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 …

Emotional chatting machine: Emotional conversation generation with internal and external memory

H Zhou, M Huang, T Zhang, X Zhu, B Liu - Proceedings of the AAAI …, 2018 - ojs.aaai.org
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 …

Don't scratch! Self-adaptors reflect emotional stability

M Neff, N Toothman, R Bowmani, JE Fox Tree… - Intelligent Virtual Agents …, 2011 - Springer
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 …

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 …

Bridging the gap between social animal and unsocial machine: A survey of social signal processing

A Vinciarelli, M Pantic, D Heylen… - IEEE Transactions …, 2011 - ieeexplore.ieee.org
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 …

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 …

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 …

Topic-enhanced emotional conversation generation with attention mechanism

Y Peng, Y Fang, Z **e, G Zhou - Knowledge-Based Systems, 2019 - Elsevier
Emotional conversation generation has elicited a wide interest in both academia and
industry. However, existing emotional neural conversation systems tend to ignore the …

Simulation of the dynamics of nonplayer characters' emotions and social relations in games

M Ochs, N Sabouret, V Corruble - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
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 …

Perceptual audio features for emotion detection

MC Sezgin, B Gunsel, GK Kurt - EURASIP Journal on Audio, Speech, and …, 2012 - Springer
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 …