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http://dx.doi.org/10.5302/J.ICROS.2006.12.3.284

The Pattern Recognition Methods for Emotion Recognition with Speech Signal  

Park Chang-Hyun (중앙대학교 전자전기공학부)
Sim Kwee-Bo (중앙대학교 전자전기공학부)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.12, no.3, 2006 , pp. 284-288 More about this Journal
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 is 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. Truly, emotion recognition technique is not mature. That is, the emotion feature selection, relevant classification method selection, all these problems are disputable. So, we wish this paper to be a reference for the disputes.
Keywords
emotion recognition; ANN; bayesian learning; principal component analysis; LBG algorithm;
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