Françoise Beaufays
4 papers in the PaperMetrix corpus
Papers by this author
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Automatic pronunciation verification for speech recognition
2015
Pronunciations for words are a critical component in an automated speech recognition system (ASR) as mis-recognitions may be caused by missing or inaccurate pronunciations. The need for high quality pronunciations has recently motivated data-driven techniques …
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Training Production Language Models without Memorizing User Data
2020 · arXiv (Cornell University)
This paper presents the first consumer-scale next-word prediction (NWP) model trained with Federated Learning (FL) while leveraging the Differentially Private Federated Averaging (DP-FedAvg) technique. There has been prior work on building practical FL infrastructure, including …
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Federated Pruning: Improving Neural Network Efficiency with Federated Learning
2022 · arXiv (Cornell University)
Automatic Speech Recognition models require large amount of speech data for training, and the collection of such data often leads to privacy concerns. Federated learning has been widely used and is considered to be an …
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Grapheme-to-phoneme conversion using Long Short-Term Memory recurrent neural networks
2015
Grapheme-to-phoneme (G2P) models are key components in speech recognition and text-to-speech systems as they describe how words are pronounced. We propose a G2P model based on a Long Short-Term Memory (LSTM) recurrent neural network (RNN). …