Exploring appropriate acoustic and language modelling choices for continuous dysarthric speech recognition

Yue, Z., Xiong, F., Christensen, H. et al. (1 more author) (2020) Exploring appropriate acoustic and language modelling choices for continuous dysarthric speech recognition. In: Proceedings of the 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020). ICASSP 2020 - 45th International Conference on Acoustics, Speech, and Signal Processing, 04-08 May 2020, Barcelona, Spain. IEEE , pp. 6094-6098. ISBN 9781509066322

Abstract

Metadata

Authors/Creators:
  • Yue, Z.
  • Xiong, F.
  • Christensen, H.
  • Barker, J.
Copyright, Publisher and Additional Information: © 2020 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: Continuous dysarthric speech recognition; language modelling; out-of-domain data
Dates:
  • Accepted: 25 January 2020
  • Published (online): 14 May 2020
  • Published: 14 May 2020
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: 14 Feb 2020 14:33
Last Modified: 24 Aug 2020 15:06
Status: Published
Publisher: IEEE
Refereed: Yes
Identification Number: https://doi.org/10.1109/ICASSP40776.2020.9054343
Related URLs:

Download

Accepted Version


Embargoed until: 14 May 2021

Filename: icassp_Zhengjun_ (6).pdf

Request a copy

Share / Export

Statistics