Recognising emotions in dysarthric speech using typical speech data

Alhinti, L., Cunningham, S. orcid.org/0000-0001-9418-8726 and Christensen, H. orcid.org/0000-0003-3028-5062 (2020) Recognising emotions in dysarthric speech using typical speech data. In: Meng, H., Xu, B. and Zheng, T., (eds.) Interspeech 2020. Interspeech 2020, 25-29 Oct 2020, Shanghai, China. ISCA - International Speech Communication Association , pp. 4821-4825.

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 ISCA. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: Dysarthria; emotion recognition; communication aids
Dates:
  • Published (online): 29 October 2020
  • Published: 29 October 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > Sheffield Centre for Health and Related Research
Depositing User: Symplectic Sheffield
Date Deposited: 14 Jan 2021 09:43
Last Modified: 14 Jan 2021 09:43
Published Version: https://www.isca-speech.org/archive/Interspeech_20...
Status: Published
Publisher: ISCA - International Speech Communication Association
Refereed: Yes
Identification Number: https://doi.org/10.21437/interspeech.2020-1825

Share / Export

Statistics