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

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Direction-of-Arrival Estimation of Speech Signals Based on MUSIC and Reverberation Component Reduction

MUSIC 및 반향 성분 제거 기법을 이용한 음성신호의 입사각 추정

  • 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)
  • Received : 2014.04.17
  • Accepted : 2014.05.14
  • Published : 2014.06.30
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Abstract

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.

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.

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References

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