DocumentCode
3351773
Title
Optimum vector quantization codebook design for speaker recognition
Author
Xin-Yi, Zhang ; Jin-Pei, Wu ; You-Wei, Zhang ; Qi-Shan, Zhang
Author_Institution
Sch. of Electron. Eng. & Inf., BeiHang Univ., Beijing, China
Volume
2
fYear
2004
fDate
31 Aug.-4 Sept. 2004
Firstpage
1397
Abstract
Vector quantization is a useful method that had been applied to diverse fields such as speaker recognition. This paper describes in detail how to get the optimum vector quantization codebook for the use of speaker recognition. Optimization depends on specific criterion or conditions. The optimization discussed here includes three level optimizations. Level one is locally optimization, level two is globally optimization, level three is personally optimization for speaker recognition.
Keywords
simulated annealing; speaker recognition; speech coding; vector quantisation; SA; optimization; simulated annealing; speaker recognition; vector quantization; Annealing; Face recognition; Fingerprint recognition; Hidden Markov models; Speaker recognition; Speech recognition; Support vector machine classification; Support vector machines; Testing; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN
0-7803-8406-7
Type
conf
DOI
10.1109/ICOSP.2004.1441587
Filename
1441587
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