Towards Detecting Simultaneous Fear Emotion and Deception Behavior in Speech
Safa Chebbi, Sofia Ben Jebara
2020
Abstract
In this paper, we propose an approach to detect simultaneous fear emotion and deception behavior from speech analysis. The proposed methodology is the following. First, two separate classifiers to recognize fear and deception are conceived based on adequate voice features using K-Nearest Neighbors’ algorithm. Then, a decision-level fusion based on the belief theory is applied to infer whether the studied emotion and behavior are detected simultaneously or not as well as their degree of presence. The proposed approach is validated on fear/non-fear emotional and deception/non-deception databases separately. Results for separate classifiers reach an accuracy rate in the range of 95% with 24 features for fear recognition and 75% using 8 features for deception detection.
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in Harvard Style
Chebbi S. and Ben Jebara S. (2020). Towards Detecting Simultaneous Fear Emotion and Deception Behavior in Speech. In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP; ISBN 978-989-758-402-2, SciTePress, pages 712-720. DOI: 10.5220/0008895807120720
in Bibtex Style
@conference{visapp20,
author={Safa Chebbi and Sofia Ben Jebara},
title={Towards Detecting Simultaneous Fear Emotion and Deception Behavior in Speech},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP},
year={2020},
pages={712-720},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008895807120720},
isbn={978-989-758-402-2},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) - Volume 5: VISAPP
TI - Towards Detecting Simultaneous Fear Emotion and Deception Behavior in Speech
SN - 978-989-758-402-2
AU - Chebbi S.
AU - Ben Jebara S.
PY - 2020
SP - 712
EP - 720
DO - 10.5220/0008895807120720
PB - SciTePress