Using the short-time fourier transform and ResNet to diagnose depression from speech data

• 主要な著者: Elfaki, Ayman, Asnawi, Ani Liza, Jusoh, Ahmad Zamani, Ismail, Ahmad Fadzil, Ibrahim, Siti Noorjannah, Mohamed Azmin, Nor Fadhillah, Nik Hashim, Nik Nur Wahidah
• フォーマット: Conference or Workshop Item
• 言語: English; English
• 出版事項: IEEE 2021
• 主題: T Technology (General); TK Electrical engineering. Electronics Nuclear engineering
• オンライン･アクセス: http://irep.iium.edu.my/97108/1/97108_Using%20the%20short-time%20fourier%20transform_Scopus.pdf; http://irep.iium.edu.my/97108/2/97108_Using%20the%20short-time.pdf; http://irep.iium.edu.my/97108/; https://ieeexplore.ieee.org/document/9673562

Depression is a common illness that is affecting many people nowadays, this is especially true now with the advent of the COVID-19 pandemic. It often arises when a person is having difficulty coping with stressful life events. It can occur throughout the lifespan of a person, and it pervades al...