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http://dx.doi.org/10.5391/JKIIS.2003.13.3.275

Emotion Recognition Using Output Data of Image and Speech  

Joo, Young-Hoon (군산대학교 전자정보공학부)
Oh, Jae-Heung (군산대학교 전자정보공학부)
Park, Chang-Hyun (군산대학교 전자정보공학부)
Sim, Kwee-Bo (중앙대학교 전자전기공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.13, no.3, 2003 , pp. 275-280 More about this Journal
Abstract
In this paper, we propose a method for recognizing the human s emotion using output data of image and speech. The proposed method is based on the recognition rate of image and speech. In case that we use one data of image or speech, it is hard to produce the correct result by wrong recognition. To solve this problem, we propose the new method that can reduce the result of the wrong recognition by multiplying the emotion status with the higher recognition rate by the higher weight value. To experiment the proposed method, we suggest the simple recognizing method by using image and speech. Finally, we have shown the potentialities through the expriment.
Keywords
emotion recognition; pitch; template vector; DRNN; Backpropagation;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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