The implementation of the emotion recognition from speech and facial expression system

Authors:
Chang-Hyun Park;Kwang-Sub Byun;Kwee-Bo Sim
Affiliations:
School of Electrical and Electronic Engineering, Chung-Ang University, Seoul, Korea;School of Electrical and Electronic Engineering, Chung-Ang University, Seoul, Korea;School of Electrical and Electronic Engineering, Chung-Ang University, Seoul, Korea
Venue:
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Year:
2005

Citing 1
Cited 3

Machine Learning

Machine Learning

The development of interactive feature selection and GA feature selection method for emotion recognition

KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part III
The novel feature selection method based on emotion recognition system

ICIC'06 Proceedings of the 2006 international conference on Computational Intelligence and Bioinformatics - Volume Part III
The interactive feature selection method development for an ANN based emotion recognition system

KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we introduce a system that recognize emotion by speech and show the facial expression by using 2-dimensional emotion space. 4 emotional states are classified by the work with ANN. The derived features of the signal, pitch, and loudness are quantitatively contributed to the classification of emotions. Firstly we analyze the acoustic elements for using as emotional features and the elements are evaluated by ANN classifier. Secondly, we implement an avatar (simply drawn face) and the facial expressions are changed naturally by using the dynamic emotion space model.