Mandarin Keyword Spotting Using Right-context-dependent Initial-Final Models

碩士 === 國立交通大學 === 電信工程系 === 88 === In this thesis, the context-dependent initial-final models are used to construct both the keywords and filler models in order to improving the performance of Mandarin keyword spotting system. The decision tree clustering method is used to find the right-context-dep...

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Bibliographic Details
Main Authors: Ke-Shiu Chen, 陳科旭
Other Authors: Yih-Ru Wang
Format: Others
Language:zh-TW
Published: 2000
Online Access:http://ndltd.ncl.edu.tw/handle/57000987863906144358