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Exploring multimodal data analysis for emotion recognition in teachers’ teaching behavior based on LSTM and MSCNN
The diverse range of emotions exhibited in instructional behavior exerts a profound influence on the effectiveness of teaching and the cognitive...
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Multimodal Emotion Recognition Using Contextualized Audio Information and Ground Transcripts on Multiple Datasets
The widespread applications of emotion recognition (ER) in various fields have recently attracted much attention from researchers. Consequently, an...
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Multimodal Attention CNN for Human Emotion Recognition
The human face is the mirror of the mind. The face generally tells all that is going on in one’s heart and mind. Just by looking at the faces of our...
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Emotion Recognition from Multimodal Data: a machine learning approach combining classical and hybrid deep architectures
PurposeThe expression of emotions is essential in human relationships. However, the aging process associated with some pathologies such as...
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Multimodal Emotion Recognition Using Attention-Based Model with Language, Audio, and Video Modalities
Multimodal emotion identification is becoming increasingly important in human–computer interaction due to the amount of emotional information in...
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Towards Machine Learning-Based Emotion Recognition from Multimodal Data
Understanding human emotion is vital to communicate effectively with others, monitor patients, analyse behaviour, and keep an eye on those who are...
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Comparison and Performance Evaluation of Fusion Mechanism for Audio–Video Based Multimodal Emotion Recognition
Artificial emotional intelligence is an emerging research area in artificial intelligence. In artificial intelligence, machine learning and deep...
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Context-Aware Multimodal Emotion Recognition
Making human–computer interaction more organic and personalized for users essentially demands advancement in human emotion recognition. Emotions are...
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An Efficient Multimodal Emotion Identification Using FOX Optimized Double Deep Q-Learning
The physiological process of emotion is a comprehensive human state brought on by the conscious and unconscious observation of circumstances...
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Multimodal emotion recognition using SDA-LDA algorithm in video clips
This paper focuses on Multimodal Emotion Recognition (MER) which can be conceptually perceived as the superset of Speech Emotion Recognition (SER)...
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Speech emotion recognition using the novel SwinEmoNet (Shifted Window Transformer Emotion Network)
Understanding human emotions is necessary for various tasks, including interpersonal interaction, knowledge acquisition, and determining courses of...
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A multi-modal deep learning system for Arabic emotion recognition
Emotion analysis is divided into emotion detection, where the system detects if there is an emotional state, and emotion recognition where the system...
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CCTG-NET: Contextualized Convolutional Transformer-GRU Network for speech emotion recognition
Speech is a crucial aspect of human-to-human interactions and plays a fundamental role in the advancement of human–computer interaction (HCI)...
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Semantic fusion of facial expressions and textual opinions from different datasets for learning-centered emotion recognition
Learning-centered emotions have a significant role in the cognitive process in learning. For this reason, it is relevant that virtual learning...
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Automatic Speech Emotion Recognition: a Systematic Literature Review
Automatic Speech Emotion Recognition (ASER) has recently garnered attention across various fields including artificial intelligence, pattern...
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Music Emotion Classification Algorithm Based on Multimodal Deep Learning
In response to the problem of existing algorithms that only consider single-modal features of music or videos, leading to low classification...
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DSNet: Disentangled Siamese Network with Neutral Calibration for Speech Emotion Recognition
One persistent challenge in deep learning based speech emotion recognition (SER) is the unconscious encoding of emotion-irrelevant factors (e.g.,...
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Multimodal emotion recognition based on feature selection and extreme learning machine in video clips
Multimodal fusion-based emotion recognition has attracted increasing attention in affective computing because different modalities can achieve...
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Speech Emotion Recognition: A Comprehensive Survey
Speech emotion recognition could be considered a new topic in speech processing where he plays that plays an essential role in human interaction....
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Human emotion recognition based on brain signal analysis using fuzzy neural network
An important method in the “human–computer interface” (HCI) is emotion recognition. Conventional emotion detection algorithms rely on exterior...
