Robust Speech Emotion Recognition Using CNN+LSTM Based on Stochastic Fractal Search Optimization Algorithm-Reference-Cited by-同舟云学术

Robust Speech Emotion Recognition Using CNN+LSTM Based on Stochastic Fractal Search Optimization Algorithm

Published:2022 Issue: Volume:10 Page:49265-49284
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Abdelhamid Abdelaziz A.¹^ORCID,El-Kenawy El-Sayed M.²^ORCID,Alotaibi Bandar³^ORCID,Amer Ghada M.⁴,Abdelkader Mahmoud Y.¹,Ibrahim Abdelhameed⁵^ORCID,Eid Marwa Metwally⁶^ORCID

Affiliation:

1. Department of Computer Science, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt

2. Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology (DHIET), Mansoura, Egypt

3. Department of Information Technology, Faculty of Computers and Information Technology, University of Tabuk, Tabuk, Saudi Arabia

4. Department of Electrical Engineering, Faculty of Engineering, Benha University, Benha, Egypt

5. Department of Computer Engineering and Control Systems, Faculty of Engineering, Mansoura University, Mansoura, Egypt

6. Faculty of Artificial Intelligence, Delta University for Science and Technology, Mansoura, Egypt

Funder

Sensor Networks and Cellular Systems (SNCS) Research Center

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09770097.pdf?arnumber=9770097

Reference65 articles.

1. Multimodal Approach of Speech Emotion Recognition Using Multi-Level Multi-Head Fusion Attention-Based Recurrent Neural Network

2. Continuous Speech Emotion Recognition with Convolutional Neural Networks

3. Exploration of Complementary Features for Speech Emotion Recognition Based on Kernel Extreme Learning Machine

4. Analysis of Deep Learning Architectures for Cross-Corpus Speech Emotion Recognition

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