Correctly recognizing speech emotions is of significant importance in various fields, such as
healthcare and human–computer interaction (HCI). However, the complexity of speech …

Automated speech emotion recognition (SER) has been gaining popularity among
researchers for three decades because of its vast number of applications in the real world. It …

Speech emotion recognition (SER) plays an important role in human-computer interaction
(HCI) technology and has a wide range of application scenarios in medical medicine …

Parkinson's disease (PD) is a neurodegenerative condition of the nervous system that
impairs movement caused by brain cell degeneration and it is most common after …

The primary goal of automated speech emotion recognition (SER) is to accurately and
effectively identify each specific emotion conveyed in a speech signal utilizing machines …

Speech emotion recognition (SER) is essential for addressing many personal and
professional challenges in our everyday lives. The application of SER has shown potential …

Speech emotion recognition plays a crucial role in analyzing psychological disorders,
behavioral decision‐making, and human‐machine interaction applications. However, the …

Emotion recognition through speech is a technique employed in various scenarios of
Human–Computer Interaction (HCI). Existing approaches have achieved significant results; …

Driving performance can be significantly impacted when a person experiences intense
emotions behind the wheel. Research shows that emotions such as anger, sadness …

The acoustic and prosodic characteristics of speech exhibit alterations when individuals are
affected by different health conditions. The field of biomedical engineering holds significant …