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 …

In this paper, an overview of human–robot interactive communication is presented, covering
verbal as well as non-verbal aspects. Following a historical introduction, and motivation …

We present ASCERTAIN-a multimodal databaASe for impliCit pERsonaliTy and Affect
recognitIoN using commercial physiological sensors. To our knowledge, ASCERTAIN is the …

Obtaining large, human labelled speech datasets to train models for emotion recognition is a
notoriously challenging task, hindered by annotation cost and label ambiguity. In this work …

Emotion recognition from speech has emerged as an important research area in the recent
past. In this regard, review of existing work on emotional speech processing is useful for …

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

SEMAINE has created a large audiovisual database as a part of an iterative approach to
building Sensitive Artificial Listener (SAL) agents that can engage a person in a sustained …

Affective computing is an emerging multidisciplinary research field that is increasingly
drawing the attention of researchers and practitioners in various fields, including artificial …

In this paper we overview emotional speech recognition having in mind three goals. The first
goal is to provide an up-to-date record of the available emotional speech data collections …

Direct numerical simulation of the incompressible Navier–Stokes equations is used to study
flows where laminar boundary-layer separation is followed by turbulent reattachment …