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
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