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In this work we explored building automatic speech recognition models for transcribing doctor patient conversation.
R. Lippmann, E. Martin, and D. Paul, “Multi-style training for robust isolated-word speech recognition,” in
1987
Earlier work this paper cites.
S. J. Young, J. J. Odell, and P. C. Woodland, “Tree-based state tying for high accuracy acoustic modelling,” 1994
1994
Earlier work this paper cites.
A. Graves, S. Fernández, and F. Gomez, “Connectionist temporal classification: Labelling unsegmented sequence data with recurrent neural networks,” in
2006
Earlier work this paper cites.
F. Liu, G. Tur, D. Hakkani-Tür, and H. Yu, “Towards spoken clinical-question answering: evaluating and adapting automatic speech-recognition systems for spoken clinical questions,”
2010
Earlier work this paper cites.
C. Allauzen and M. Riley, “Bayesian language model interpolation for mobile speech input,” in
2011
Earlier work this paper cites.
H. Liao, E. McDermott, and A. Senior, “Large scale deep neural network acoustic modeling with semi-supervised training data for youtube video transcription,” in
2013
Cited alongside, same era.
T. D. Shanafelt, O. Hasan, L. N. Dyrbye, C. Sinsky, D. Satele, J. Sloan, and C. P. West, “Changes in burnout and satisfaction with work-life balance in physicians and the general us working population between 2011 and 2014,”
2015
Cited alongside, same era.
W. Chan, N. Jaitly, Q. V. Le, and O. Vinyals, “Listen, attend and spell,”
2015
Cited alongside, same era.
2015
Cited alongside, same era.
E. Edwards, W. Salloum, G. P. Finley, J. Fone, G. Cardiff, M. Miller, and D. Suendermann-Oeft,
2017
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W. Salloum, E. Edwards, S. Ghaffarzadegan, D. Suendermann-Oeft, and M. Miller, “Crowdsourced continuous improvement of medical speech recognition,” in
2017
Closest in time.
T. Hodgson, F. Magrabi, and E. Coiera, “Efficiency and safety of speech recognition for documentation in the electronic health record,”
2017
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M. Shannon, “Optimizing expected word error rate via sampling for speech recognition,”
2017
Closest in time.
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser, and I. Polosukhin, “Attention is all you need,” in
2017
Closest in time.
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T. Dall, R. Chakrabarti, W. Iacobucci, A. Hansari, and T. West, “The complexities of physician supply and demand: Projections from 2015 to 2030,” IHS Markit on behalf of the Association of American Medical Colleges, Tech. Rep., 2017
2017
Cited alongside, same era.