A systematic review on affective computing: Emotion models, databases, and recent advances
Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …
[HTML][HTML] Deep learning techniques for speech emotion recognition, from databases to models
The advancements in neural networks and the on-demand need for accurate and near real-
time Speech Emotion Recognition (SER) in human–computer interactions make it …
time Speech Emotion Recognition (SER) in human–computer interactions make it …
M2fnet: Multi-modal fusion network for emotion recognition in conversation
V Chudasama, P Kar, A Gudmalwar… - Proceedings of the …, 2022 - openaccess.thecvf.com
Abstract Emotion Recognition in Conversations (ERC) is crucial in developing sympathetic
human-machine interaction. In conversational videos, emotion can be present in multiple …
human-machine interaction. In conversational videos, emotion can be present in multiple …
A review of affective computing: From unimodal analysis to multimodal fusion
Affective computing is an emerging interdisciplinary research field bringing together
researchers and practitioners from various fields, ranging from artificial intelligence, natural …
researchers and practitioners from various fields, ranging from artificial intelligence, natural …
Knowledge-enriched transformer for emotion detection in textual conversations
Messages in human conversations inherently convey emotions. The task of detecting
emotions in textual conversations leads to a wide range of applications such as opinion …
emotions in textual conversations leads to a wide range of applications such as opinion …
Survey of deep representation learning for speech emotion recognition
Traditionally, speech emotion recognition (SER) research has relied on manually
handcrafted acoustic features using feature engineering. However, the design of …
handcrafted acoustic features using feature engineering. However, the design of …
ASCERTAIN: Emotion and personality recognition using commercial sensors
We present ASCERTAIN-a multimodal databaASe for impliCit pERsonaliTy and Affect
recognitIoN using commercial physiological sensors. To our knowledge, ASCERTAIN is the …
recognitIoN using commercial physiological sensors. To our knowledge, ASCERTAIN is the …
Long dialogue emotion detection based on commonsense knowledge graph guidance
Dialogue emotion detection is always challenging due to human subjectivity and the
randomness of dialogue content. In a conversation, the emotion of each person often …
randomness of dialogue content. In a conversation, the emotion of each person often …
Databases, features and classifiers for speech emotion recognition: a review
Speech is an effective medium to express emotions and attitude through language. Finding
the emotional content from a speech signal and identify the emotions from the speech …
the emotional content from a speech signal and identify the emotions from the speech …
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 …