Automated emotion recognition: Current trends and future perspectives
Background Human emotions greatly affect the actions of a person. The automated emotion
recognition has applications in multiple domains such as health care, e-learning …
recognition has applications in multiple domains such as health care, e-learning …
A systematic literature review of speech emotion recognition approaches
YB Singh, S Goel - Neurocomputing, 2022 - Elsevier
Nowadays emotion recognition from speech (SER) is a demanding research area for
researchers because of its wide real-life applications. There are many challenges for SER …
researchers because of its wide real-life applications. There are many challenges for SER …
Multimodal emotion recognition on RAVDESS dataset using transfer learning
Emotion Recognition is attracting the attention of the research community due to the multiple
areas where it can be applied, such as in healthcare or in road safety systems. In this paper …
areas where it can be applied, such as in healthcare or in road safety systems. In this paper …
Multimodal Emotion Recognition with deep learning: advancements, challenges, and future directions
In recent years, affective computing has become a topic of considerable interest, driven by
its ability to enhance several domains, such as mental health monitoring, human–computer …
its ability to enhance several domains, such as mental health monitoring, human–computer …
A proposal for multimodal emotion recognition using aural transformers and action units on ravdess dataset
Emotion recognition is attracting the attention of the research community due to its multiple
applications in different fields, such as medicine or autonomous driving. In this paper, we …
applications in different fields, such as medicine or autonomous driving. In this paper, we …
Bridging computer and education sciences: A systematic review of automated emotion recognition in online learning environments
S Yu, A Androsov, H Yan, Y Chen - Computers & Education, 2024 - Elsevier
Emotions play an important role in the learning process. With intelligent technology support,
identification and intervention of learners' cognition have made great achievement, but the …
identification and intervention of learners' cognition have made great achievement, but the …
A systematic review of trimodal affective computing approaches: Text, audio, and visual integration in emotion recognition and sentiment analysis
At the heart of affective computing lies the crucial task of decoding human emotions, a field
that expertly intertwines emotion identification with the nuances of sentiment analysis. This …
that expertly intertwines emotion identification with the nuances of sentiment analysis. This …
Deep learning-based speech emotion recognition using multi-level fusion of concurrent features
The detection and classification of emotional states in speech involves the analysis of audio
signals and text transcriptions. There are complex relationships between the extracted …
signals and text transcriptions. There are complex relationships between the extracted …
A novel dual-modal emotion recognition algorithm with fusing hybrid features of audio signal and speech context
With regard to human–machine interaction, accurate emotion recognition is a challenging
problem. In this paper, efforts were taken to explore the possibility to complete the feature …
problem. In this paper, efforts were taken to explore the possibility to complete the feature …
Affect recognition from scalp-EEG using channel-wise encoder networks coupled with geometric deep learning and multi-channel feature fusion
The expression of human emotions is a complex process that often manifests through
physiological and psychological traits and results in spatio-temporal brain activity. The brain …
physiological and psychological traits and results in spatio-temporal brain activity. The brain …