Nur Aishah, Zainal and Asnawi, Ani Liza and Ibrahim, Siti Noorjannah and Mohamed Azmin, Nor Fadhillah and Harum, Norharyati and Mat Zin, Nora (2025) Utilizing MFCCs and TEO-MFCCs to classify stress in females using SSNNA. IIUM Engineering Journal, 26 (1). pp. 324-335. ISSN 1511-788X E-ISSN 2289-7860
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Abstract
All individuals are susceptible to experiencing stress in their everyday lives. Nevertheless, stress has a greater influence on femalesdue to both biological and environmental factors. This study utilizedfemale speeches to detect and classify stress and no stressin women.Using speech, composed of non-invasive and non-intrusive approaches, helps to identify stress better in females.A comparative analysis was conducted between Mel-frequency Cepstral Coefficients (MFCCs) and Teager Energy Operator-MFCCs (TEO-MFCCs) to determine the bestspeech feature for classifying emotions associated with stress and no-stress conditionsfor femalevoices.With the assistance of the Stress Speech Neural Network Architecture (SSNNA), an improved accuracy of 93.9% was achieved.Thisresearchshowed thatMFCCs enhanced higher-frequency components in stressed speech, distinguishing between stress and no-stress classes.This study shows that SSNNA achieved high accuracy with 14 female voices, confirming its ability to function independently of speaker identity
| Item Type: | Article (Journal) |
|---|---|
| Uncontrolled Keywords: | stress detection via speech,stressclassificationfor females,MFCCs,CNN324 |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering |
| Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Engineering Kulliyyah of Medicine Kulliyyah of Medicine > Department of Psychiatry |
| Depositing User: | Siti Noorjannah Ibrahim |
| Date Deposited: | 08 Dec 2025 12:08 |
| Last Modified: | 08 Dec 2025 12:08 |
| Queue Number: | 2025-12-Q441 |
| URI: | http://irep.iium.edu.my/id/eprint/125042 |
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