English  |  正體中文  |  简体中文  |  Items with full text/Total items : 56161/90161 (62%)
Visitors : 11557366      Online Users : 85
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/95881

    Title: Application of Hyper-Rectangular Fuzzy System for Speech Classification
    Authors: Hsieh, Ching-Tang;Hsu, Chih-Hsu
    Contributors: 淡江大學電機工程學系
    Keywords: Fuzzy system;Speech classification;Entropy
    Date: 2001-11
    Issue Date: 2014-02-13 11:15:31 (UTC+8)
    Abstract: This paper presents a fuzzy system to speech classification. In our previous works, we had developed a method for speech segmentation. For speech classification, the universe of discourse is divided into two types, and each type is treated as a class. These are silence and speech. The hyper-rectangular fuzzy system (HRFS) is used to classify frames and integrate the rule-based approach. The energy and entropy can extract fuzzy classification rules. In our experiments, continuous reading-rate of Mandarin balanced sentences was using to illustrate the performance of the proposed speech classification system. The effectiveness of the proposed system is confirmed by the experimental results.
    Relation: 2001中華民國第九屆模糊理論及其應用會議論文集=Proceedings of 2001 Ninth National Conference on Fuzzy Theory and Its Applications,4頁
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Proceeding

    Files in This Item:

    File SizeFormat
    Application of Hyper-Rectangular Fuzzy System for Speech Classification_英文摘要.docx20KbMicrosoft Word89View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback