Exploiting future word contexts in neural network language models for speech recognition

Chen, X., Liu, X., Wang, Y. et al. (3 more authors) (2019) Exploiting future word contexts in neural network language models for speech recognition. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 27 (9). pp. 1444-1454. ISSN 2329-9290

Abstract

Metadata

Authors/Creators:
  • Chen, X.
  • Liu, X.
  • Wang, Y.
  • Ragni, A.
  • Wong, J.H.M.
  • 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: Recurrent neural network; language model; succeeding words; speech recognition; keyword search
Dates:
  • Accepted: 27 May 2019
  • Published (online): 11 June 2019
  • Published: September 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: 05 Sep 2019 13:50
Last Modified: 11 Jun 2020 00:38
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Refereed: Yes
Identification Number: https://doi.org/10.1109/taslp.2019.2922048
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