Voice Features Extraction of Lung Diseases Based on the Analysis of Speech Rates and Intensity


KIPS Transactions on Computer and Communication Systems, Vol. 16, No. 6, pp. 471-478, Jun. 2009
10.3745/KIPSTB.2009.16.6.471, Full Text:

Abstract

The lung diseases classifying as one of the six incurable diseases in modern days are caused mostly by smoking and air pollution. Such causes the lung function damages, and results in malfunction of the exchange of carbon dioxide and oxygen in an alveolus, which the interest is augment with risk diseases of life prolongation. With this in the paper, we proposed a diagnosis method of lung diseases by applying parameters of voice analysis aiming at the getting the voice feature extraction. Firstly, we sampled the voice data from patients and normal persons in the same age and sex, and made two sample groups from them. Also, we conducted an analysis by applying the various parameters of voice analysis through the collected voice data. The relational significance between the patient and normal groups can be evaluated in terms of speech rates and intensity as a part of analized parameters. In conclusion, the patient group has shown slower speech rates and bigger intensity than the normal group. With this, we propose the method of voice feature extraction for lung diseases.


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Cite this article
[IEEE Style]
B. H. Kim and D. U. Cho, "Voice Features Extraction of Lung Diseases Based on the Analysis of Speech Rates and Intensity," KIPS Journal B (2001 ~ 2012) , vol. 16, no. 6, pp. 471-478, 2009. DOI: 10.3745/KIPSTB.2009.16.6.471.

[ACM Style]
Bong Hyun Kim and Dong Uk Cho. 2009. Voice Features Extraction of Lung Diseases Based on the Analysis of Speech Rates and Intensity. KIPS Journal B (2001 ~ 2012) , 16, 6, (2009), 471-478. DOI: 10.3745/KIPSTB.2009.16.6.471.