第22回 ロボット聴覚特集 - 奥乃研究室 - 京都大学

2 : GJ [2],[3]SSA SSA DS SSA GJ GJ 2.1 GJ GJ 1 x j (t) (j =1, ,J) J GJ GJ z(t) Z(k) =Y DS (k) − A T ADF(k)Y SUB (k) (1)T k Y DS (k) DS Y SUB (k) =[Y1 SUB (k), ···,YJ−1 SUB(k)]TA ADF (k) =[A ADF1 (k), ···,A ADFJ−1 (k)]T (LMS) |Z(k)| 2 A (h+1)ADF(k) =A(h)ADF (k)+μ·Z(h) (k)Y (h)SUB(k) (2)μ (h) 2.2 GJ GJ (2) J − 1 DS GJ GJ SSA 3 SSA[1]3.1 SSA 2 x j (t)(j =1, ,J) User’sSpeechθd sinθNoisex 1() t()PhaseCompensationMain Passd FFY DS( k)θ∑x JtT+-+-YSUB,1YSUB,J -1( k)( k)J-1 chAdaptiveFilter+∑Reference Pass-Z( k)Figure 1: GJ User’sPhase Main PassSpeechx 1() t Compensationm()1θFY()kLogdMel-scale+SpectralTransformF θ ∑ Filterd sinθSubtract andTBankDCTx J() tm( L)Z()kNoiseBeam-FormerMel-scaleFilterBankReference Pass-Figure 2: SSA IFFTz() tMFCC()iJ Y (k) θZ(k) SSA GJ DS SSA MFCC [4] SSA Y (k) Z(k) 3.2 [4]SSA MFCC L W (k; l) (l =1, ···,L) 3 ⎧k − k lo (l) (⎪⎨klo (l)≤k≤k c (l) )W (k; l) =k c (l) − k lo (l)k hi (l) − k (⎪⎩kc (l)≤k≤k hi (l) ) (3)k hi (l) − k c (l)30