Study of a vocal feature selection method and vocal properties for discriminating four constitution types.

Study of a vocal feature selection method and vocal properties for discriminating four constitution types.
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DOI:
10.1155/2012/831543
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发表时间:
2012
期刊:
Evidence-based complementary and alternative medicine : eCAM
影响因子:
--
通讯作者:
Kim JY
Kim JY
中科院分区:
其他
文献类型:
--
作者:
Kim KH;Ku B;Kang N;Kim YS;Jang JS;Kim JY

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在韩国传统医学中,语音已被用于对四种体质类型进行分类,并通过提取有意义的物理量来识别受试者的健康状况。在本文中,我们提出了一种方法,选择可靠的变量从各种语音特征,如频率导数功能,频带比,和强度,从元音和句子。此外,我们提出了一个过程,通过消除解释变量,减少它们的相关性,并删除离群数据,使可靠的判别分析提取自变量。此外,根据受试者的性别和年龄,讨论了分析数据的适当划分。最后,将语音特征应用于判别分析,对各构成类型进行分类。这种语音分类方法可以广泛应用于个性化医疗的u-Healthcare系统中,提高诊断准确性。
The voice has been used to classify the four constitution types, and to recognize a subject's health condition by extracting meaningful physical quantities, in traditional Korean medicine. In this paper, we propose a method of selecting the reliable variables from various voice features, such as frequency derivative features, frequency band ratios, and intensity, from vowels and a sentence. Further, we suggest a process to extract independent variables by eliminating explanatory variables and reducing their correlation and remove outlying data to enable reliable discriminant analysis. Moreover, the suitable division of data for analysis, according to the gender and age of subjects, is discussed. Finally, the vocal features are applied to a discriminant analysis to classify each constitution type. This method of voice classification can be widely used in the u-Healthcare system of personalized medicine and for improving diagnostic accuracy.
DOI: 10.1093/ecam/nep100
发表时间: 2009-09-01
影响因子: --
作者:
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通讯作者: Duong Duc Pham
DOI: 10.1093/ecam/nep097
发表时间: 2009-09-01
影响因子: --
作者:
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发表时间: 2009-09-01
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作者:
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