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Depression Level Assessment Based on Speech

Author(s):

Chaudhari Bhavana Jagdish , D.N.PATEL COLLEGE ENGINEERING SHAHADA TAL SHAHADA DIST NANDURBAR; Akash Koli, D.N.PATEL COLLEGE ENGINEERING SHAHADA TAL SHAHADA DIST NANDURBAR; More Chanchal Pandurang, D.N.PATEL COLLEGE ENGINEERING SHAHADA TAL SHAHADA DIST NANDURBAR; Patel Pooja Chhotulal, D.N.PATEL COLLEGE ENGINEERING SHAHADA TAL SHAHADA DIST NANDURBAR; Chaudhari Priyanka Kantilal, D.N.PATEL COLLEGE ENGINEERING SHAHADA TAL SHAHADA DIST NANDURBAR

Keywords:

Depression Calculation, Noise Reduction

Abstract

Depression is a serious mental health disorder that affects mood, thoughts, feelings, and the ability to function in everyday life. Depression is considered as a psychosomatic state associated with the soft biometric features. People who are suffering from depression always behave abnormal. The system accepts speech from the user and outputs the depression level at which he is. I-Vector technique is used to detect the depression level. It starts with removing silence from the speech and then extracts features. The fuzzy logic approach is used to describe the level of depression.

Other Details

Paper ID: IJSRDV6I20731
Published in: Volume : 6, Issue : 2
Publication Date: 01/05/2018
Page(s): 1506-1507

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