Utilizing Korean Ending Boundary Tones for Accurately Recognizing Emotions in Utterances 


Vol. 30,  No. 6, pp. 505-511, Jun.  2005


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  Abstract

Autonomic machines interacting with human should have capability to perceive the states of emotion and attitude through implicit messages for obtaining voluntary cooperation from their clients. Voice is the easiest and most natural way to exchange human messages. The automatic systems capable to understanding the states of emotion and attitude have utilized features based on pitch and energy of uttered sentences. Performance of the existing emotion recognition systems can be further improved withthe support of linguistic knowledge that specific tonal section in a sentence is related with the states of emotion and attitude. In this paper, we attempt to improve recognition rate of emotion by adopting such linguistic knowledge for Korean ending boundary tones into anautomatic system implemented using pitch-related features and multilayer perceptrons. From the results of an experiment over a Korean emotional speech database, the improvement of 4% is confirmed.

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  Cite this article

[IEEE Style]

I. Jang, T. Lee, M. Park, T. Kim, D. Jang, "Utilizing Korean Ending Boundary Tones for Accurately Recognizing Emotions in Utterances," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 6, pp. 505-511, 2005. DOI: .

[ACM Style]

In-Chang Jang, Tae-Seung Lee, Mikyoung Park, Tae-Soo Kim, and Dong-Sik Jang. 2005. Utilizing Korean Ending Boundary Tones for Accurately Recognizing Emotions in Utterances. The Journal of Korean Institute of Communications and Information Sciences, 30, 6, (2005), 505-511. DOI: .

[KICS Style]

In-Chang Jang, Tae-Seung Lee, Mikyoung Park, Tae-Soo Kim, Dong-Sik Jang, "Utilizing Korean Ending Boundary Tones for Accurately Recognizing Emotions in Utterances," The Journal of Korean Institute of Communications and Information Sciences, vol. 30, no. 6, pp. 505-511, 6. 2005.