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pro vyhledávání: '"Ke-Shiu Chen"'
Autor:
Ke-Shiu Chen, 陳科旭
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 fin
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 fin
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/57000987863906144358
Autor:
Sen-Chia Chang, Jia-Jang Tu, Shan-Ruei You, Shih-Chieh Chien, Jeng Shien Lin, Ke-Shiu Chen, Chih-Hsing Hsu
Publikováno v:
ISCSLP
Base on our former experience in the "ITRI 104 Auto Attendant System" of using keyword spotting for Mandarin speech recognition (W.-C. Shieh et al., CCL Technical Journal, vol. 96), a Chinese-English mixed-lingual keyword spotting system, which cater
Publikováno v:
The Journal of the Acoustical Society of America. 130:4183
A method and system for pronunciation assessment based on distinctive feature analysis is provided. It evaluates a user's pronunciation by one or more distinctive feature (DF) assessor. It may further construct a phone assessor with DF assessors to e
Autor:
Shan-Ruei You, Shih-Chieh Chien, Chih-Hsing Hsu, Ke-Shiu Chen, Jia-Jang Tu, Jeng Shien Lin, Sen-Chia Chang
Publikováno v:
2004 International Symposium on Chinese Spoken Language Processing; 2004, p237-240, 4p