Title :
The research of speaker recognition based on GMM and SVM
Author :
Bao, Huo Chun ; Juan, Zhang Cai
Author_Institution :
Dept. of Electron. & Inf. Eng., Liaoning Univ. of Technol., Jin Zhou, China
fDate :
June 30 2012-July 2 2012
Abstract :
GMM and SVM models with different advantages and disadvantages were often used in speaker recognition system. The Principle and the characteristics of SVM and GMM were analyzed in paper. The method of combining the advantages of GMM and SVM as the speaker recognition model, mean parameters of GMM as SVM input, which not only can realize an accurate description of the speaker voice characteristics with fewer parameters, but also can achieve the purpose of compressed data for SVM. Experimental results shown the speaker recognition system based on GMM and SVM can effectively improve recognition rate.
Keywords :
Gaussian processes; speaker recognition; support vector machines; GMM models; Gaussian mixture model; SVM models; speaker recognition system; speaker voice characteristics; Biological system modeling; Feature extraction; Speaker recognition; Speech; Speech recognition; Support vector machines; Training; GMM; SVM; Speaker recognition;
Conference_Titel :
System Science and Engineering (ICSSE), 2012 International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-1-4673-0944-8
Electronic_ISBN :
978-1-4673-0943-1
DOI :
10.1109/ICSSE.2012.6257210
