빔포밍 성능 향상을 위한 여기신호 상호 상관도를 이용한 통계적 목적신호 검출 Statistical Target Signal Detection using Residual Cross Correlation for Performance Improvement of Beamforming

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dc.contributor.author홍, 정표-
dc.contributor.author한, 승호-
dc.contributor.author정, 상배-
dc.contributor.author한, 민수-
dc.contributor.authorHong, Jungpyo-
dc.contributor.authorHan, Seungho-
dc.contributor.authorJeong, Sangbae-
dc.contributor.authorHahn, Minsoo-
dc.date.accessioned2010-05-12T07:49:01Z-
dc.date.available2010-05-12T07:49:01Z-
dc.date.issued2008-11-
dc.identifier.citation대한음성학회, 한국음성과학회 공동학술대회, pp.203-206en
dc.identifier.urihttp://society.kisti.re.kr/~kass/-
dc.identifier.urihttp://hdl.handle.net/10203/18241-
dc.description.abstractTarget signal detection(TSD) is important because it directly affects the performance of generalized sidelobe canceller(GSC) which is widely used for noise reduction. The main problem is that the fluctuation of the non-stationary noise causes it to decrease that the accuracy of the adaptation mode control(AMC) of GSC which decides adaptive filter update. Thus, we propose the speech absence probability (SAP)-based TSD. It is statistical modeling of speech and noise using cross correlation of LP residual of two inputs It is validated that the proposed algorithm achieves the improvement of speech recognition rate.en
dc.language.isokoen
dc.publisher한국음성학회en
dc.title빔포밍 성능 향상을 위한 여기신호 상호 상관도를 이용한 통계적 목적신호 검출en
dc.title.alternativeStatistical Target Signal Detection using Residual Cross Correlation for Performance Improvement of Beamformingen
dc.typeBooken
dc.language.Alternativeen_USen

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