Learning in audio-visual context: A review, analysis, and new perspective
Sight and hearing are two senses that play a vital role in human communication and scene
understanding. To mimic human perception ability, audio-visual learning, aimed at …
understanding. To mimic human perception ability, audio-visual learning, aimed at …
Deep multimodal emotion recognition on human speech: A review
P Koromilas, T Giannakopoulos - Applied Sciences, 2021 - mdpi.com
This work reviews the state of the art in multimodal speech emotion recognition
methodologies, focusing on audio, text and visual information. We provide a new …
methodologies, focusing on audio, text and visual information. We provide a new …
Cross-subject multimodal emotion recognition based on hybrid fusion
Multimodal emotion recognition has gained traction in affective computing research
community to overcome the limitations posed by the processing a single form of data and to …
community to overcome the limitations posed by the processing a single form of data and to …
Deep learning for robust feature generation in audiovisual emotion recognition
Automatic emotion recognition systems predict high-level affective content from low-level
human-centered signal cues. These systems have seen great improvements in classification …
human-centered signal cues. These systems have seen great improvements in classification …
Emotion recognition using a hierarchical binary decision tree approach
Automated emotion state tracking is a crucial element in the computational study of human
communication behaviors. It is important to design robust and reliable emotion recognition …
communication behaviors. It is important to design robust and reliable emotion recognition …
Behavioral signal processing: Deriving human behavioral informatics from speech and language
S Narayanan, PG Georgiou - Proceedings of the IEEE, 2013 - ieeexplore.ieee.org
The expression and experience of human behavior are complex and multimodal and
characterized by individual and contextual heterogeneity and variability. Speech and …
characterized by individual and contextual heterogeneity and variability. Speech and …
A framework for automatic human emotion classification using emotion profiles
E Mower, MJ Matarić… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
Automatic recognition of emotion is becoming an increasingly important component in the
design process for affect-sensitive human-machine interaction (HMI) systems. Well …
design process for affect-sensitive human-machine interaction (HMI) systems. Well …
Survey on audiovisual emotion recognition: databases, features, and data fusion strategies
Emotion recognition is the ability to identify what people would think someone is feeling from
moment to moment and understand the connection between his/her feelings and …
moment to moment and understand the connection between his/her feelings and …
[PDF][PDF] Context-sensitive multimodal emotion recognition from speech and facial expression using bidirectional lstm modeling
In this paper, we apply a context-sensitive technique for multimodal emotion recognition
based on feature-level fusion of acoustic and visual cues. We use bidirectional Long Short …
based on feature-level fusion of acoustic and visual cues. We use bidirectional Long Short …
Context-sensitive learning for enhanced audiovisual emotion classification
Human emotional expression tends to evolve in a structured manner in the sense that
certain emotional evolution patterns, ie, anger to anger, are more probable than others, eg …
certain emotional evolution patterns, ie, anger to anger, are more probable than others, eg …