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Stress Classification based on Speech Analysis of MFCC Feature via Machine Learning

The current stress markers are mostly invasive, in which they require samples from the patients’ bodies, thus this research was conducted to find a non-invasive method to detect stress. This research emphasizes how stress detection can bedone by using speech signal analysis techniques. Features from...

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Bibliographic Details
Main Authors: Hilmy, Muhammad Syazani Hafiy, Asnawi, Ani Liza, Jusoh, Ahmad Zamani, Abdullah, Khaizuran, Ibrahim, Siti Noorjannah, Mohd Ramli, Huda Adibah, Mohamed Azmin, Nor Fadhillah
Format: Conference or Workshop Item
Language:English
English
Published: IEEE 2021
Subjects:
T Technology (General)
T10.5 Communication of technical information
Online Access:http://irep.iium.edu.my/91250/1/91250_Stress%20Classification%20based%20on%20Speech%20Analysis.pdf
http://irep.iium.edu.my/91250/7/91250_Stress%20Classification%20based%20on%20Speech%20Analysis%20of%20MFCC%20Feature.pdf
http://irep.iium.edu.my/91250/
https://ieeexplore-ieee-org.ezlib.iium.edu.my/document/9467176
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Internet

http://irep.iium.edu.my/91250/1/91250_Stress%20Classification%20based%20on%20Speech%20Analysis.pdf
http://irep.iium.edu.my/91250/7/91250_Stress%20Classification%20based%20on%20Speech%20Analysis%20of%20MFCC%20Feature.pdf
http://irep.iium.edu.my/91250/
https://ieeexplore-ieee-org.ezlib.iium.edu.my/document/9467176

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