English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 55025/89277 (62%)
造訪人次 : 10606263      線上人數 : 13
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    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/987654321/46169


    題名: A neuro-fuzzy approach to speech recognition without time alignment
    作者: 蘇木春;Su, Mu-chun;Hsieh, Ching-tang;Chin, Chieh-ching
    貢獻者: 淡江大學電機工程學系
    關鍵詞: Speech recognition;Neural networks;Pattern recognition;Expert system;Membership function
    日期: 1998-08-16
    上傳時間: 2010-03-26 21:07:54 (UTC+8)
    出版者: Medwell Journals
    摘要: Several successful approaches to speech recognition have been proposed. Most of them involve time alignment which requires substantial computation and considerable memory storage. In this paper, we present a neuro-fuzzy approach to speech recognition without time alignment. This approach is a powerful method for selecting reference templates; therefore, considerable memory storage is alleviated. In addition, it greatly reduces substantial computation in the matching process because it obviates time alignment. Base on this approach, a Mandarin speech recognition system without time alignment is implemented. Two databases were utilized for verifying its performance. An encouraging experimental result confirms the effectiveness of the proposed neuro-fuzzy approach to speech recognition without time alignment.
    關聯: Fuzzy Sets and Systems 98(1), pp.33-41
    DOI: 10.1016/S0165-0114(96)00375-2
    顯示於類別:[電機工程學系暨研究所] 期刊論文

    文件中的檔案:

    檔案 大小格式瀏覽次數
    0KbUnknown306檢視/開啟

    在機構典藏中所有的資料項目都受到原著作權保護.

    TAIR相關文章

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