Probabilistic Target Speech Detection and Its Application to Multi-Input-Based Speech Enhancement

확률적 목표 음성 검출을 통한 다채널 입력 기반 음성개선

  • 이영재 (경상대학교 전자공학과) ;
  • 김수환 (경상대학교 전자공학과) ;
  • 한승호 (한국과학기술원 정보통신공학과) ;
  • 한민수 (한국과학기술원 정보통신공학과) ;
  • 김영일 (경상대학교 전자공학과) ;
  • 정상배 (경상대학교 전자공학과)
  • Published : 2009.09.30


In this paper, an efficient target speech detection algorithm is proposed for the performance improvement of multi-input speech enhancement. Using the normalized cross correlation value between two selected channels, the proposed algorithm estimates the probabilistic distribution function of the value from the pure noise interval. Then, log-likelihoods are calculated with the function and the normalized cross correlation value to detect the target speech interval precisely. The detection results are applied to the generalized sidelobe canceller-based algorithm. Experimental results show that the proposed algorithm significantly improves the speech recognition performance and the signal-to-noise ratios.