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@article{ART001417395},
author={안찬식 and 오상엽},
title={Efficient Continuous Vocabulary Clustering Modeling forTying Model Recognition Performance Improvement},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2010},
volume={15},
number={1},
pages={177-183}

TY - JOUR
AU - 안찬식
AU - 오상엽
TI - Efficient Continuous Vocabulary Clustering Modeling forTying Model Recognition Performance Improvement
JO - Journal of The Korea Society of Computer and Information
PY - 2010
VL - 15
IS - 1
PB - The Korean Society Of Computer And Information
SP - 177
EP - 183
SN - 1598-849X
AB - In continuous vocabulary recognition system by statistical method vocabulary recognition to be performed using probability distribution it also modeling using phoneme clustering for based sample probability parameter presume. When vocabulary search that low recognition rate problem happened in express vocabulary result from presumed probability parameter by not defined phoneme and insert phoneme and it has it's bad points of gaussian model the accuracy unsecure for one clustering modeling. To improve suggested probability distribution mixed gaussian model to optimized for based resemble Euclidean and Bhattacharyya distance measurement method mixed clustering modeling that system modeling for be searching phoneme probability model in clustered model. System performance as a result of represent vocabulary dependence recognition rate of 98.63%, vocabulary independence recognition rate of 97.91%.
KW - clustering modeling;phoneme modeling;tying model;gaussian model;vocabulary recognition
DO -
UR -
ER -

안찬식 and 오상엽. (2010). Efficient Continuous Vocabulary Clustering Modeling forTying Model Recognition Performance Improvement. Journal of The Korea Society of Computer and Information, 15(1), 177-183.

안찬식 and 오상엽. 2010, "Efficient Continuous Vocabulary Clustering Modeling forTying Model Recognition Performance Improvement", Journal of The Korea Society of Computer and Information, vol.15, no.1 pp.177-183.

안찬식, 오상엽 "Efficient Continuous Vocabulary Clustering Modeling forTying Model Recognition Performance Improvement" Journal of The Korea Society of Computer and Information 15.1 pp.177-183 (2010) : 177.

안찬식, 오상엽. Efficient Continuous Vocabulary Clustering Modeling forTying Model Recognition Performance Improvement. 2010; 15(1), 177-183.

안찬식 and 오상엽. "Efficient Continuous Vocabulary Clustering Modeling forTying Model Recognition Performance Improvement" Journal of The Korea Society of Computer and Information 15, no.1 (2010) : 177-183.

안찬식; 오상엽. Efficient Continuous Vocabulary Clustering Modeling forTying Model Recognition Performance Improvement. Journal of The Korea Society of Computer and Information, 15(1), 177-183.

안찬식; 오상엽. Efficient Continuous Vocabulary Clustering Modeling forTying Model Recognition Performance Improvement. Journal of The Korea Society of Computer and Information. 2010; 15(1) 177-183.

안찬식, 오상엽. Efficient Continuous Vocabulary Clustering Modeling forTying Model Recognition Performance Improvement. 2010; 15(1), 177-183.

안찬식 and 오상엽. "Efficient Continuous Vocabulary Clustering Modeling forTying Model Recognition Performance Improvement" Journal of The Korea Society of Computer and Information 15, no.1 (2010) : 177-183.