An enhanced speech emotion recognition system based on discourse information

Authors:
Chun Chen;Mingyu You;Mingli Song;Jiajun Bu;Jia Liu
Affiliations:
College of Computer Science, YuQuan Campus, ZheJiang University, Hangzhou, P.R.China;College of Computer Science, YuQuan Campus, ZheJiang University, Hangzhou, P.R.China;College of Computer Science, YuQuan Campus, ZheJiang University, Hangzhou, P.R.China;College of Computer Science, YuQuan Campus, ZheJiang University, Hangzhou, P.R.China;College of Computer Science, YuQuan Campus, ZheJiang University, Hangzhou, P.R.China
Venue:
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part I
Year:
2006

Citing 2
Cited 2

How to find trouble in communication

Speech Communication - Special issue on speech and emotion
CHAD: a chinese affective database

ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction

Survey on speech emotion recognition: Features, classification schemes, and databases

Pattern Recognition
Automatic emotion recognition from speech a PhD research proposal

ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

There are certain correlation between two persons’ emotional states in communication, but none of previous work has focused on it. In this paper, a novel conversation database in Chinese was collected and an emotion interaction matrix was proposed to embody the discourse information in conversation. Based on discourse information, an enhanced speech emotion recognition system was presented to improve the recognition accuracy. Some modifications were performed on traditional KNN classification, which could reduce the interruption of noise. Experiment result shows that our system makes 3% – 5% relative improvement compared with the traditional method.