Conference Pioneer 🗃️ Keyword Collector (75)

Conferences

INTERSPEECH (11) CONLL (1) NAACL (1) NIPS (1)

Top co-authors

Rajiv Mathews (5) Khe Chai Sim (3) Antoine Bruguier (2) Kanishka Rao (2) Swaroop Ramaswamy (2) Om Dipakbhai Thakkar (2) Mingqing Chen (1) Kate Knister (1) Aishanee Shah (1) Tsendsuren Munkhdalai (1)

Keywords

speech recognition (5) automatic speech recognition (5) federated learning (4) model personalization (2) on-device training (2) on-device personalization (2) on-device learning (2) domain adaptation (1) continual learning (1) differential privacy (1) data augmentation (1) incremental learning (1) model distillation (1) privacy-preserving learning (1) neural network pruning (1) gradient descent (1) dynamic programming (1) knowledge distillation (1) connectionist temporal classification (1) acoustic modeling (1)

Papers

Mixture-of-Expert Conformer for Streaming Multilingual ASR INTERSPEECH 2023
Production federated keyword spotting via distillation, filtering, and joint federated-centralized training INTERSPEECH 2022
Incremental Layer-Wise Self-Supervised Learning for Efficient Unsupervised Speech Domain Adaptation On Device INTERSPEECH 2022
Extracting Targeted Training Data from ASR Models, and How to Mitigate It INTERSPEECH 2022
Federated Pruning: Improving Neural Network Efficiency with Federated Learning INTERSPEECH 2022
Understanding Unintended Memorization in Language Models Under Federated Learning NAACL 2021
Robust Continuous On-Device Personalization for Automatic Speech Recognition INTERSPEECH 2021
Revealing and Protecting Labels in Distributed Training NIPS 2021
Analyzing the Quality and Stability of a Streaming End-to-End On-Device Speech Recognizer INTERSPEECH 2020
An Investigation into On-Device Personalization of End-to-End Automatic Speech Recognition Models INTERSPEECH 2019
Federated Learning of N-Gram Language Models CONLL 2019
Pronunciation Learning with RNN-Transducers INTERSPEECH 2017
Recurrent Neural Aligner: An Encoder-Decoder Neural Network Model for Sequence to Sequence Mapping INTERSPEECH 2017
Learning Personalized Pronunciations for Contact Name Recognition INTERSPEECH 2016