Recurrent neural network language model adaptation for multi-genre broadcast speech recognition and alignment

Deena, S. orcid.org/0000-0001-5417-0556, Hasan, M., Doulaty, M. et al. (2 more authors) (2019) Recurrent neural network language model adaptation for multi-genre broadcast speech recognition and alignment. IEEE/ACM Transactions on Audio, Speech and Language Processing, 27 (3). pp. 572-582. ISSN 2329-9290

Abstract

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Keywords: Speech recognition; RNNLM; language model adaptation; multi-domain ASR
Dates:
  • Accepted: 14 December 2018
  • Published (online): 20 December 2018
  • Published: March 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC)UNSPECIFIED
Depositing User: Symplectic Sheffield
Date Deposited: 04 Jan 2019 14:26
Last Modified: 04 Jan 2019 14:30
Published Version: https://doi.org/10.1109/TASLP.2018.2888814
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: https://doi.org/10.1109/TASLP.2018.2888814
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