Joint decoding of tandem and hybrid systems for improved keyword spotting on low resource languages

Wang, H., Ragni, A. orcid.org/0000-0003-0634-4456, Gales, M.J.F. et al. (3 more authors) (2015) Joint decoding of tandem and hybrid systems for improved keyword spotting on low resource languages. In: INTERSPEECH 2015 : 16th Annual Conference of the International Speech Communication Association. INTERSPEECH 2015 : 16th Annual Conference of the International Speech Communication Association, 06-10 Sep 2015, Dresden, Germany. International Speech Communication Association (ISCA) , pp. 3660-3664.

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2015 International Speech Communication Association. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: keyword spotting; joint decoding; deep neural network; Tandem; Hybrid
Dates:
  • Published (online): 6 September 2015
  • Published: 6 September 2015
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: 12 Nov 2019 15:18
Last Modified: 12 Nov 2019 15:18
Published Version: https://www.isca-speech.org/archive/interspeech_20...
Status: Published
Publisher: International Speech Communication Association (ISCA)
Refereed: Yes
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