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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| Main Authors: | , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2021
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| Subjects: | |
| 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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