Automated Destructive Behavior State Detection on the 1D CNN-Based Voice Analysis

Author:

Iskhakova AnastasiaORCID,Wolf DaniyarORCID,Meshcheryakov RomanORCID

Publisher

Springer International Publishing

Reference22 articles.

1. Iskhakova, A., Iskhakov, A., Meshcheryakov, R.: Research of the estimated emotional components for the content analysis. In: Journal of Physics: Conference Series, vol. 1203, pp. 012065 (2019)

2. Kulagina, I., Iskhakova, A., Galin, R.: Modeling the practice of aggression in the socio-cyber-physical environment. Vestnik tomskogo gosudarstvennogo universiteta-Filosofiya-Sotsiologiya-Politologiya-Tomsk state Univ. J. Phil. Sociol. Polit. Sci. 52, 147–161 (2019). (in Russian)

3. Smart Innovation, Systems and Technologies;D Levonevskii,2020

4. Malov, D., Shumskaya, O.: Audiovisual content feature selection for emotion recognition system. In: International Conference Cyber-Physical Systems and Control CPS&C (2019)

5. Zheng, W.-L., Zhu, J.-Y., Yong, P., Lu, B.-L.: EEG-based emotion classification using deep belief networks. In: IEEE International Conference on Multimedia & Expo IEEE, pp. 1–6. Chengdu, China (2014)

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