한국정보통신학회논문지 (Journal of the Korea Institute of Information and Communication Engineering)

  • 제18권6호
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  • Pages.1302-1309
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  • 2014
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  • 2234-4772(pISSN)
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  • 2288-4165(eISSN)
한국정보통신학회 (The Korea Institute of Information and Commucation Engineering)
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MUSIC 및 반향 성분 제거 기법을 이용한 음성신호의 입사각 추정

Direction-of-Arrival Estimation of Speech Signals Based on MUSIC and Reverberation Component Reduction

  • Chang, Hyungwook (Department of Electronics Engineering, Gyeongsang National University) ;
  • Jeong, Sangbae (Department of Electronics Engineering, Gyeongsang National University) ;
  • Kim, Youngil (Department of Electronics Engineering, Gyeongsang National University)
  • 투고 : 2014.04.17
  • 심사 : 2014.05.14
  • 발행 : 2014.06.30
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초록

본 논문에서는 다중 신호 분류 기반의 음성신호의 입사각 추정 향상 방법을 제안한다. 기본적으로 제안한 방식은 복소 대역통과 필터를 이용하여 신호 분석을 위한 협대역 신호를 생성한다. 또한, 공간 스펙트럼에서의 반향 성분 제거 및 2차 함수 기반의 응답 근사화를 사용하여 추정 각도의 정확도를 향상시켰다. 실험결과 제안한 방법은 일반화된 상호상관도 방식의 입사각 추정 알고리즘보다 검출 오차 및 검출 성공률 측면에서 더 좋은 성능을 보였다.

In this paper, we propose a method to improve the performance of the direction-of-arrival (DOA) estimation of a speech source using a multiple signal classification (MUSIC)-based algorithm. Basically, the proposed algorithm utilizes a complex coefficient band pass filter to generate the narrow band signals for signal analysis. Also, reverberation component reduction and quadratic function-based response approximation in MUSIC spatial spectrum are utilized to improve the accuracy of DOA estimation. Experimental results show that the proposed method outperforms the well-known generalized cross-correlation (GCC)-based DOA estimation algorithm in the aspect of the estimation error and success rate, respectively.Abstract should be placed here. These instructions give you guidelines for preparing papers for JICCE.

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참고문헌

  1. R. Schmidt, "Multiple emitter location and signal parameter estimation," IEEE Trans. Antenna and Propagation, vol. AP-34, no. 3, pp. 276-280, 1986.
  2. I. Frire and J. Apolinario, "DoA of gunshot signals in a spatial microphone array: Performance of the interpolated Generalized Cross-Correlation method," Argentine School of Micro-Nanoelectronics Technology and Applications (EAMTA), pp. 1-6, 2011.
  3. S. Zhao, S. Ahmed, Y. Liang, D. Chen, and D. Jones, "A real-time 3D sound localization system with miniature microphone array for virtual reality," 7th IEEE Conference on Industrial Electronics and Applications (ICIEA), pp. 1853-1857, 2012.
  4. C. Knapp and G. Carter, "The generalized correlation method for estimation of time delay," IEEE Trans. Acoust. Speech Signal Process., vol. ASSP-24, no. 4, pp. 320-327, 1976.
  5. J. Benesity, J. Chen, and Y. Huang, Microphone Array signal processing, Springer-Verlag, 2008.
  6. A. Oppenheim and R. Shafer, Discrete-time signal processing, 3rd ed., Pearson, 2009.
  7. M. Hayes, Statistical digital signal processing and modeling, John Wiley and Sons Inc., 1996.