Microphone-independent speech features for automatic depression detection using recurrent neural network

• Main Authors: Nik Hashim, Nik Nur Wahidah, Ahmad Basri, Nadzirah, Ahmad Ezzi, Mogahed Al Ezzi
• Format: Conference or Workshop Item
• Language: English; English
• Published: Springer 2022
• Subjects: BF Psychology; Q Science (General)
• Online Access: http://irep.iium.edu.my/98933/1/98933_Microphone-independent%20speech%20features.pdf; http://irep.iium.edu.my/98933/2/98933_Microphone-independent%20speech%20features_SCOPUS.pdf; http://irep.iium.edu.my/98933/; https://link.springer.com/chapter/10.1007/978-981-16-8515-6_54

Depression is a common mental disorder that has a negative impact on individuals, society, and the economy. Traditional clinical diagnosis methods are subjective and necessitate extensive expert participation. Because it is fast, convenient, and non-invasive, automatic depression detection using spe...