Bi-directional lattice recurrent neural networks for confidence estimation

Li, Q., Ness, P.M., Ragni, A. et al. (1 more author) (2019) Bi-directional lattice recurrent neural networks for confidence estimation. In: ICASSP 2019. ICASSP 2019, 12-17 May 2019, Brighton, UK. IEEE , pp. 6755-6759. ISBN 9781479981311

Abstract

Metadata

Authors/Creators:
  • Li, Q.
  • Ness, P.M.
  • Ragni, A.
  • Gales, M.J.F.
Copyright, Publisher and Additional Information: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: confidence estimation; bi-directional recurrent neural network; confusion network; lattice
Dates:
  • Published (online): 17 April 2019
  • Published: 17 April 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 06 Sep 2019 11:45
Last Modified: 17 Apr 2020 00:39
Status: Published
Publisher: IEEE
Refereed: Yes
Identification Number: https://doi.org/10.1109/ICASSP.2019.8683488

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