Development of sorrow analysis dataset for speech depression prediction

• Main Authors: Alghifari, Muhammad Fahreza, Gunawan, Teddy Surya, Kartiwi, Mira
• Format: Proceeding Paper
• Language: English; English
• Published: IEEE 2023
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/109824/7/109824_Development%20of%20sorrow%20analysis%20dataset%20for%20speech%20depression%20prediction.pdf; http://irep.iium.edu.my/109824/8/109824_Development%20of%20sorrow%20analysis%20dataset%20for%20speech%20depression%20prediction_Scopus.pdf; http://irep.iium.edu.my/109824/; https://ieeexplore.ieee.org/document/10176040; https://doi.org/10.1109/I2MTC53148.2023.10176040

Computers can get insight into the user's mental state, including depression prediction, by analyzing speech signals. Numerous uses exist, ranging from customer service to depression-related suicide prevention. In this study, we proposed a novel depression detection method based on deep learnin...