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
fDate :
31 Aug.-4 Sept. 2004
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;
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
DOI :
10.1109/ICOSP.2004.1441587