Françoise Beaufays

According to our database1, Françoise Beaufays authored at least 84 papers between 1993 and 2024.

Collaborative distances:
  • Dijkstra number2 of three.
  • Erdős number3 of two.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Extending Multilingual Speech Synthesis to 100+ Languages without Transcribed Data.
CoRR, 2024

2023
Improving Speech Recognition for African American English With Audio Classification.
CoRR, 2023

Mixture-of-Expert Conformer for Streaming Multilingual ASR.
CoRR, 2023

Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages.
CoRR, 2023

Online Model Compression for Federated Learning with Large Models.
Proceedings of the IEEE International Conference on Acoustics, 2023

Efficient Domain Adaptation for Speech Foundation Models.
Proceedings of the IEEE International Conference on Acoustics, 2023

Lego-Features: Exporting Modular Encoder Features for Streaming and Deliberation ASR.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition.
IEEE J. Sel. Top. Signal Process., 2022

Handling Compounding in Mobile Keyboard Input.
CoRR, 2022

Federated Pruning: Improving Neural Network Efficiency with Federated Learning.
Proceedings of the Interspeech 2022, 2022

Incremental Layer-Wise Self-Supervised Learning for Efficient Unsupervised Speech Domain Adaptation On Device.
Proceedings of the Interspeech 2022, 2022

Production federated keyword spotting via distillation, filtering, and joint federated-centralized training.
Proceedings of the Interspeech 2022, 2022

Extracting Targeted Training Data from ASR Models, and How to Mitigate It.
Proceedings of the Interspeech 2022, 2022

Exploring Heterogeneous Characteristics of Layers in ASR Models for More Efficient Training.
Proceedings of the IEEE International Conference on Acoustics, 2022

Partial Variable Training for Efficient on-Device Federated Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2022

Large-Scale ASR Domain Adaptation Using Self- and Semi-Supervised Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Enabling On-Device Training of Speech Recognition Models With Federated Dropout.
Proceedings of the IEEE International Conference on Acoustics, 2022

A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter IT.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Incremental Layer-wise Self-Supervised Learning for Efficient Speech Domain Adaptation On Device.
CoRR, 2021

On-Device Personalization of Automatic Speech Recognition Models for Disordered Speech.
CoRR, 2021

Revealing and Protecting Labels in Distributed Training.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robust Continuous On-Device Personalization for Automatic Speech Recognition.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Training Speech Recognition Models with Federated Learning: A Quality/Cost Framework.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Training Production Language Models without Memorizing User Data.
CoRR, 2020

Understanding Unintended Memorization in Federated Learning.
CoRR, 2020

Analyzing the Quality and Stability of a Streaming End-to-End On-Device Speech Recognizer.
Proceedings of the Interspeech 2020, 2020

Low-Rank Gradient Approximation for Memory-Efficient on-Device Training of Deep Neural Network.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Writing Across the World's Languages: Deep Internationalization for Gboard, the Google Keyboard.
CoRR, 2019

Federated Evaluation of On-device Personalization.
CoRR, 2019

Federated Learning for Emoji Prediction in a Mobile Keyboard.
CoRR, 2019

Federated Learning Of Out-Of-Vocabulary Words.
CoRR, 2019

An Investigation into On-Device Personalization of End-to-End Automatic Speech Recognition Models.
Proceedings of the Interspeech 2019, 2019

Federated Learning of N-Gram Language Models.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Personalization of End-to-End Speech Recognition on Mobile Devices for Named Entities.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2018
Applied Federated Learning: Improving Google Keyboard Query Suggestions.
CoRR, 2018

Federated Learning for Mobile Keyboard Prediction.
CoRR, 2018

2017
Abstract Intelligence: Embodying and Enabling Cognitive Systems by Mathematical Engineering.
Int. J. Cogn. Informatics Nat. Intell., 2017

Mobile Keyboard Input Decoding with Finite-State Transducers.
CoRR, 2017

Recurrent Neural Aligner: An Encoder-Decoder Neural Network Model for Sequence to Sequence Mapping.
Proceedings of the Interspeech 2017, 2017

