System-independent ASR error detection and classification using Recurrent Neural Network

Errattahia, R., Hannani, A.E.L., Hain, T. orcid.org/0000-0003-0939-3464 et al. (1 more author) (2019) System-independent ASR error detection and classification using Recurrent Neural Network. Computer Speech and Language, 55. pp. 187-199. ISSN 0885-2308

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2018 Elsevier. This is an author produced version of a paper subsequently published in Computer Speech and Language. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Automatic Speech Recognition; ASR error detection; ASR error type classification; Recurrent Neural Network
Dates:
  • Accepted: 11 December 2018
  • Published (online): 14 December 2018
  • Published: May 2019
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: 28 Feb 2019 16:23
Last Modified: 28 Feb 2019 16:23
Published Version: https://doi.org/10.1016/j.csl.2018.12.007
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.csl.2018.12.007
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Embargoed until: 14 December 2019

Filename: errattahi2019.pdf

Licence: CC-BY-NC-ND 4.0

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