Modelling multimodal expression of emotion in a virtual agent
C Pelachaud - … Transactions of the Royal Society B …, 2009 - royalsocietypublishing.org
Over the past few years we have been develo** an expressive embodied conversational
agent system. In particular, we have developed a model of multimodal behaviours that …
agent system. In particular, we have developed a model of multimodal behaviours that …
Emotional chatting machine: Emotional conversation generation with internal and external memory
Perception and expression of emotion are key factors to the success of dialogue systems or
conversational agents. However, this problem has not been studied in large-scale …
conversational agents. However, this problem has not been studied in large-scale …
Don't scratch! Self-adaptors reflect emotional stability
A key goal in agent research is to be able to generate multimodal characters that can reflect
a particular personality. The Big Five model of personality provides a framework for codifying …
a particular personality. The Big Five model of personality provides a framework for codifying …
Real-time speech emotion recognition using a pre-trained image classification network: Effects of bandwidth reduction and companding
M Lech, M Stolar, C Best, R Bolia - Frontiers in Computer Science, 2020 - frontiersin.org
This paper examines the effects of reduced speech bandwidth and the μ-low companding
procedure used in transmission systems on the accuracy of speech emotion recognition …
procedure used in transmission systems on the accuracy of speech emotion recognition …
Bridging the gap between social animal and unsocial machine: A survey of social signal processing
Social Signal Processing is the research domain aimed at bridging the social intelligence
gap between humans and machines. This paper is the first survey of the domain that jointly …
gap between humans and machines. This paper is the first survey of the domain that jointly …
Close engagements with artificial companions
Y Wilks - 2010 - torrossa.com
There is a fundamental problem with the Turing Test (Turing, 1950). It is designed to help
decide whether a machine has genuine intelligence comparable to that of a human, and …
decide whether a machine has genuine intelligence comparable to that of a human, and …
Real time speech emotion recognition using RGB image classification and transfer learning
MN Stolar, M Lech, RS Bolia… - 2017 11th International …, 2017 - ieeexplore.ieee.org
This paper describes a real-time Speech Emotion Recognition (SER) task formulated as an
image classification problem. The shift to an image classification paradigm provided the …
image classification problem. The shift to an image classification paradigm provided the …
Topic-enhanced emotional conversation generation with attention mechanism
Emotional conversation generation has elicited a wide interest in both academia and
industry. However, existing emotional neural conversation systems tend to ignore the …
industry. However, existing emotional neural conversation systems tend to ignore the …
Simulation of the dynamics of nonplayer characters' emotions and social relations in games
One of the main challenges faced by the video game industry is to give life to believable
nonplayer characters (NPCs). Research shows that emotions play a key role in determining …
nonplayer characters (NPCs). Research shows that emotions play a key role in determining …
Perceptual audio features for emotion detection
In this article, we propose a new set of acoustic features for automatic emotion recognition
from audio. The features are based on the perceptual quality metrics that are given in …
from audio. The features are based on the perceptual quality metrics that are given in …