Advancing emotion recognition: a novel adaptive audio–visual fusion approach

Trends and Advances in Learning-Based Emotion Recognition Across Heterogeneous Data Modalities

Emotion recognition has emerged as a critical component in the development of intelligent systems capable of understanding and responding to human affective states across applications such as healthcare, human-computer interaction and smart environments. Despite substantial progress, achieving accurate and generalizabl...

A Systematic Review of Emotion Recognition: From Unimodal Signals to Multimodal Integration

These findings reveal that multimodal systems, which fuse visual, acoustic, linguistic, linguistic, and physiological signals, consistently outperform unimodal counterparts, achieving accuracy levels above 85% on benchmark datasets.

Towards Unified Affective AI: A Cross-Modal Survey of Emotion Recognition, Generation, and Control

This survey provides a comprehensive review of state-of-the-art methodologies for emotion recognition and generation across facial, speech, and textual modalities, covering preprocessing techniques, datasets, deep learning architectures, evaluation metrics, and emotion control mechanisms.

Light-ED: Lightweight Multimodal Emotion Detection using Enhanced EfficientNet

Emotion recognition plays a key role in affective computing and human–computer interaction, where understanding emotions from multimodal signals such as facial expressions and speech remains challenging. Most existing methods treat data fusion and classification as separate stages, limiting performance and efficiency....

A review on speech emotion recognition: a survey, recent advances, challenges

Multimodal Emotion Recognition with Emotion-Specific Cross-Modal Attention Blocks

Multimodal emotion recognition is increasingly important for healthcare, education, and human-computer interaction. However, many existing systems learn a single shared representation for all emotions, which can blur subtle class-specific cues. This paper proposes an emotion-specific multimodal architecture that combin...