第22回 ロボット聴覚特集 - 奥乃研究室 - 京都大学

a) 90 b) 90 MFMc) d) MFMe) 90 f) 90 MFMFigure 2: MFM X n (k,l)GeometricsourceseparationStationarynoiseestimationY m (k,l)Interferenceleakestimationλ m leak (k,l)+λ m stat. (k,l)AttenuationruleSNR & speechprobatilityestimationλ m (k,l)Figure 1: post-filter S^ m (k,l) post-filter post-filter [12]GeometricSource Separation, GSS post-filter [13]Figure 1GSS GSS Figure 1 X n (k, i) n GSS Y m (k, i) GSS m Ŝm(k, i) post-filter m G m (k, i) Ŝm(k, i) =G m (k, i)Y m (k, i)MFM i =1, ···, N 2 M(k, i) k post-filter Y (k, i). Ŝ(k, i) post-filter N(k, i) 2 1 0 T 0.25 { )1,(Ŝ(k, i)+N(k, i) /Y (k, i) >TM(k, i) =0, otherwiseMFM i = N 2 +103