DocumentCode :
1978069
Title :
Double order hybrid optimum codebook design for speaker recognition
Author :
Zhou, Di ; Wang, Honghui ; Zhang, Zhuanxia ; Li, Yongming ; Lai, Han
Author_Institution :
Sichuan Univ. of Arts & Sci., Sichun, China
fYear :
2011
fDate :
16-18 Sept. 2011
Firstpage :
4464
Lastpage :
4467
Abstract :
Codebook design is important part of speaker recognition, and it is important research direction how to fast realize precise codebook design. Currently, there are two research methods. They are codebook design methods based on local optimization algorithms and global optimization algorithms. They have drawbacks to some extent for different speakers. Based on it, this paper proposed a double order hybrid optimum codebook design algorithm. This algorithm combines the two representative research methods, realize two codebook design algorithm based on GA (genetic algorithm) and LBG (linde-buzo-gray algorithm) +GA in parallel and obtain final optimum codebook by combination judgment. The experimental results show that, this algorithm can obtain better recognition accuracy and more stable recognition rate.
Keywords :
genetic algorithms; speaker recognition; speech coding; GA; LBG; Linde-Buzo-Gray algorithm; codebook design methods; combination judgment; double order hybrid optimum codebook design algorithm; genetic algorithm; global optimization algorithms; local optimization algorithms; recognition accuracy; recognition rate; representative research methods; speaker recognition; Algorithm design and analysis; Educational institutions; Genetic algorithms; Mel frequency cepstral coefficient; Optimization; Quantization; Speaker recognition; codebook design; double order; genetic algorithm; hybrid; speaker recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
Type :
conf
DOI :
10.1109/ICECENG.2011.6057289
Filename :
6057289
Link To Document :
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