Autoencoder bottleneck features with multi-task optimisation for improved continuous dysarthric speech recognition

Yue, Z., Christensen, H. and Barker, J. (Accepted: 2020) Autoencoder bottleneck features with multi-task optimisation for improved continuous dysarthric speech recognition. In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2020. INTERSPEECH 2020, 25-29 Oct 2020, Shanghai, China (Online). International Speech Communication Association (ISCA) . (In Press)

Abstract

Metadata

Authors/Creators:
  • Yue, Z.
  • Christensen, H.
  • Barker, J.
Copyright, Publisher and Additional Information: © 2020 ISCA.
Keywords: continuous dysarthric speech recognition; autoencoder bottleneck features; multi-task optimisation
Dates:
  • Accepted: 24 July 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
European Commission - Horizon 2020766287 - TAPAS
Depositing User: Symplectic Sheffield
Date Deposited: 10 Aug 2020 12:43
Last Modified: 10 Aug 2020 12:43
Status: In Press
Publisher: International Speech Communication Association (ISCA)
Refereed: Yes
Related URLs:

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