Deep Neural Network for visual Emotion Recognition based on ResNet50 using Song-Speech characteristics-Reference-Cited by-同舟云学术

Deep Neural Network for visual Emotion Recognition based on ResNet50 using Song-Speech characteristics

Published:2022-03-22 Issue: Volume: Page:
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Container-title:2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)
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Author:

Ayadi Souha¹,Lachiri Zied¹

Affiliation:

1. University of Tunis el Manar,National School of Engineers of Tunis (ENIT),Dept. Electrical Engineering Signal Image and Information Technology Laboratory (SITI),Tunis,Tunisia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9765836/9765827/09765898.pdf?arnumber=9765898

Reference27 articles.

1. A multi-component CNN-RNN approach for dimensional emotion recognition in-the-wild;kollias;CoRR,2018

2. Flexion: A Quantitative Metric for Flexibility in DNN Accelerators

3. Electroencephalography Based Fusion Two-Dimensional (2D)-Convolution Neural Networks (CNN) Model for Emotion Recognition System

4. Improving Object Detection Quality by Incorporating Global Contexts via Self-Attention

5. Facial expression recognition via ResNet-50

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