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. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Chen, C., You, M., Song, M., Bu, J., & Liu, J. (2006). An enhanced speech emotion recognition system based on discourse information. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3991 LNCS-I, pp. 449–456). Springer Verlag. https://doi.org/10.1007/11758501_62
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
