International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Pattern Recognition Methods for Emotion Recognition with speech signal

  • Park Chang-Hyun (School of Electrical and Electronic Engineering, Chung-Ang University) ;
  • Sim Kwee-Bo (School of Electrical and Electronic Engineering, Chung-Ang University)
  • Published : 2006.06.01
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Abstract

In this paper, we apply several pattern recognition algorithms to emotion recognition system with speech signal and compare the results. Firstly, we need emotional speech databases. Also, speech features for emotion recognition are determined on the database analysis step. Secondly, recognition algorithms are applied to these speech features. The algorithms we try are artificial neural network, Bayesian learning, Principal Component Analysis, LBG algorithm. Thereafter, the performance gap of these methods is presented on the experiment result section.

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References

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