Pronunciation Learning with RNN-Transducers.
Proceedings of the Interspeech 2017, 2017

Transliterated Mobile Keyboard Input via Weighted Finite-State Transducers.
Proceedings of the 13th International Conference on Finite State Methods and Natural Language Processing, 2017

Speech Research at Google to Enable Universal Speech Interfaces.
Proceedings of the New Era for Robust Speech Recognition, Exploiting Deep Learning., 2017

2016
Learning Personalized Pronunciations for Contact Name Recognition.
Proceedings of the Interspeech 2016, 2016

Personalized speech recognition on mobile devices.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Learnings and innovations in speech recognition.
Proceedings of the 15th IEEE International Conference on Cognitive Informatics & Cognitive Computing , 2016

2015
A Real-Time End-to-End Multilingual Speech Recognition Architecture.
IEEE J. Sel. Top. Signal Process., 2015

Fast and accurate recurrent neural network acoustic models for speech recognition.
Proceedings of the INTERSPEECH 2015, 2015

Large vocabulary automatic speech recognition for children.
Proceedings of the INTERSPEECH 2015, 2015

Composition-based on-the-fly rescoring for salient n-gram biasing.
Proceedings of the INTERSPEECH 2015, 2015

Garbage modeling for on-device speech recognition.
Proceedings of the INTERSPEECH 2015, 2015

Learning acoustic frame labeling for speech recognition with recurrent neural networks.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Grapheme-to-phoneme conversion using Long Short-Term Memory recurrent neural networks.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Automatic pronunciation verification for speech recognition.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Fix it where it fails: Pronunciation learning by mining error corrections from speech logs.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Long short term memory neural network for keyboard gesture decoding.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition.
CoRR, 2014

Long short-term memory recurrent neural network architectures for large scale acoustic modeling.
Proceedings of the INTERSPEECH 2014, 2014

Pronunciation learning for named-entities through crowd-sourcing.
Proceedings of the INTERSPEECH 2014, 2014

2013
Written-domain language modeling for automatic speech recognition.
Proceedings of the INTERSPEECH 2013, 2013

Language model verbalization for automatic speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2013

Language model capitalization.
Proceedings of the IEEE International Conference on Acoustics, 2013

Mixture of mixture n-gram language models.
Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

Search results based N-best hypothesis rescoring with maximum entropy classification.
Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2012
Recognition of multilingual speech in mobile applications.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Recognizing English queries in Mandarin Voice Search.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Unsupervised discovery and training of maximally dissimilar cluster models.
Proceedings of the INTERSPEECH 2010, 2010

2009
Revisiting graphemes with increasing amounts of data.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Deploying GOOG-411: Early lessons in data, measurement, and testing.
Proceedings of the IEEE International Conference on Acoustics, 2008

2003
Learning linguistically valid pronunciations from acoustic data.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Learning Name Pronunciations in Automatic Speech Recognition Systems.
Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003

Using speech/non-speech detection to bias recognition search on noisy data.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Porting channel robustness across languages.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

1999
Robust text-independent speaker identification over telephone channels.
IEEE Trans. Speech Audio Process., 1999

Discriminative mixture weight estimation for large Gaussian mixture models.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1997
Diagrammatic Methods for Deriving and Relating Temporal Neural Network Algorithms.
Proceedings of the Adaptive Processing of Sequences and Data Structures, 1997

Neural-network based measures of confidence for word recognition.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Model transformation for robust speaker recognition from telephone data.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
Diagrammatic Derivation of Gradient Algorithms for Neural Networks.
Neural Comput., 1996

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

Training data clustering for improved speech recognition.
Proceedings of the Fourth European Conference on Speech Communication and Technology, 1995

1994
Application of neural networks to load-frequency control in power systems.
Neural Networks, 1994

Relating Real-Time Backpropagation and Backpropagation-Through-Time: An Application of Flow Graph Interreciprocity.
Neural Comput., 1994

1993
Learning algorithms for adaptive processing and control.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993


  Loading...