Deep learning has emerged as a powerful alternative to hand-crafted methods for emotion
recognition on combined acoustic and text modalities. Baseline systems model emotion …

Proposing a practical method for high-performance emotion recognition could facilitate
human–computer interaction. Among existing methods, deep learning techniques have …

In video-based emotion recognition (ER), it is important to effectively leverage the
complementary relationship among audio (A) and visual (V) modalities, while retaining the …

One integral and necessary part of human behavior is emotion, which affects the way people
communicate. Although human beings can recognize and interpret facial expressions, the …

Facial expression recognition plays an essential role in surveillance videos, anxiety
treatment, expression analysis, gesture recognition, computer games, patient monitoring …

Human emotion recognition is crucial in various technological domains, reflecting our
growing reliance on technology. Facial expressions play a vital role in conveying and …

This study delves into the realm of emotion recognition in speech, employing advanced
deep learning techniques to analyse and categorize emotions from audio data. The primary …