Abstract
Depression is a common and serious medical illness which affects the way how we think, feel and act. Although harmless in its initial stages, it can cause serious problems if detected at a later stage. Due to advancements in technology, it is now possible to detect signs of depression. Different implementation of machine learning algorithms has been worked upon to detect factors causing depression. It is found that speech of a person is dramatically affected and various vocal features are used to classify depression.
Cite
CITATION STYLE
Malviya, A., Meharkure, R., Narsinghani, R., Sheth, V., & Meshram, P. (2019). Depression Detection Through Speech Analysis : A Survey. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 712–716. https://doi.org/10.32628/cseit1952190
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.