Identification of Voice for Listeners who Feel Favor Using Voice Analysis 


Vol. 41,  No. 1, pp. 122-131, Jan.  2016


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  Abstract

In the smart societies, such as the current unlike in the past, the voice that listeners will feel favor is changing through the development of ICT technologies and infrastructure. In other words, in the past, loud, intensive and fast voice is a favorite but now a new social and cultural situation that is changing them with ICT technologies. Now, this becomes one of the important things that we clarify ‘Is it a voice that feels a favor?". For this, in this paper, we identified what voice that listeners feel favor by applying ICT technologies. Studies were carried out to proceed largely divided into two categories. Firstly, as the quantified data, we extracted the impact on favorable feeling of listeners which related with emotional speech by empirical analysis work. To do this, we performed the experiment for the public. Secondly, we identified what kind of voice which listeners feel a good impression. For this, we identified voice characteristics that there are people who are influential in the real society. Also, we extracted both the voice characteristics of each influential people and common voice characteristics. In addition, we want to overcome the problems of qualitative methods that have originally limitations in objective respects which is significant to the voice analysis. For this, we performed the experiments of the voice analysis by numerical and visual approaches.

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  Cite this article

[IEEE Style]

J. H. Choi, D. U. Cho, Y. M. Jeong, "Identification of Voice for Listeners who Feel Favor Using Voice Analysis," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 1, pp. 122-131, 2016. DOI: .

[ACM Style]

Ji Hyun Choi, Dong Uk Cho, and Yeon Man Jeong. 2016. Identification of Voice for Listeners who Feel Favor Using Voice Analysis. The Journal of Korean Institute of Communications and Information Sciences, 41, 1, (2016), 122-131. DOI: .

[KICS Style]

Ji Hyun Choi, Dong Uk Cho, Yeon Man Jeong, "Identification of Voice for Listeners who Feel Favor Using Voice Analysis," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 1, pp. 122-131, 1. 2016.