Speech Emotion Recognition using Supervised Deep Recurrent System for Mental Health Monitoring-Reference-Cited by-同舟云学术

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Speech Emotion Recognition using Supervised Deep Recurrent System for Mental Health Monitoring

Published:2022-10-26 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 8th World Forum on Internet of Things (WF-IoT)
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Author:

Elsayed Nelly¹,ElSayed Zag²,Asadizanjani Navid³,Ozer Murat²,Abdelgawad Ahmed⁴,Bayoumi Magdy⁵

Affiliation:

1. School of Information Technology, University of Cincinnati,OH,United States

2. School of Information Technology, University of Cincinnati,Ohio,United States

3. University of Florida,Dep. of Electrical & Computer Engineering,Florida,United States

4. School of Engineering and Technology, Central Michigan University,Michigan,United States

5. University of Louisiana at Lafayette,Dep. of Electrical & Computer Engineering,Louisiana,Unted States

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10151825/10152024/10152117.pdf?arnumber=10152117

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhanced emotion recognition in an IoMT platform: leveraging data augmentation and the random forest algorithm for ECG-based E-health;International Journal of Information Technology;2024-06-09

2. Evaluation of a Voice-Based Emotion Recognition Software in the Psycho-Oncological Care of Cancer Patients;Lecture Notes in Computer Science;2024

3. After: Active Learning Based Fine-Tuning Framework for Speech Emotion Recognition;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

4. Privacy Preserving Federated Learning Approach for Speech Emotion Recognition;2023 26th International Conference on Computer and Information Technology (ICCIT);2023-12-13

5. A Novel Model for Student's Mental Health Monitoring Based on Hard and Soft Data Fusion;2023 31st International Conference on Electrical Engineering (ICEE);2023-05-09

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