The performance of a speech emotion recognition (SER) system is heavily influenced by the
efficacy of its feature extraction techniques. The study was designed to advance the field of …

In human–computer interaction systems, speech emotion recognition (SER) plays a crucial
role because it enables computers to understand and react to users' emotions. In the past …

Since informatization and digitization came into life, audio signal emotion classification has
been widely studied and discussed as a hot issue in many application fields. With the …

Speech Emotions Recognition (SER) has gained significant attention in the fields of human–
computer interaction and speech processing. In this article, we present a novel approach to …

Speech emotion recognition (SER) stands as a prominent and dynamic research field in
data science due to its extensive application in various domains such as psychological …

The most effective technique to convey one's thoughts and actions to another is through the
use of emotion. Emotion recognition from one's own voice is the most urgently needed …

Today, automatic emotion recognition in speech is one of the most important areas of
research in signal processing. Identifying emotional content in Arabic speech is regarded as …

Affective computing is crucial in various Human–Computer Interaction (HCI) and multimedia
systems for comprehensive emotional assessment and response. The existing Speech …

This research delves into the concept of color grading in film, focusing on how color
influences the emotional response of the audience. The study commenced by recalling state …

Speech is a powerful means to expressing thoughts, emotions, and perspectives. However,
accurately determining the emotions conveyed through speech remains a challenging task …