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http://dx.doi.org/10.7776/ASK.2006.25.6.269

A Study on Robust Speech Emotion Feature Extraction Under the Mobile Communication Environment  

Cho Youn-Ho (단국대학교 정보.컴퓨터과학과)
Park Kyu-Sik (단국대학교 정보. 컴퓨터과학과)
Publication Information
The Journal of the Acoustical Society of Korea / v.25, no.6, 2006 , pp. 269-276 More about this Journal
Abstract
In this paper, we propose an emotion recognition system that can discriminate human emotional state into neutral or anger from the speech captured by a cellular-phone in real time. In general. the speech through the mobile network contains environment noise and network noise, thus it can causes serious System performance degradation due to the distortion in emotional features of the query speech. In order to minimize the effect of these noise and so improve the system performance, we adopt a simple MA (Moving Average) filter which has relatively simple structure and low computational complexity, to alleviate the distortion in the emotional feature vector. Then a SFS (Sequential Forward Selection) feature optimization method is implemented to further improve and stabilize the system performance. Two pattern recognition method such as k-NN and SVM is compared for emotional state classification. The experimental results indicate that the proposed method provides very stable and successful emotional classification performance such as 86.5%. so that it will be very useful in application areas such as customer call-center.
Keywords
Mobile communication; Speech emotion recognition; MA filtering; SFS; Call center;
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