Korean Speaker Verification Using Speaker Adaptation Methods

화자 적응 기술을 이용한 한국어 화자 확인

  • 최동진 (한국과학기술원 전자전산학과 전산학전공) ;
  • 오영환 (한국과학기술원 전자전산학과 전산학전공)
  • Published : 2006.05.01

Abstract

Speaker verification systems can be implemented using speaker adaptation methods if the amount of speech available for each target speaker is too small to train the speaker model. This paper shows experimental results using well-known adaptation methods, namely Maximum A Posteriori (MAP) and Maximum Likelihood Linear Regression (MLLR). Experimental results using Korean speech show that MLLR is more effective than MAP for short enrollment utterances.

Keywords