Matching Pursuit Sinusoidal Modeling with Damping Factor

Damping 요소를 첨가한 매칭 퍼슈잇 정현파 모델링

  • Jeong, Gyu-Hyeok (Dept. of Radio Science & Engineering, Chungbuk National University) ;
  • Kim, Jong-Hark (Dept. of Radio Science & Engineering, Chungbuk National University) ;
  • Lim, Joung-Woo (Dept. of Radio Science & Engineering, Chungbuk National University) ;
  • Joo, Gi-Ho (Dept. of Informations and Communications Engineering, PaiChai University) ;
  • Lee, In-Sung (Dept. of Radio Science & Engineering, Chungbuk National University)
  • 정규혁 (충북대학교 전파공학과) ;
  • 김종학 (충북대학교 전파공학과) ;
  • 임정우 (충북대학교 전파공학과) ;
  • 주기호 (배재대학교 정보통신공학과) ;
  • 이인성 (충북대학교 전파공학과)
  • Published : 2007.01.25

Abstract

In this paper, we propose the matching pursuit with damping factors, a new sinusoidal model improving the matching pursuit, for the codecs based on sinusoidal model. The proposed model defines damping factors by using a correlativity of parameters between the current and adjacent frame, and estimates sinusoidal parameters more accurately in analysis frame by using the matching pursuit according to damping factor, and synthesizes the final signal. Then it is possible to model efficiently without interpolation schemes. The proposed sinusoidal model shows a better speech quality without an additional delay than the conventional sinusoidal model with interpolation methods. Through the SNR(signal to noise ratio), the MOS(Mean Opinion Score), LR(Itakura-Saito likelihood ratio), and CD(cepstral distance), we compare the performance of our model with that of matching pursuit using interpolation methods.

본 논문은 정현파 모델 기반의 코덱을 위한 매칭 퍼슈잇(Matching Pursuit)의 성능을 개선시킨 새로운 정현파 모델링을 제안한다. 제안하는 damping 요소를 첨가한 매칭 퍼슈잇 정현파 모델링은 과거와 현재 프레임에서 파라미터들간의 상관성을 이용하여 damping 요소를 정의하고 현재 프레임에서 보다 정확한 정현파 파라미터를 damping 요소에 따라 매칭 퍼슈잇 방법으로 추출한 후 합성한다. 따라서 인접 프레임과의 보간 없이 현재 프레임에서의 정현파 파라미터만으로 효율적인 모델링이 가능하다. 제안한 모델링 방법은 보간법을 사용한 일반적인 정현파 모델과 달리 추가지연을 가지지 않으면서 유성음 구간 신호뿐만 아니라 모든 구간에서 개선된 음질을 보인다. 제안한 모델링 방법의 성능을 SNR, MOS값, LR(Itakura-Saito likelihood ratio), CD(cepstral distance)를 통해 보간법을 사용한 매칭 퍼슈잇과 비교 평가한다.

Keywords

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