Speech Sciences (음성과학)

Korean Society of Speech Sciences (한국음성학회)
권호 표지

A study on the Optimal Feature Extraction and Cmplex Adaptive Filter for a speech recognition

음성인식을 위한 복합형잡음제거필터와 최적특징추출에 관한 연구

  • 차태호 (한국생산기술연구원 산업기술교육센터 기획조정실) ;
  • 장승관 (한국산업기술대학교 전기전자공학과) ;
  • 최웅세 (한국산업기술대학교 전기전자공학과) ;
  • 최일홍 (진주전문대학 전자과) ;
  • 김창석 (명지대학교 전자정보통신공학부)
  • Published : 1998.11.01
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, a novel method of noise reduction of speech based on a complex adaptive noise canceler and method of optimal feature extraction are proposed. This complex adaptive noise canceler needs simply the noise detection, and LMS algorithm used to calculate the adaptive filter coefficient. The method of optimal feature extraction requires the variance of noise. The experimental results have shown that the proposed method effectively reduced noise in noisy speech. Optimal feature extraction has shown similar characteristics in noise-free speech.

Keywords