Title :
An effective identification method for speaker recognition based on PCA and double VQ
Author :
Zhao, Zhen-dong ; Zhang, Jing ; Tian, Jing-feng ; Lou, Yun-yong
Author_Institution :
Dept. of Electron. & Commun. Eng., North China Electr. Power Univ., Baoding, China
Abstract :
Recognition rate is always the research focus in speaker recognition, however, recognition response speed also is the key which determines the practices of the system. For the phenomenon that recognition response speed is slow in large crowds, in this paper, a new recognition method is proposed, which takes advantage of that PCA classifier is simple and double VQ is real-time response: Firstly, PCA Classifier is used for preliminary classification, then make the final distinguishing using double VQ. In this way, the system´ recognition time greatly reduced. With the growth of registration speakers, compared with conventional speaker recognition method, the advantage of this method will be more apparent.
Keywords :
principal component analysis; speaker recognition; vector quantisation; PCA classifier; double vector quantization; principal component analysis; speaker recognition; Covariance matrix; Cybernetics; Delay; Eigenvalues and eigenfunctions; Machine learning; Principal component analysis; Real time systems; Space technology; Speaker recognition; Vector quantization; Double Vector Quantization; Principal Component Analysis; Speaker Recognition;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212249