Flexible selection of feature vectors for speaker identification

화자 인식을 위한 특징 벡터의 유연한 선택

  • 윤상민 (한국과학기술원 전자전산학과 전산학) ;
  • 박경미 (한국과학기술원 전자전산학과 전산학) ;
  • 김길연 (한국과학기술원 전자전산학과 전산학) ;
  • 오영환 (한국과학기술원 전자전산학과 전산학)
  • Published : 2007.05.18

Abstract

This paper proposes a flexible selection method of feature vectors for speaker identification. In speaker identification, overlapped region between speaker models lowers the accuracy. Recently, a method was proposed which discards overlapped feature vectors without regard to the source causing the overlap. We suggest a new method using both overlapped features among speakers and non-overlapped features to mitigate the overlap effects.

Keywords