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http://dx.doi.org/10.7776/ASK.2009.28.3.251

Discrimination Between Natural and Artificial Seismic Sounds by Using 20 MSVQ Algorithm  

Yoon, Sang-Hoon (숭실대학교 정보통신전자공학부)
Song, Young-Hwan (숭실대학교 정보통신전자공학부)
Bae, Myung-Jin (숭실대학교 정보통신전자공학부)
Publication Information
The Journal of the Acoustical Society of Korea / v.28, no.3, 2009 , pp. 251-259 More about this Journal
Abstract
This paper proposes an identification technique to discriminate natural and artificial seismic sounds by using the 20 MSVQ algorithm with the data measured by using a hydrophone. Spectrum band energy and MFCC were used as representative parameters for sake of discriminating natural and artificial seismic sounds, and the orders of characterized parameters were determined through experiments. As a result of using 20 MSVQ algorithm with the 2 characterized parameters, MFCC had 99.9% and the spectrum energy parameter had 83.9% percent of success. It was verified that it is extremely accurate when seismic sounds were discriminated by using the method suggested by this paper.
Keywords
Discrimination; Recognition; Seismic; Energy; MFCC;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
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