The Interactive Feature Selection Method Development for an ANN Based Emotion Recognition System

  • Chang-Hyun Park
  • Kwee-Bo Sim
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4253)


This paper presents an original feature selection method for Emotion Recognition which includes many original elements. Feature selection has some merit regarding pattern recognition performance. Thus, we implemented a simulator called an ’IFS system’ and the results of the IFS were applied to an emotion recognition system(ERS). Our innovative feature selection method was based on a Reinforcement Learning Algorithm and since it required responses from human users, it was denoted an ’Interactive Feature Selection’. By performing an IFS, we were able to obtain three top features and apply them to the ERS.


Feature Selection Speech Signal Emotion Recognition Feature Selection Method Speech Rate 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Chang-Hyun Park
    • 1
  • Kwee-Bo Sim
    • 1
  1. 1.School of Electrical and Electronic EngineeringChung-Ang UniversitySeoulKorea

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