Analysing acoustic model changes for active learning in automatic speech recognition

Wu, C., Ng, R.W.M., Torralba, O.S. et al. (1 more author) (2017) Analysing acoustic model changes for active learning in automatic speech recognition. In: International Conference on Systems, Signals and Image Processing (IWSSIP). International Conference on Systems, Signals and Image Processing (IWSSIP), 22-24 May, 2017, Poznań, Poland. IEEE . ISBN 978-1-5090-6344-4

Abstract

Metadata

Authors/Creators:
  • Wu, C.
  • Ng, R.W.M.
  • Torralba, O.S.
  • Hain, T.
Copyright, Publisher and Additional Information: © 2017 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: Active learning; data selection; confidence measures; speaker adaptation
Dates:
  • Published: 3 July 2017
  • Published (online): 3 July 2017
  • Accepted: 28 March 2017
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: 10 Jul 2017 09:48
Last Modified: 25 Aug 2017 14:31
Published Version: https://doi.org/10.1109/IWSSIP.2017.7965609
Status: Published
Publisher: IEEE
Refereed: Yes
Identification Number: https://doi.org/10.1109/IWSSIP.2017.7965609

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