Identification of Voice Features for Recently Voice Fishing by Voice Analysis 


Vol. 41,  No. 10, pp. 1276-1283, Oct.  2016


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  Abstract

The scale of financial damages on voice fishing has not been decreased despite of national and social efforts to reduce the amounts of voice fishing damage. One of these reasons is a sophisticated and vernacular speech style that makes it difficult to recognize the offenders. Furthermore, nowadays, young men have intensively been deceived by not only sophisticated and vernacular speech style which is used the employer of real public offices but also obtained personal information. As a result, this lead directly to the financial damages of younger people who has a stronger judgement than older. For this, we investigated the comparison and analysis between the criminals of voice fishing and the same generation younger people for identifying voice features. The experiment was carried out based on the pitch, bandwidth of pitch, energy, speech speed and voice color for searching the difference of voice characteristics between the criminals of voice fishing and the same generation younger people since 2011. The experimental result shows that there is a significant difference in energy and speech speed between the criminals of voice fishing and the same generation younger people.

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  Cite this article

[IEEE Style]

B. J. Lee, D. U. Cho, Y. M. Jeong, "Identification of Voice Features for Recently Voice Fishing by Voice Analysis," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 10, pp. 1276-1283, 2016. DOI: .

[ACM Style]

Bum Joo Lee, Dong Uk Cho, and Yeon Man Jeong. 2016. Identification of Voice Features for Recently Voice Fishing by Voice Analysis. The Journal of Korean Institute of Communications and Information Sciences, 41, 10, (2016), 1276-1283. DOI: .

[KICS Style]

Bum Joo Lee, Dong Uk Cho, Yeon Man Jeong, "Identification of Voice Features for Recently Voice Fishing by Voice Analysis," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 10, pp. 1276-1283, 10. 2016.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880