Unsupervised crosslingual adaptation of tokenisers for spoken language recognition

Ng, W., Nicolao, M. and Hain, T. (2017) Unsupervised crosslingual adaptation of tokenisers for spoken language recognition. Computer Speech and Language, 46. pp. 327-342. ISSN 0885-2308

Abstract

Metadata

Authors/Creators:
  • Ng, W.
  • Nicolao, M.
  • Hain, T.
Copyright, Publisher and Additional Information: ©2017 Published by Elsevier Ltd. This is an open access article article under the CC BY license. (http://creativecommons.org/licenses/by/4.0/).
Keywords: Language recognition; unsupervised adaptation; crosslingual adaptation; tokenisation; phonotactic SLR
Dates:
  • Accepted: 10 May 2017
  • Published (online): 19 May 2017
  • Published: November 2017
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
GOOGLENONE
Depositing User: Symplectic Sheffield
Date Deposited: 19 May 2017 14:03
Last Modified: 07 Nov 2018 09:50
Published Version: https://doi.org/10.1016/j.csl.2017.05.002
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.csl.2017.05.002

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