Emotion detection (ED) plays a vital role in determining individual interest in any field.
Humans use gestures, facial expressions, and voice pitch and choose words to describe …

Automatic emotion recognition from speech signals without linguistic cues has been an
important emerging research area. Integrating emotions in human–computer interaction is of …

Speech emotion recognition (SER) research has usually focused on the analysis of the
native language of speakers, most commonly, targeting European and Asian languages. In …

Emotional speech recognition for the Arabic language is insufficiently tackled in the literature
compared to other languages. In this paper, we present the work of creating and verifying …

Abstract Crafting reliable Speech Emotion Recognition systems is an arduous task that
inevitably requires large amounts of data for training purposes. Such voluminous datasets …

In this paper, we present and describe our first work to design and build a natural Arabic
visual-audio database for the computational processing of emotions and affect in speech …

Designing reliable Speech Emotion Recognition systems is a complex task that inevitably
requires sufficient data for training purposes. Such extensive datasets are currently available …

Speech can actively elicit feelings and attitudes by using words. It is important for
researchers to identify the emotional content contained in speech signals as well as the sort …

Abstract Emotionally intelligent Virtual Assistants (VAs) are increasingly gaining popularity,
especially with the digitization of different life aspects. The focus of our work is to build VAs …

Emotion detection is one of the greatest challenges of Natural Language Processing (NLP).
Often referred to as emotion recognition, it is the process of identifying a person's various …