政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/75044
English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  全文笔数/总笔数 : 111314/142224 (78%)
造访人次 : 48343495      在线人数 : 949
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧：
  • 您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果
  • 若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据
    •  进阶搜寻
    政大機構典藏 > 資訊學院 > 資訊科學系 > 會議論文 >  Item 140.119/75044


    请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/75044


    题名: Classification of non-speech human sounds: Feature selection and snoring sound analysis
    作者: Liao, Wen-Hung;Lin, Y.-K.
    廖文宏
    贡献者: 資訊科學系
    关键词: Acoustic features;Audio classification;Audio signal;Environmental sounds;Extensive simulations;Feature selection;Human sounds;Human speech;Multivariate adaptive regression splines;Obstructive sleep apnea;Scene analysis;Sound analysis;Classification (of information);Cybernetics;Sleep research;Support vector machines;Audio acoustics
    日期: 2009
    上传时间: 2015-05-07 17:40:17 (UTC+8)
    摘要: Human sounds can be roughly divided into two categories: speech and non-speech. Traditional audio scene analysis research puts more emphasis on the classification of audio signals into human speech, music, and environmental sounds. We take a different perspective in this paper. We are mainly interested in the analysis of non-speech human sounds, including laugh, scream, sneeze, and snore. Toward this goal, we investigate many commonly used acoustic features and select useful ones for classification using multivariate adaptive regression splines (MARS) and support vector machine (SVM). To evaluate the robustness of the selected features, we also perform extensive simulations to observe the effect of noise on the accuracy of the classification. Finally, for the class of snoring sounds, we propose a robust approach to further categorize them into simple snores and snores of subjects with obstructive sleep apnea (OSA). ©2009 IEEE.
    關聯: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics,2695-2700
    数据类型: conference
    DOI 連結: http://dx.doi.org/10.1109/ICSMC.2009.5346556
    DOI: 10.1109/ICSMC.2009.5346556
    显示于类别:[資訊科學系] 會議論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML21035检视/开启


    在政大典藏中所有的数据项都受到原著作权保护.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