Title :
Design of vocabulary-independent Mandarin keyword spotters
Author :
Liu, Chi-Min ; Chiu, Chin-Chih ; Chang, Hung-Yuan
Author_Institution :
Inst. of Comput. Sci. & Inf. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fDate :
7/1/2000 12:00:00 AM
Abstract :
This paper considers the design of a vocabulary-independent keyword spotter for Mandarin speech according to the framework by Huang et al. (1994). This paper considers three varieties of filler model structures for the framework based on subsyllabic grammar of Mandarin speech. On the basis of the three structures, we infer the problems of this framework through three arguments and presents two methods to modify the spotting vehicle
Keywords :
natural languages; speech recognition; Mandarin speech; design; filler model structures; subsyllabic grammar; vocabulary-independent Mandarin keyword spotters; Computer science; Degradation; Hidden Markov models; Natural languages; Speech recognition; Tail; Testing; Vehicles; Vocabulary;
Journal_Title :
Speech and Audio Processing, IEEE Transactions on
