@article{ART001518216},
author={이광석 and 김현주},
title={Performance Evaluation for Speech Recognition and Extraction of the Speech Characteristic Vector by using the Principal Component Analysis Method},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2010},
volume={5},
number={6},
pages={239-245}
TY - JOUR
AU - 이광석
AU - 김현주
TI - Performance Evaluation for Speech Recognition and Extraction of the Speech Characteristic Vector by using the Principal Component Analysis Method
JO - Journal of Knowledge Information Technology and Systems
PY - 2010
VL - 5
IS - 6
PB - Korea Knowledge Information Technology Society
SP - 239
EP - 245
SN - 1975-7700
AB - The new method of characteristic extraction is proposed, considering the statistic characteristic of human speech, unlike the conventional methods of the traditional speech characteristic extraction. PCA(Principal Component Analysis) is applied to new this method. Then, the new method is applied to real speech recognition to assess performance. When results of the number recognition in this research and the conventional Mel-cepstrum of speech characteristic parameter are compared, there is 0.5% difference of recognition rate. Better recognition rate is expected than word or sentence recognition in that less convergence time than the conventional method in extracting speech characteristic. Also, Better recognition rate is expected when the optimum vector is used by statistic characteristic of data.
KW - Speech Signal Processing;Principal Component Analysis;Feature Extraction;Speech Recognition
DO -
UR -
ER -
이광석 and 김현주. (2010). Performance Evaluation for Speech Recognition and Extraction of the Speech Characteristic Vector by using the Principal Component Analysis Method. Journal of Knowledge Information Technology and Systems, 5(6), 239-245.
이광석 and 김현주. 2010, "Performance Evaluation for Speech Recognition and Extraction of the Speech Characteristic Vector by using the Principal Component Analysis Method", Journal of Knowledge Information Technology and Systems, vol.5, no.6 pp.239-245.
이광석, 김현주 "Performance Evaluation for Speech Recognition and Extraction of the Speech Characteristic Vector by using the Principal Component Analysis Method" Journal of Knowledge Information Technology and Systems 5.6 pp.239-245 (2010) : 239.
이광석, 김현주. Performance Evaluation for Speech Recognition and Extraction of the Speech Characteristic Vector by using the Principal Component Analysis Method. 2010; 5(6), 239-245.
이광석 and 김현주. "Performance Evaluation for Speech Recognition and Extraction of the Speech Characteristic Vector by using the Principal Component Analysis Method" Journal of Knowledge Information Technology and Systems 5, no.6 (2010) : 239-245.
이광석; 김현주. Performance Evaluation for Speech Recognition and Extraction of the Speech Characteristic Vector by using the Principal Component Analysis Method. Journal of Knowledge Information Technology and Systems, 5(6), 239-245.
이광석; 김현주. Performance Evaluation for Speech Recognition and Extraction of the Speech Characteristic Vector by using the Principal Component Analysis Method. Journal of Knowledge Information Technology and Systems. 2010; 5(6) 239-245.
이광석, 김현주. Performance Evaluation for Speech Recognition and Extraction of the Speech Characteristic Vector by using the Principal Component Analysis Method. 2010; 5(6), 239-245.
이광석 and 김현주. "Performance Evaluation for Speech Recognition and Extraction of the Speech Characteristic Vector by using the Principal Component Analysis Method" Journal of Knowledge Information Technology and Systems 5, no.6 (2010) : 239-245.
