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    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/95881

    題名: Application of Hyper-Rectangular Fuzzy System for Speech Classification
    作者: Hsieh, Ching-Tang;Hsu, Chih-Hsu
    貢獻者: 淡江大學電機工程學系
    關鍵詞: Fuzzy system;Speech classification;Entropy
    日期: 2001-11
    上傳時間: 2014-02-13 11:15:31 (UTC+8)
    摘要: 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.
    關聯: 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
    顯示於類別:[電機工程學系暨研究所] 會議論文


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