| 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 | en |
| ISSN | 0165-0114 |
| 期刊性質 | 國外 |
| 收錄於 | |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | NLD |
| 公開徵稿 | |
| 出版型式 | ,電子版,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/46169 ) |
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