ELF>@ @@<; !"#34AWAVAUATUSHD$dH%(H$1Y DkD;iuWIII̅xg9}cHD$`H|$`AډH$AAٺL>H H5H=H H5H=H$H|$`pHt$8H|$`HD$@D$HH|$@DHDŽ$DŽ$;\$Hw*HD$@H$$Ht$`H$'H H5H=HLHcHD$@HHD$PD$XH|$PDHT$@H|$PfLHt$@H|$P$H|$PLf(D$$YYD$f(YXQT$ff.$$f(X\$f(|$\f(^f(fW\^D$f(t$ YXfTD$(,$Yl$f(XD$fT|$(DD$AYf( t$ f(YY$$Y\AYl$YYY\fTfUfVH|$@ H|$@LA9l$ vHAD$Al$HcI$HH$$HT$@H$fLHH H5H=HH|$PH|$@H|$`HH|$PH|$@H|$`H$dH3%(uHĨ[]A\A]A^A_HAWAVAUATUSHdH%(H$1H^(H+^ H\$;_ IHIDkD;oLt$0AAٺHLLoLLLcIJ fZf(Y YHE A܋x9DDDHcLH4Ht$SHHT$(Af|$Ht$PHt$Ht$pHt$ H bH5H=H dH5H=H nH5H=DD$ZH nH5H=DD$AH nH5H=H nH5H=t$9BЉHHcHf(Y\ʉEHLHUYXfZl$ <$.D$ \$XD$D$L9l$(AGHLIH fZf(Y YILHE xA9HHD$YˉD9A؋D$9ADMMcMLUCDHDDDHMcLf(Y$\YXfZ4$D9_ADL$D9[AAAHMcL\^ZZf(Y YLHU BA9)H H|$Y 9D92ދT$-H nH5H=AuH HH|$#H5H|$ fZD$ H|$ H5H|$ fZ$H|$ H|$HHPHT$pH@@H$HH@HD$xH$HD$HH9tHH@HD$xHD$Hx`HHPHT$pHRH@HDpHH@H$HD$HCft$D$H$dH3%(u'H[]A\A]A^A_HH|$pHAWAVAUATUSHdH%(H$1HHHDf8EMcHF(H+F HI9G D9Et$A9D;sEH DSHcf.z4u2HDAt$HHTf(H9H.@z.HtH H5H=H H5H=H H5H=WD9t AL$9"DpE9uFA)H H5H=DCHLH.zgueH|$ EADHHD$@L|$@ADDLH|$`EADLH H5H=Ht$ H|$`oD;st:DD$PHIHD$@H5J4HD$H|$DBE~D$PHLSHcLH3fZHT$@ƒD9uE~bAD$HHHD$L|$@Ll$HH} LHH9\$t%HHM fɺoLLHDŽ$H$ADDHHL$@H$fApoHH$oHH$H|$H|$@H$dH3%(uHHĨ[]A\A]A^A_HH$H|$H|$@HHHAWAVAUATUSH8dH%(HD$(1HIHn8f*f.ztoA9m EA;Eu{Ld$AALLLtfAEHHD$ALcAH H5H=H H5H=H H5H=ED9~viAGDDDHHcHH6f(Y \9RDCHHcHHSHf(YLHs D9vDAH yH5H=IL;d$tCEIUDAEHI LxYZMIZ`AEHHIUYZHHH{ HI9uHD$(dH3%(uH8[]A\A]A^A_AWAVAUATUSHxHIdH %(HL$h1H^(H+^ HH|$0oHHD$D$sH|$Ht$0H|$PAAٺA.l$H|$PYD$D$IvH|$0pf(Xd$d$'|$<tD{Ll$ H H5H=HH|$H|$0H9\$H yH5H=H yH5H=H{`H|$BHH|$ H|$HAUATUSHHHIIHuaLZXCpCpHu@H{P Lp(Hu(H{` Lp(H[]A\A]HLHAUATUSH8IHHD$ dH%(HD$(1v HD$D$Ld$LLHHD$H|$D$ HL$HHLH|$D$HD$(dH3%(u H8[]A\A]HH|$HAWAVAUATUSHHH|$HIHMdH%(HD$81H6LZHD$X@p@pIL$I$HH)HA9FH9PHD$HPHD$9CLHt$ Ht$L<SHCPHHK@HHD$ T$(LcIBHt$H|$HD$Hx`I$9C4S0C8HHK(HHD$ T$(IBHt$HI$ID$H)HH9BD:9CLRH H5H=L|$LHLH <H5H=H H5H=HD$8dH3%(uHH[]A\A]A^A_AUATUSH8D$dH%(HD$(1HH9Bt/IHHIHD$D$HL$LHH wH5H=H|$D$ H|$D$LD$LHHLH|$D$ HD$(dH3%(u H8[]A\A]HH|$HAWAVAUATUSHHIIdH%(H$1HHGHD$@HGGGGHG HG(HG0G8H@H|$PvHHE@EHHEPHD$XHEPEXHE`HD$`HE`EhNumCols() == dim + 1static_cast(origin)+ static_cast(length) <= static_cast(t.Dim())static_cast(i) < static_cast(num_rows_)in_xform.NumRows() == dim && in_xform.NumCols() == dim+1static_cast(r) < static_cast(this->num_rows_)Objf decrease in offset estimation:stats != NULL && stats->Dim() != 0stats->G_.size() == static_cast(dim)(xform.NumRows() == dim && xform.NumCols() == dim) || (xform.NumRows() == dim && xform.NumCols() == dim+1) || (xform.NumRows() == dim+1 && xform.NumCols() == dim+1)stats != NULL && stats->Dim() != 0.0xform.NumRows() == dim && xform.NumCols() == dim+1Computing diagonal fMLLR matrix: no stats [using original transform]out_xform->Range(0, dim, 0, dim).IsDiagonal()fMLLR objective function improvement = static_cast(dim) == this->G_.size()static_cast(gselect.size()) == posterior.Dim()!gselect.empty() && "Empty gselect information"gmm.NumGauss() == fgmm_accs.NumGauss() && gmm.Dim() == fgmm_accs.Dim()No applying fMLLR transform change because objective You must initialize the fMLLR matrix to a non-singular value (so we can report objective function changes); 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