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Authors: Sheir Afgen Zaheer 1 and Jong-Hwan Kim 2

Affiliations: 1 KAIST and Innovative Play Lab, Korea, Republic of ; 2 KAIST, Korea, Republic of

ISBN: 978-989-758-274-5

Keyword(s): Emotion Recognition, Fuzzy Adaptive Resonance Theory, Default ARTMAP.

Abstract: This paper proposes a scheme for facial emotion recognition in the presence of speech, i.e. the interacting subjects are also speaking. We propose the usage of default ARTMAP, a variant of fuzzy ARTMAP, as a classifier for facial emotions using feature vectors derived from facial animation parameters (FAP). The proposed scheme is tested on Interactive Emotional Dyadic Motion Capture (IEMOCAP) database. The results show the effectiveness of the approach as a standalone facial emotion classifier as well as its relatively superior performance on IEMOCAP in comparison to the existing similar approaches.

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Paper citation in several formats:
Zaheer, S. and Kim, J. (2017). Facial Emotion Recognition in Presence of Speech using a Default ARTMAP Classifier.In Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 1: SCT, ISBN 978-989-758-274-5, pages 436-442. DOI: 10.5220/0006572204360442

@conference{sct17,
author={Sheir Afgen Zaheer. and Jong{-}Hwan Kim.},
title={Facial Emotion Recognition in Presence of Speech using a Default ARTMAP Classifier},
booktitle={Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 1: SCT,},
year={2017},
pages={436-442},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006572204360442},
isbn={978-989-758-274-5},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 1: SCT,
TI - Facial Emotion Recognition in Presence of Speech using a Default ARTMAP Classifier
SN - 978-989-758-274-5
AU - Zaheer, S.
AU - Kim, J.
PY - 2017
SP - 436
EP - 442
DO - 10.5220/0006572204360442

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