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Authors: Anwer Slimi 1 ; 2 ; Henri Nicolas 1 and Mounir Zrigui 2

Affiliations: 1 Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800, F-33400 Talence, France ; 2 University of Monastir, RLANTIS Laboratory LR 18ES15, Monastir, Tunisia

Keyword(s): Deep Networks, Speech Emotion Recognition, Time Distributed Layers, Transformers.

Abstract: Due to the success of transformers in recent years, a growing number of researchers are using them in a variety of disciplines. Due to the attention mechanism, this revolutionary architecture was able to overcome some of the limitations associated with classic deep learning models. Nonetheless, despite their profitable structures, transformers have drawbacks. We introduce a novel hybrid architecture for Speech Emotion Recognition (SER) systems in this article that combines the benefits of transformers and other deep learning models.

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Paper citation in several formats:
Slimi, A.; Nicolas, H. and Zrigui, M. (2022). Hybrid Time Distributed CNN-transformer for Speech Emotion Recognition. In Proceedings of the 17th International Conference on Software Technologies - ICSOFT; ISBN 978-989-758-588-3; ISSN 2184-2833, SciTePress, pages 602-611. DOI: 10.5220/0011314900003266

@conference{icsoft22,
author={Anwer Slimi. and Henri Nicolas. and Mounir Zrigui.},
title={Hybrid Time Distributed CNN-transformer for Speech Emotion Recognition},
booktitle={Proceedings of the 17th International Conference on Software Technologies - ICSOFT},
year={2022},
pages={602-611},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011314900003266},
isbn={978-989-758-588-3},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 17th International Conference on Software Technologies - ICSOFT
TI - Hybrid Time Distributed CNN-transformer for Speech Emotion Recognition
SN - 978-989-758-588-3
IS - 2184-2833
AU - Slimi, A.
AU - Nicolas, H.
AU - Zrigui, M.
PY - 2022
SP - 602
EP - 611
DO - 10.5220/0011314900003266
PB - SciTePress

- Science and Technology Publications, Lda.
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