Combining tandem and hybrid systems for improved speech recognition and keyword spotting on low resource languages

Rath, S.P., Knill, K.M., Ragni, A. orcid.org/0000-0003-0634-4456 et al. (1 more author) (2014) Combining tandem and hybrid systems for improved speech recognition and keyword spotting on low resource languages. In: INTERSPEECH 2014 : 15th Annual Conference of the International Speech Communication Association. INTERSPEECH 2014 : 15th Annual Conference of the International Speech Communication Association, 14-18 Sep 2014, Singapore. International Speech Communication Association (ISCA) , pp. 835-839.

Abstract

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Copyright, Publisher and Additional Information: © 2014 International Speech Communication Association (ISCA). Reproduced in accordance with the publisher's self-archiving policy.
Keywords: keyword spotting; deep neural network; Tandem; Hybrid
Dates:
  • Published (online): 14 September 2014
  • Published: 14 September 2014
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: 13 Nov 2019 10:46
Last Modified: 13 Nov 2019 10:46
Published Version: https://www.isca-speech.org/archive/interspeech_20...
Status: Published
Publisher: International Speech Communication Association (ISCA)
Refereed: Yes
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