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http://dx.doi.org/10.7776/ASK.2009.28.5.477

A Study on Robust Emotion Classification Structure Between Heterogeneous Speech Databases  

Yoon, Won-Jung (단국대학교 컴퓨터학부)
Park, Kyu-Sik (단국대학교 컴퓨터학부)
Publication Information
The Journal of the Acoustical Society of Korea / v.28, no.5, 2009 , pp. 477-482 More about this Journal
Abstract
The emotion recognition system in commercial environments such as call-center undergoes severe system performance degradation and instability due to the speech characteristic differences between the system training database and the input speech of unspecified customers. In order to alleviate these problems, this paper extends traditional method of emotion recognition of neutral/anger into two-step hierarchical structure by using emotional characteristic changes and differences of male and female. The experimental results indicate that the proposed method provides very stable and successful emotional classification performance about 25% over the traditional method of emotion recognition.
Keywords
Call-center; Emotion classification; Heterogeneous speech DB;
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