Speech Feature based Double-talk Detector for Acoustic Echo Cancellation

반향제거를 위한 음성특징 기반의 동시통화 검출 기법

  • Park, Jun-Eun (Department of Electronics and Computer Engineering, Korea University) ;
  • Lee, Yoon-Jae (Department of Electronics and Computer Engineering, Korea University) ;
  • Kim, Ki-Hyeon (Department of Electronics and Computer Engineering, Korea University) ;
  • Ko, Han-Seok (Department of Electronics and Computer Engineering, Korea University)
  • 박준은 (고려대학교 전자 컴퓨터 공학과) ;
  • 이윤재 (고려대학교 전자 컴퓨터 공학과) ;
  • 김기현 (고려대학교 전자 컴퓨터 공학과) ;
  • 고한석 (고려대학교 전자 컴퓨터 공학과)
  • Published : 2009.06.30

Abstract

In this paper, a speech feature based double-talk detector method is proposed for an acoustic echo cancellation in hands-free communication system. The double-talk detector is an important element, since it controls the update of the adaptive filter for an acoustic echo cancellation. In previous research, the double talk detector is considered in the signal processing stage without taking the speech characteristics into account. However, in the proposed method, speech features which are used for the speech recognition is used for the discriminative features between the far-end and near-end speech. We obtained a substantial improvement over the previous double-talk detector methods using the only signal in time domain.

본 논문에서는 핸즈프리 통신에서의 반향제거를 위한 음성 특징 기반의 동시통화 검출 기법을 제안한다. 동시통화 검출은 반향제거를 위한 적응 필터의 적응을 제어하는 역할을 하기 때문에 매우 중요한 분야이다. 이전까지의 연구에서는 동시통화 검출을 음성의 특징에 대한 고려 없이 단순히 신호처리 영역에서만 이루어졌다. 하지만 제안한 기법에서는 음성인식으로 사용되는 음성 특징을 핸즈프리 통신상에서의 근단 화자와 원단화자 사이의 차별성을 가지는 특징으로 사용하였다. 제안한 방식이 시간 축에서의 파형만을 이용하여 판단하는 동시통화검출기보다 우수한 성능을 나타내는 것을 실험을 통하여 입증하였다.

Keywords

References

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