In this paper, a psychologically-inspired binary cascade classification schema is proposed
for speech emotion recognition. Performance is enhanced because commonly confused …

Bipolar disorders are characterized by an unpredictable behavior, resulting in depressive,
hypomanic or manic episodes alternating with euthymic states. A multi-parametric approach …

Bipolar disorder is one of the most common mood disorders characterized by large and
invalidating mood swings. Several projects focus on the development of decision support …

Bipolar disorders are characterized by a mood swing, ranging from mania to depression. A
system that could monitor and eventually predict these changes would be useful to improve …

Mental diseases are increasingly common. Among these, bipolar disorders heavily affect
patients' lives given the mood swings ranging from mania to depression. Voice has been …

People suffering from bipolar disease are more and more common. Such pathology can
severely affect patients' lifestyle by wide, and sometimes extreme, mood swings. Biosignals …

Speech analysis has been proposed for the characterization of subjects' mood state.
Specifically, prosodie features have been found to carry information about subjects' …

In this thesis, voice signal is investigated with the aim of characterizing subjects' emotional
state and patients' mood state. Speech signal is a nonstationary signal that is generated by a …

Psychiatric patients affected by bipolar disorder experience a mood swing, often ranging
from mania to depression. Investigating biomedical signals to detect physiological correlates …