• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2014, Vol. 36 ›› Issue (8): 1599-1603.

• 论文 • Previous Articles     Next Articles

Speaker recognition of abnormal
voice based on common vector          

HE Jun1,HE Qianhua2,ZHANG Qinghua1,SUN Guoxi1,XIAO Ming1,ZUO Jinglong1   

  1. (1.Guangdong University of Petrochemical Technology,Maoming 525000;
    2.School of Electronic and Information Engineering,South China University of Technology,Guangzhuo 510641,China)
  • Received:2012-11-01 Revised:2013-03-14 Online:2014-08-25 Published:2014-08-25

Abstract:

A speaker recognition algorithm of abnormal voice based on common vector is proposed to overcome the drawback that exists when the traditional common vector is calculated by using the predefined parameters. The proposed algorithm uses the system recognition ratio to adaptively adjust the parameters of calculating the common vector, takes the parameter with the highest system recognition ratio as the optimal parameter so as to extract the common vector, and uses the SVM Classifier to categorize the speakers of abnormal voice. Experimental results show that, by using the common vector extracted by the proposed algorithm, the speaker recognition ratio of slight cold is 85.4%, which has the improvement of 16.9%,15.2% and 3.2% respectively in comparison to the methods of GMM,SVM and ref[6].

Key words: abnormal voice;speaker recognition;common vector;SVM