Removing Bias with Residual Mixture of Multi-View Attention for Speech Emotion Recognition

Jalal, M.A., Milner, R., Hain, T. orcid.org/0000-0003-0939-3464 et al. (1 more author) (2020) Removing Bias with Residual Mixture of Multi-View Attention for Speech Emotion Recognition. In: Interspeech 2020. Interspeech 2020, 25-29 Oct 2020, Shanghai, China. ISCA - International Speech Communication Association , pp. 4084-4088.

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 ISCA. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: speech emotion recognition; attention networks; computational paralinguistics
Dates:
  • Published (online): 25 October 2020
  • Published: 25 October 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: 02 Mar 2021 13:40
Last Modified: 03 Mar 2021 09:36
Status: Published
Publisher: ISCA - International Speech Communication Association
Refereed: Yes
Identification Number: https://doi.org/10.21437/interspeech.2020-3005

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