| 基于连续小波和支持向量机的病态嗓音检测 |
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| 引用本文： | 颜景斌. 基于连续小波和支持向量机的病态嗓音检测[J]. 电脑与信息技术, 2008, 16(3): 21-23 |
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| 作者姓名： | 颜景斌 |
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| 作者单位： | 哈尔滨理工大学电气与电子工程学院,黑龙江哈尔滨,150040;白俄罗斯国立大学无线电物理与电子学院,明思克,220050 |
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| 摘 要： | 声学分析是一种非常有前景的嗓音病理诊断方法,它采用连续小波分析方法提取嗓音特征参数.文章提出了一种基于SVM的病态嗓音分类算法,通过选择径向基函数RBF,可使分类的正确率达到97%.
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| 关 键 词： | 病态嗓音检测 小波 支持向量机 核函数 |
| 文章编号： | 1005-1228(2008)03-0021-02 |
| 修稿时间： | 2008-03-17 |
Pathological Vocal Detection Based on Continuous Wavelet and Support Vector Machines |
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| YAN Jing-bin. Pathological Vocal Detection Based on Continuous Wavelet and Support Vector Machines[J]. Computer and Information Technology, 2008, 16(3): 21-23 |
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| Authors: | YAN Jing-bin |
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| Affiliation: | YAN Jing-bin1,2(1.Electric & Electronic Engineering College,Harbin University of Science , Technology,Harbin,Heilongjiang 150040,China,2.Department of Radiophysics , Electronics,Belarusian State University Minsk 220050,Belarus) |
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| Abstract: | Acoustic analysis as a perspective method of vocal pathology diagnostic.Continuous wavelet analysis method is used to extract feature parameters of voice.In this paper,the work on pathological vocal classification based on SVM is presented.When Radial Basis Function(RBF)Kernel function are used to classify,97% of classification are correct. |
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| Keywords: | pathological vocal detection wavelet support vector machines kernel function |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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