Stress Detection based on TEO and MFCC speech features using Convolutional Neural Networks (CNN)

Author:

Nordin Muhammad Syafiq1,Asnawi Ani Liza1,Zainal Nur Aishah1,Olanrewaju Rashidah Funke1,Jusoh Ahmad Zamani1,Ibrahim Siti Noorjannah1,Azmin Nor Fadhillah Mohamed2

Affiliation:

1. International Islamic University Malaysia,Department of Electrical Engineering, Kuliyyah of Engineering,Kuala Lumpur,Malaysia

2. International Islamic University Malaysia,Kuliyyah of Engineering,Department of Chemical Engineering and Sustainability,Kuala Lumpur,Malaysia

Publisher

IEEE

Cited by 4 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. Effective Gait Abnormality Detection in Parkinson’s Patients for Multi-Sensors Surveillance System;IEEE Access;2024

2. Mood of Song Detection Using Mel Frequency Cepstral Coefficient and Convolutional Neural Network with Tuning Hyperparameter;2023 11th International Conference on Cyber and IT Service Management (CITSM);2023-11-10

3. Cyberbullying Detection Through Acoustic and Linguistic Analysis;2023 International Symposium on Networks, Computers and Communications (ISNCC);2023-10-23

4. MFCCs and TEO-MFCCs for Stress Detection on Women Gender through Deep Learning Analysis;2023 9th International Conference on Computer and Communication Engineering (ICCCE);2023-08-15

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