Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …

Nowadays emotion recognition from speech (SER) is a demanding research area for
researchers because of its wide real-life applications. There are many challenges for SER …

Automatic human affect recognition is a key step towards more natural human-computer
interaction. Recent trends include recognition in the wild using a fusion of audiovisual and …

The speech emotion recognition (SER) field has been active since it became a crucial
feature in advanced Human-Computer Interaction (HCI), and wide real-life applications use …

Hearing impaired persons are more expressive while speaking and expression is a salient
feature in hearing impaired Visual Speech Recognition. Most Visual Speech Recognition …

In the rapidly evolving landscape of higher education and adult learning, asynchronous
video-based online learning has not only become the new norm but has also emerged as …

The increasing availability of large-scale emotion corpus along with the advancement in
emotion recognition algorithms have enabled the emergence of next-generation human …

Speech emotion recognition (SER) has grown to be one of the most trending research topics
in computational linguistics in the last two decades. Speech being the primary …

Childhood autism spectrum disorder (ASD) can easily be misdiagnosed, due to the
nonspecific social and communicational deficits associated with the disorder. The present …

This chapter traces the complicated history of language as an aspect of different emotion
theories over the last century. Historically, emotion theorists conceived of emotions …