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An Enhanced Speech Emotion Recognition System Based on Discourse Information

  • Chun Chen
  • Mingyu You
  • Mingli Song
  • Jiajun Bu
  • Jia Liu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3991)

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.

Keywords

Emotional State Emotion Recognition Recognition Accuracy Acoustic Feature Recognition Result 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Chun Chen
    • 1
  • Mingyu You
    • 1
  • Mingli Song
    • 1
  • Jiajun Bu
    • 1
  • Jia Liu
    • 1
  1. 1.College of Computer Science, YuQuan CampusZheJiang UniversityHangzhouP.R.China

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