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Time-Frequency Domain Impulsive Noise Detection System in Speech Signal

음성 신호에서의 시간-주파수 축 충격 잡음 검출 시스템

  • 최민석 (연세대학교 전기전자공학과) ;
  • 신호선 (연세대학교 전기전자공학과) ;
  • 황영수 (관동대학교 전자정보통신공학부) ;
  • 강홍구 (연세대학교 전기전자공학과)
  • Received : 2010.11.29
  • Accepted : 2011.02.01
  • Published : 2011.02.28

Abstract

This paper presents a new impulsive noise detection algorithm in speech signal. The proposed method employs the frequency domain characteristic of the impulsive noise to improve the detection accuracy while avoiding the false-alarm problem by the pitch of the speech signal. Furthermore, we proposed time-frequency domain impulsive noise detector that utilizes both the time and frequency domain parameters which minimizes the false-alarm problem by mutually complementing each other. As the result, the proposed time-frequency domain detector shows the best performance with 99.33 % of detection accuracy and 1.49 % of false-alarm rate.

본 논문에서는 음성 신호를 녹음하는 과정에서 발생하는 충격 잡음의 위치를 검출하는 새로운 알고리즘을 제안하였다. 제안한 방법은 충격 잡음의 주파수 축 특성을 반영하여 기존의 방법에 비해 높은 검출 정확도를 가지면서 음성의 피치를 충격 잡음과 구분하지 못하는 문제를 해결하였다. 또한, 시간 축, 주파수 축 파라미터의 단점을 상호 보완하여 false-alarm 문제를 최소화하는 시간-주파수 축 충격 잡음 검출 시스템을 제안하였다. 실제 녹음된 충격 잡음을 이용한 실험 결과, 제안한 시간-주파수 축 충격 잡음 검출기는 99.33 %의 가장 높은 검출 정확도와 1.49 %의 가장 낮은 false-alarm 비율을 나타내었다.

Keywords

References

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  2. Transient Noise Reduction in Speech Signal Utilizing a Long-term Predictor vol.31, pp.1, 2012, https://doi.org/10.7776/ASK.2012.31.1.029
  3. Restoration for Speech Records Managed by the National Archives of Korea vol.32, pp.3, 2013, https://doi.org/10.7776/ASK.2013.32.3.269