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

• 主要な著者: Nordin, Muhammad Syafiq, Asnawi, Ani Liza, Zainal, Nur Aishah, Olanrewaju, Rashidah Funke, Jusoh, Ahmad Zamani, Ibrahim, Siti Noorjannah, Mohamed Azmin, Nor Fadhillah
• フォーマット: Conference or Workshop Item
• 言語: English
• 出版事項: 2022
• 主題: T Technology (General)
• オンライン･アクセス: http://irep.iium.edu.my/102404/1/Stress%20Detection%20Based%20on%20Teo%20and%20MFCC%20Speech%20Features%20Using%20Convolutional%20Neural%20Networks%20%28CNN%29.pdf; http://irep.iium.edu.my/102404/

The effect of stress on mental and physical health is very concerning making it a fascinating and socially valuable field of study nowadays. Although a number of stress markers have been deployed, there are still issues involved with using these kinds of approaches. By developing a speech-based...