Integration of MFCCS and CNN for multi-class stress speech classification on unscripted dataset

• Main Authors: Zainal, Nur Aishah, Asnawi, Ani Liza, Jusoh, Ahmad Zamani, Ibrahim, Siti Noorjannah, Mohd. Ramli, Huda Adibah
• Format: Article
• Language: English
• Published: IIUM Press 2024
• Subjects: TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices; TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/114502/7/114502_Integration%20of%20MFCCS%20and%20CNN.pdf; http://irep.iium.edu.my/114502/; https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/3207/1007
• Institution: Universiti Islam Antarabangsa Malaysia

Stress is an interaction between individuals and their environment, where perceived threats can lead to serious consequences if prolonged and consistently linked to adverse physical and mental health outcomes. Our study explores methods for stress classification via speech, utilizing an unscripted d...