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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/96042

    Title: Speech Detection Based on Discrete Wavelet Transform
    Authors: Hsieh, Ching-Tang;Hsu, Chih-Hsu
    Contributors: 淡江大學電機工程學系
    Keywords: 模糊系統;語音偵測;小波轉換;規則庫;矩形模糊系統;Fuzzy System;Speech Detection;Wavelet Transform;Rule Base;Rectangular Fuzzy System
    Date: 2002-08
    Issue Date: 2014-02-13 11:38:21 (UTC+8)
    Abstract: This paper presents a fuzzy system to discriminate speech signals from background. In our previous works, we had developed a method for speech classification. For speech classification, the universe of discourse is divided into two types, and each type is treated as a class. These are background and speech signals. The rectangular fuzzy system (RFS) is used to classify frames and integrate the rule-based approach. The variance of first detail and the third approximation can extract fuzzy classification rules. Experimental results demonstrate the superior performance to the conventional ones . The effectiveness of the proposed system is confirmed by the experimental results.
    Relation: 第三屆國際中文口述語言處理研討會暨海峽兩岸口語語音處理論壇論文集,頁115-118
    Appears in Collections:[電機工程學系暨研究所] 會議論文

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