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http://dx.doi.org/10.5391/JKIIS.2004.14.2.150

Emotion Recognition Method from Speech Signal Using the Wavelet Transform  

Go, Hyoun-Joo (충북대학교 전기전자컴퓨터공학부 컴퓨터 정보통신 연구소)
Lee, Dae-Jong (충북대학교 전기전자컴퓨터공학부 컴퓨터 정보통신 연구소)
Park, Jang-Hwan (충주대학교 정보 제어 공학과)
Chun, Myung-Geun (충북대학교 전기전자컴퓨터공학부 컴퓨터 정보통신 연구소)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.14, no.2, 2004 , pp. 150-155 More about this Journal
Abstract
In this paper, an emotion recognition method using speech signal is presented. Six basic human emotions including happiness, sadness, anger, surprise, fear and dislike are investigated. The proposed recognizer have each codebook constructed by using the wavelet transform for the emotional state. Here, we first verify the emotional state at each filterbank and then the final recognition is obtained from a multi-decision method scheme. The database consists of 360 emotional utterances from twenty person who talk a sentence three times for six emotional states. The proposed method showed more 5% improvement of the recognition rate than previous works.
Keywords
Emotion Recognition; Wavelet Transform; Speech Recognition; Human Interface;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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