Analyzing and understanding the sentiments of social media documents on Twitter,
Facebook, and Instagram has become a very important task at present. Analyzing the …

Meticulous learning of human emotions through speech is an indispensable function of
modern speech emotion recognition (SER) models. Consequently, deriving and interpreting …

Understanding and identifying emotional cues in human speech is a crucial aspect of
human–computer communication. The application of computer technology in dissecting and …

Social networks such as twitter have emerged as social platforms that can impart a massive
knowledge base for people to share their unique ideas and perspectives on various topics …

Abstract Automatic Speech Emotion Recognition (ASER) has recently garnered attention
across various fields including artificial intelligence, pattern recognition, and human …

Speech emotion recognition (SER) is a field that has drawn a lot of attention due to its
applications in diverse fields. A current trend in methods used for SER is to leverage …

Research on diagnosing diseases based on voice signals is rapidly increasing, including
cough-related diseases. When training the cough sound signals into deep learning models …

Emotion detection is a fundamental component in the field of Affective Computing. Proper
recognition of emotions can be useful in improving the interaction between humans and …

The perception of sound greatly impacts users' emotional states, expectations, affective
relationships with products, and purchase decisions. Consequently, assessing the …

With the rapid development of multimedia technology, personnel verification systems have
become increasingly important in the security field and identity verification. However …