A study on Effective Feature Parameters Comparison for Speaker Recognition

화자인식에 효과적인 특징벡터에 관한 비교연구

  • 박태선 (한국정보통신대학원대학교) ;
  • 김상진 (한국정보통신대학원대학교) ;
  • 문광 (한국정보통신대학원대학교) ;
  • 한민수 (한국정보통신대학원대학교)
  • Published : 2003.05.01


In this paper, we carried out comparative study about various feature parameters for the effective speaker recognition such as LPC, LPCC, MFCC, Log Area Ratio, Reflection Coefficients, Inverse Sine, and Delta Parameter. We also adopted cepstral liftering and cepstral mean subtraction methods to check their usefulness. Our recognition system is HMM based one with 4 connected-Korean-digit speech database. Various experimental results will help to select the most effective parameter for speaker recognition.