Categorical and dimensional affect analysis in continuous input: Current trends and future directions
H Gunes, B Schuller - Image and Vision Computing, 2013 - Elsevier
In the context of affective human behavior analysis, we use the term continuous input to refer
to naturalistic settings where explicit or implicit input from the subject is continuously …
to naturalistic settings where explicit or implicit input from the subject is continuously …
Emotion representation, analysis and synthesis in continuous space: A survey
Despite major advances within the affective computing research field, modelling, analysing,
interpreting and responding to naturalistic human affective behaviour still remains as a …
interpreting and responding to naturalistic human affective behaviour still remains as a …
Emotion recognition and affective computing on vocal social media
Vocal media has become a popular method of communication in today's social networks.
While conveying semantic information, vocal messages usually also contain abundant …
While conveying semantic information, vocal messages usually also contain abundant …
[图书][B] Modelling paralanguage using systemic functional semiotics: Theory and application
Winner of the ASFLA (Australian Systemic Functional Linguistics Association) MAK Halliday
Prize 2023 This book is the first comprehensive account of'body language'as' paralanguage' …
Prize 2023 This book is the first comprehensive account of'body language'as' paralanguage' …
Emotion-augmented machine learning: Overview of an emerging domain
H Strömfelt, Y Zhang… - 2017 Seventh International …, 2017 - ieeexplore.ieee.org
Emotion has been exposed as a crucial component of intelligent behaviour. Considerations
in both neuroscience and psychology have identified emotion as playing a central role in …
in both neuroscience and psychology have identified emotion as playing a central role in …
Multi-task deep neural network with shared hidden layers: Breaking down the wall between emotion representations
Y Zhang, Y Liu, F Weninger… - 2017 IEEE international …, 2017 - ieeexplore.ieee.org
Emotion representations are psychological constructs for modelling, analysing, and
recognising emotion, being one essential element of affect. Due to its complexity, the …
recognising emotion, being one essential element of affect. Due to its complexity, the …
A deep bidirectional LSTM approach for video-realistic talking head
This paper proposes a deep bidirectional long short-term memory approach in modeling the
long contextual, nonlinear mapping between audio and visual streams for video-realistic …
long contextual, nonlinear mapping between audio and visual streams for video-realistic …
[PDF][PDF] Low Resource Acoustic-to-articulatory Inversion Using Bi-directional Long Short Term Memory.
Estimating articulatory movements from speech acoustic features is known as acoustic-to-
articulatory inversion (AAI). Large amount of parallel data from speech and articulatory …
articulatory inversion (AAI). Large amount of parallel data from speech and articulatory …
Bodily expression for automatic affect recognition
This chapter first addresses the question of 'why bodily expression?', and attempts to find
answers by reviewing the latest bodily expression perception literature. It then turns its …
answers by reviewing the latest bodily expression perception literature. It then turns its …
Continuous estimation of emotions in speech by dynamic cooperative speaker models
Research on automatic emotion recognition from speech has recently focused on the
prediction of time-continuous dimensions (eg, arousal and valence) of spontaneous and …
prediction of time-continuous dimensions (eg, arousal and valence) of spontaneous and …