Application of Hyper-Rectangular Fuzzy System for Speech Classification
學年 90
學期 1
發表日期 2001-11-23
作品名稱 Application of Hyper-Rectangular Fuzzy System for Speech Classification
作品名稱(其他語言)
著者 Hsieh, Ching-Tang; Hsu, Chih-Hsu
作品所屬單位 淡江大學電機工程學系
出版者
會議名稱 2001中華民國第九屆模糊理論及其應用會議=2001 Ninth National Conference on Fuzzy Theory and Its Applications
會議地點 桃園縣, 臺灣
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.
關鍵字 Fuzzy system;Speech classification;Entropy
語言 en
收錄於
會議性質 國內
校內研討會地點
研討會時間 20011123~20011124
通訊作者
國別 TWN
公開徵稿 Y
出版型式 紙本
出處 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
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