Speaker Verification System Using Support Vector Machine

SVM을 이용한 화자인증 시스템

  • 최우용 (한국전자통신연구원 정보보호연구본부) ;
  • 이경희 (한국전자통신연구원 정보보호연구본부) ;
  • 정용화 (한국전자통신연구원 정보보호연구본부)
  • Published : 2002.06.01

Abstract

There is a growing interest in speaker verification, which verifies someone by his/her voices. This paper explains the traditional text-dependent speaker verification algorithms, DTW and HMM. This paper also introduces SVM and how this can be applied to speaker verification system. Experiments were conducted with Korean database using these algorithms. The results of experiments indicated SVM is superior to other algorithms. The EER of SVM is only 0.5% while that of HMM is 5.4%.

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