Voice signal analysis techniques for cognitive decline (stress) assessment
Journal
Journal of Physics: Conference Series
Date Issued
2020
Author(s)
Abstract
Speech signals may provide important information for measuring and modelling
human behaviour, especially for assessing mental health as well as estimating the emotional state
of a person. Speaker’s physiological and/or physical state may be thus identified by detecting
the cognitive decline (CD) or stress levels using signal analysis of voice. This preliminary study
presents a survey on methods introduced for CD and stress voice detection in humans. It is shown
that increase in signal’s fundamental frequency (f0) as well as its frequency formants, are the
most common effects of CD and stress. Additional voice parameters could be used to identify
normal from CD and normal from stressed voice as well as the cognitive state of the elderly. The
present study poses the initiation of a project for the development of a mobile application for the
automated voice detection and analysis on the fly, which will aid in the detection of early signs
of CD and stress. Further investigation with application on a large number of voice samples is
required for validating the methods.
human behaviour, especially for assessing mental health as well as estimating the emotional state
of a person. Speaker’s physiological and/or physical state may be thus identified by detecting
the cognitive decline (CD) or stress levels using signal analysis of voice. This preliminary study
presents a survey on methods introduced for CD and stress voice detection in humans. It is shown
that increase in signal’s fundamental frequency (f0) as well as its frequency formants, are the
most common effects of CD and stress. Additional voice parameters could be used to identify
normal from CD and normal from stressed voice as well as the cognitive state of the elderly. The
present study poses the initiation of a project for the development of a mobile application for the
automated voice detection and analysis on the fly, which will aid in the detection of early signs
of CD and stress. Further investigation with application on a large number of voice samples is
required for validating the methods.
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