The Journal of Engineering Research (공학논문집)

Engineering Research Center Paichai University (배재대학교 공학연구소)
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Comparion of Noise Suppression Methods in Voice CODEC

음성코덱에서의 잡음제거 방식 비교

  • Lee, Jin-Geol (Division of Computer, Electronic, and Information Engineering, Paichai University)
  • 이진걸 (배재대학교 컴퓨터전자정보통신공학부)
  • Published : 1998.12.30
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Abstract

Considerable research in the last three decades has examined the problem of enhancement of speech degraded by additive background noise. We compare traditional methods such as spectral subtraction and Wiener filter, recently proposed psychoacoustic model based methods such as perceptual filter and noise suppression in EVRC in terms of performance and complexity.

지난 30년간 부가 잡음에 의해 열화된 음성신호의 개선에 관해 많은 연구가 진행되어 왔다. 잡음제거를 위한 고전적인 방법인 spectral subtraction, Wiener filter와 최근에 제안된 심리음향모델에 근거한 perceptual filter, EVRC의 잡음제거단을 성능과 구현의 복잡도 측면에서 비교하였다.

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