Spectrum Feature Analysis of Crying Sounds of Infant Cold and Pneumonia


KIPS Transactions on Computer and Communication Systems, Vol. 15, No. 4, pp. 301-306, Apr. 2008
10.3745/KIPSTB.2008.15.4.301, Full Text:

Abstract

Recently, various health care methods for infants have been suggested in the impending era of low birth rate society. We propose, in this context, an early diagnosis method for common infant respiratory diseases. Particularly, the method is regarding infant cold and infant pneumonia. Firstly, sounds of infant crying, only expressing means of infants, among the infant cold group and the infant pneumonia group are compared and examined to find the differences from those among the healthy infant group. For this, the link between infected organs and articulatory organs is investigated. Also, resulting wave forms and frequency bandwidths among each group are compared and analyzed, by using the spectrum for a component voice, to diagnose the infant cold and pneumonia. Finally, the effectiveness of this method is verified through the xperiments.


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Cite this article
[IEEE Style]
B. H. Kim, S. H. Lee and D. U. Cho, "Spectrum Feature Analysis of Crying Sounds of Infant Cold and Pneumonia," KIPS Journal B (2001 ~ 2012) , vol. 15, no. 4, pp. 301-306, 2008. DOI: 10.3745/KIPSTB.2008.15.4.301.

[ACM Style]
Bong Hyun Kim, Se Hwan Lee, and Dong Uk Cho. 2008. Spectrum Feature Analysis of Crying Sounds of Infant Cold and Pneumonia. KIPS Journal B (2001 ~ 2012) , 15, 4, (2008), 301-306. DOI: 10.3745/KIPSTB.2008.15.4.301.