Open AccessDepression Detection Through Speech Analysis : A Survey
Author(s) -
Aastik Malviya,
Rahul Meharkure,
Rohan Narsinghani,
Viraj Sheth,
Pratiksha Meshram
Publication year - 2019
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit1952190
Subject(s) - depression (economics) , psychology , computer science , psychiatry , economics , macroeconomics
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.