教師資料查詢 | 類別: 期刊論文 | 教師: 蘇木春 SU MU-CHUN (瀏覽個人網頁)

標題:A neuro-fuzzy approach to speech recognition without time alignment
學年87
學期1
出版(發表)日期1998/08/16
作品名稱A neuro-fuzzy approach to speech recognition without time alignment
作品名稱(其他語言)
著者蘇木春; Su, Mu-chun; Hsieh, Ching-tang; Chin, Chieh-ching
單位淡江大學電機工程學系
出版者Medwell Journals
著錄名稱、卷期、頁數Fuzzy Sets and Systems 98(1), pp.33-41
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.
關鍵字Speech recognition;Neural networks;Pattern recognition;Expert system;Membership function
語言英文
ISSN0165-0114
期刊性質國外
收錄於
產學合作
通訊作者
審稿制度
國別荷蘭
公開徵稿
出版型式,電子版,紙本
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