DocumentCode :
3406555
Title :
Application of probability density estimation criteria in speaker recognition
Author :
Wang, Run-Duo ; Zhou, Ping ; Jing, Xin-Xing
Author_Institution :
Sch. of Comput. Sci. & Eng., Guilin Univ. of Electron. Technol., Guilin, China
fYear :
2010
fDate :
22-24 Oct. 2010
Firstpage :
475
Lastpage :
478
Abstract :
With the rapid development of computer technology, speaker recognition has been widely used and researched. In this paper, a traditional code book based on VQ algorithm was improved by applying in probability density estimation criteria method. Through the method, the problem of easily falling into local optimum existing in traditional LBG codebook can be well solved, and controlling operation can be easily achieved. Experimental results show that improved codebook algorithm has less distortion than traditional LBG algorithm.
Keywords :
probability; speaker recognition; vector quantisation; LBG codebook; VQ algorithm; code book; local optimum; probability density estimation; speaker recognition; vector quantization; Classification algorithms; Educational institutions; Quantization; optimal codebook design; probability density estimation criteria; speaker recognition; vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Integrated Systems (ICISS), 2010 International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-6834-8
Type :
conf
DOI :
10.1109/ICISS.2010.5656037
Filename :
5656037
Link To Document :
بازگشت