Distributed fuzzy rules for preprocessing of speech segmentation with genetic algorithm
學年 85
學期 2
發表日期 1997-07-01
作品名稱 Distributed fuzzy rules for preprocessing of speech segmentation with genetic algorithm
作品名稱（其他語言） 利用遺傳演算法以分散式模糊規則為基礎的語音切割的前處理
著者 Hsieh, Ching-tang; Lai, Eugene; Wang, You-chuang
作品所屬單位 淡江大學電機工程學系
出版者 IEEE Neural Networks Council; Artificial Intelligence Research Institute of the CSIC
會議名稱 Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
會議地點 Barcelona, Spain
摘要 Most of the speech segmentation works are based on the thresholds of parameters to segment the speech data into phonemic units or syllabic units. In this paper, we formulate the threshold decision as a clustering problem. Feature parameters extracted from the analysis frame are clustered into three types: silence, consonants, and vowels. Distributed fuzzy rules which have been used in clustering the numerical data are used for this task. The distributed fuzzy rules, which do not need many training data, have good performance in clustering problems and are beneficial for clustering the features of speech data. Such a method, however, has many fuzzy if-then rules. So, we propose a genetic-algorithm-based method for selecting a small number of significant fuzzy if-then rules to construct a compact fuzzy classification system with high classification power. Effectiveness of this approach has been substantiated by classification experiments for continuous radio news speech samples uttered by two females and two males
關鍵字
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 19970701~19970705
通訊作者
國別 ESP
公開徵稿 Y
出版型式
出處 Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on vol.1, pp.427-431
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/70619 )

機構典藏連結