Proceedings of the KSPS conference (대한음성학회:학술대회논문집)

The Korean Society Of Phonetic Sciences And Speech Technology (대한음성학회)
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Robust Speaker Identification Exploiting the Advantages of PCA and LDA

주성분분석과 선형판별분석의 장점을 이용한 강인한 화자식별

  • Kim, Min-Seok (School of Computer Science, University of Seoul) ;
  • Yu, Ha-Jin (School of Computer Science, University of Seoul) ;
  • Kim, Sung-Joo (School of Computer Science, University of Seoul)
  • 김민석 (서울시립대학교 컴퓨터과학부) ;
  • 유하진 (서울시립대학교 컴퓨터과학부) ;
  • 김승주 (서울시립대학교 컴퓨터과학부)
  • Published : 2007.05.18
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Abstract

The goal of our research is to build a textindependent speaker identification system that can be used in mobile devices without any additional adaptation process. In this paper, we show that exploiting the advantages of both PCA(Principle Component Analysis) and LDA(Linear Discriminant Analysis) can increase the performance in the situation. The proposed method reduced the relative recognition error by 13.5%

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