Search Results for author: William Gale

Found 5 papers, 0 papers with code

LSTM-LM with Long-Term History for First-Pass Decoding in Conversational Speech Recognition

no code implementations21 Oct 2020 Xie Chen, Sarangarajan Parthasarathy, William Gale, Shuangyu Chang, Michael Zeng

The context information is captured by the hidden states of LSTM-LMs across utterance and can be used to guide the first-pass search effectively.

speech-recognition Speech Recognition

Long-span language modeling for speech recognition

no code implementations11 Nov 2019 Sarangarajan Parthasarathy, William Gale, Xie Chen, George Polovets, Shuangyu Chang

We conduct language modeling and speech recognition experiments on the publicly available LibriSpeech corpus.

Language Modelling Re-Ranking +3

Deep Learning Predicts Hip Fracture using Confounding Patient and Healthcare Variables

no code implementations8 Nov 2018 Marcus A. Badgeley, John R. Zech, Luke Oakden-Rayner, Benjamin S. Glicksberg, Manway Liu, William Gale, Michael V. McConnell, Beth Percha, Thomas M. Snyder, Joel T. Dudley

In this study, we trained deep learning models on 17, 587 radiographs to classify fracture, five patient traits, and 14 hospital process variables.

Producing radiologist-quality reports for interpretable artificial intelligence

no code implementations1 Jun 2018 William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Andrew P. Bradley, Lyle J. Palmer

Current approaches to explaining the decisions of deep learning systems for medical tasks have focused on visualising the elements that have contributed to each decision.

Decision Making Descriptive

Detecting hip fractures with radiologist-level performance using deep neural networks

no code implementations17 Nov 2017 William Gale, Luke Oakden-Rayner, Gustavo Carneiro, Andrew P. Bradley, Lyle J. Palmer

We developed an automated deep learning system to detect hip fractures from frontal pelvic x-rays, an important and common radiological task.

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