Speech is an effective medium to express emotions and attitude through language. Finding
the emotional content from a speech signal and identify the emotions from the speech …

Automated analysis of human affective behavior has attracted increasing attention from
researchers in psychology, computer science, linguistics, neuroscience, and related …

The importance of automatically recognizing emotions from human speech has grown with
the increasing role of spoken language interfaces in human-computer interaction …

Recent years have seen a significant expansion in research on computational models of
human emotional processes, driven both by their potential for basic research on emotion …

The objective of this paper is to present the state of-the-art relating to automatic speech and
voice analysis techniques as applied to the monitoring of patients suffering from Alzheimer's …

Emotion primitive descriptions are an important alternative to classical emotion categories
for describing a human's affective expressions. We build a multi-dimensional emotion space …

The work presented here is part of a larger study to identify novel technologies and
biomarkers for early Alzheimer disease (AD) detection and it focuses on evaluating the …

Emotional expression and understanding are normal instincts of human beings, but
automatical emotion recognition from speech without referring any language or linguistic …

Alzheimer's disease (AD) is the most prevalent form of progressive degenerative dementia; it
has a high socioeconomic impact in Western countries. Therefore, it is one of the most active …

Humans are emotional beings, and emotions are one of the main drivers of human thoughts
and actions. Therefore, for all environments designed for humans, it is essential that emotion …