Context: Burnout is a work-related syndrome that, similar to many occupations, influences
most software developers. For decades, studies in software engineering (SE) have explored …

The decision of ground truth for speech emotion recognition (SER) is still a critical issue in
affective computing tasks. Previous studies on emotion recognition often rely on consensus …

Most speech emotion recognition methods based on frames have obtained good results in
many applications. However, they segment each speech sample into smaller frames that are …

Artificial intelligence and machine learning systems have demonstrated huge improvements
and human-level parity in a range of activities, including speech recognition, face …

Despite the widespread utilization of deep neural networks (DNNs) for speech emotion
recognition (SER), they are severely restricted due to the paucity of labeled data for training …

This paper presents a novel speech emotion recognition (SER) method to capture the
uncertainty in predicting emotional attributes using the true distribution of scores provided by …

Despite achieving impressive performance, dimensional affect or emotion recognition from
faces is largely based on uncertainty-unaware models that predict only point estimates …

In this article we present a multi-modal machine learning-based system, which we call
ACORN, to analyze videos of school classrooms for the Positive Climate (PC) and Negative …

Virtual assistants smart interaction dialogue with human being there paralinguistic,
emotional speech played very important role. In this paper a comprehensive view is …

Movement synchrony refers to the dynamic temporal connection between the motions of
interacting people. The automatic measurement of movement synchrony is worth studying …