A review on the long short-term memory model
Long short-term memory (LSTM) has transformed both machine learning and
neurocomputing fields. According to several online sources, this model has improved …
neurocomputing fields. According to several online sources, this model has improved …
Leveraging recent advances in deep learning for audio-visual emotion recognition
Emotional expressions are the behaviors that communicate our emotional state or attitude to
others. They are expressed through verbal and non-verbal communication. Complex human …
others. They are expressed through verbal and non-verbal communication. Complex human …
Deep learning for human affect recognition: Insights and new developments
Automatic human affect recognition is a key step towards more natural human-computer
interaction. Recent trends include recognition in the wild using a fusion of audiovisual and …
interaction. Recent trends include recognition in the wild using a fusion of audiovisual and …
End-to-end multimodal emotion recognition using deep neural networks
Automatic affect recognition is a challenging task due to the various modalities emotions can
be expressed with. Applications can be found in many domains including multimedia …
be expressed with. Applications can be found in many domains including multimedia …
Facial emotion recognition using deep learning: review and insights
W Mellouk, W Handouzi - Procedia Computer Science, 2020 - Elsevier
Automatic emotion recognition based on facial expression is an interesting research field,
which has presented and applied in several areas such as safety, health and in human …
which has presented and applied in several areas such as safety, health and in human …
Adieu features? end-to-end speech emotion recognition using a deep convolutional recurrent network
The automatic recognition of spontaneous emotions from speech is a challenging task. On
the one hand, acoustic features need to be robust enough to capture the emotional content …
the one hand, acoustic features need to be robust enough to capture the emotional content …
Avec 2016: Depression, mood, and emotion recognition workshop and challenge
The Audio/Visual Emotion Challenge and Workshop (AVEC 2016)" Depression, Mood and
Emotion" will be the sixth competition event aimed at comparison of multimedia processing …
Emotion" will be the sixth competition event aimed at comparison of multimedia processing …
AVEC 2018 workshop and challenge: Bipolar disorder and cross-cultural affect recognition
The Audio/Visual Emotion Challenge and Workshop (AVEC 2018)" Bipolar disorder, and
cross-cultural affect recognition''is the eighth competition event aimed at the comparison of …
cross-cultural affect recognition''is the eighth competition event aimed at the comparison of …
AFEW-VA database for valence and arousal estimation in-the-wild
Continuous dimensional models of human affect, such as those based on valence and
arousal, have been shown to be more accurate in describing a broad range of spontaneous …
arousal, have been shown to be more accurate in describing a broad range of spontaneous …
[PDF][PDF] Continuous emotion recognition in speech: do we need recurrence?
M Schmitt, N Cummins, B Schuller - 2019 - opus.bibliothek.uni-augsburg.de
Emotion recognition in speech is a meaningful task in affective computing and human-
computer interaction. As human emotion is a frequently changing state, it is usually …
computer interaction. As human emotion is a frequently changing state, it is usually …