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H$`$(DHA$,H$@H$`LHH$ H$@H$fAooH$@H$ HL$0H$H$`fɺoH$`t:H$`HDŽ$`DŽ$hH$`4H H5H=HH$` HL$ H$H$`fɺoH$`ZH$`fZ.zt;(\T.w4.z/TTXY .rAEXH4H H5H=HH$`F$H$H$`LH$`H$H|$pH|$`H$H|$PH$H$H|$@H|$0H|$ $H$dH3%(H([]A\A]A^A_HH$H$H|$@H|$0H|$ HHH$HHH$@H$ H$H|$pH|$`H$H|$P>HHHHH"H5H:HAWAVAUATUSH8IHAωL$dH%(HD$(1HHHHEE(HD$ HT$ HAD$XD$ AD$HHI|$@DHHHHT$HHct$IT$XIL$PHH)HHHH9H9s_HvH HL$H9tCHAH)HH HHH!HDRL~BIHHcr HuhHD$@D$HD$LD$PHt$@HH H5H=H} ~A)H|$(LH{@LAD9u oMcIML}(AwLH{@HCHHS@H9t9JL$ H)HIHD$D$HHCXH|$@H H5H=IcHS0HK(HH)HHHH9wzH9sTHvLHĸ[]A\A]A^A_HT$(HB(f(Y XHzHHH=HH5H=Hkaldi::KaldiFatalErrorHHHHPHHHHPHHHHPHHHH@HHSHHH@HH[HHH@HHSHHH@HH[HHH@HHSHHH@HH[ivector-extractor.ccFloored eigenvalues of variance.!M_.empty()../matrix/kaldi-matrix.hmean.Dim() == IvectorDim()Per frame, auxf is: weight , gconst , mean , var , over frames.Acoustic auxf is /frame over frames, prior auxf is = per frame.Trace of quadratic is , condition is Trace of quadratic_inv is Auxf on iter is Current distribution mean is ../matrix/kaldi-vector.h... , var trace is On iter , iVector changed by scale >= 0.0 && scale <= 1.0tok == ""../matrix/sp-matrix.h!KALDI_ISNAN(ans)X_.NumCols() == feat_dimgamma_.Dim() == IQ_.NumRows() == 0G_.NumRows() == 0S_[i].NumRows() == Dnum_ivectors_ >= 0ivector_sum_.Dim() == SY_.size() == other.Y_.size()S_.size() == other.S_.size()the iVectors is . per frame, or per iVector.ivector_period > 0!S_.empty()var_floor_count > 0.0 eigenvalues of the For Gaussian index , floored was % of all Gaussian eigenvalues over , got Done.size > 0Eigenvalues of Vavg: num_ivectors_ > 0.0 to eigenvalues of covar of iVectors.Tproj.IsUnit(1.0e-06)sum_proj.Norm(2.0) != 0.0Vproj.IsUnit(1.0e-04)opts.ivector_dim > 0!Sigma_inv_.empty()i >= 0 && i < ISkipping Gaussian index because count is below min-count.[unknown]M per frame over was i >= 0 && i < num_gaussw for weights is -%OuI.5@}x+4dL"u"V*8/'<+j0'9WV&'cv,DcbEL\'Ls7OZ(M$5& $!&H m  7ZnA] >  e]w       1    =xTA,">%-L+ddN)/.}60H$G)/}g  MH] N      "3lG/S   3 B     ) eH+Y6U A    l 8 \T:#g&oX!zQD5d Z  K    <02i,a--TMG <02i,K%,<x|V 3M]bm?Q#<s  HHH@HHSHHH@HH[USH8HdH%(HD$(1HHHHs(HHHH@HEH<$HD$H9tHH5HHH<$HD$H9tHHHstatic_cast(i) < static_cast(num_rows_)var->NumRows() == IvectorDim()static_cast(origin)+ static_cast(length) <= static_cast(t.Dim())Setting iVector prior offset to extractor.IvectorDim() == this->IvectorDim()!extractor.IvectorDependentWeights()static_cast(r) < static_cast(this->num_rows_)ivector != NULL && ivector->Dim() == this->IvectorDim()Objective function improvement from estimating the iVector (vs. default value) is feats.NumRows() == static_cast(post.size())i >= 0 && i < num_gauss && "Out-of-range Gaussian (mismatched posteriors?)"Flushing cache for IvectorExtractorStatsconfig_.num_samples_for_weights > 1config_.num_samples_for_weights > 0static_cast(Y_.size()) == IY_[i].NumRows() == D && Y_[i].NumCols() == SR_.NumRows() == I && R_.NumCols() == S*(S+1)/2Q_.NumRows() == I && Q_.NumCols() == S*(S+1)/2G_.NumRows() == I && G_.NumCols() == Sstatic_cast(S_.size() == I)ivector_scatter_.NumRows() == Sconfig_.num_samples_for_weights == other.config_.num_samples_for_weightsThe proportion of within-Gaussian variance explained by Overall auxf improvement from prior is static_cast(post.size()) == feats.NumRows()opts.variance_floor_factor > 0.0 && opts.variance_floor_factor <= 1.0variance floor matrix. This is not expected. Maybe your feature data is linearly dependent.Objf impr/frame for variance for Gaussian index Overall objf impr/frame for variances was size == static_cast(Sigma_inv_.size())R_num_cached_ == 0 && "Please use the non-const Write()."Feature dimension mismatch, expected stats_opts.cache_size > 0 && "--cache-size=0 not allowed"Computing derived variables for iVector extractorEigenvalues of iVector covariance range from ApproxEqual(sum_vproj(0), sum_vproj.Norm(2.0))Objf impr for M for Gaussian index Overall objective function improvement for M (mean projections) Auxf impr/frame for Gaussian index Overall auxf impr/frame from weight update is Overall auxf/frame on training data was Overall objective-function improvement per frame was args->tail->tail == NULL../util/kaldi-thread.hSHHGpH8HHxH{Ht HH{HCH{HtHu"Hu:HCH;Hh[H H5H=ATUSIHoHH9tHHH9uI<$Ht[]A\ATUSHHGHH9t@HSH)HH HHH!HD@L$HHL9uH}Ht[]A\M != NULL../gmm/full-gmm-inl.hAWAVAUATUSHHdH%(HD$81Ht\HIWHw ALuHH$HuHHD$D$H|$H wH5H=} ILt$ L9]Lv+UHEPHHM@HHD$ T$(H|$LAT$AD$HI $HHD$ T$(HT$fLLH H5H=9] ~HcHHu(LH|$HHD$8dH3%(uHH[]A\A]A^A_H3thread_list_->tail == NULLSHHHt3HHHu0Ht HuCHǃH{hH{[H H5H=ATUSIH_HuTID$HI<$ID$ID$I<$I0L9t[]A\HHHtH+H{Ht ../base/io-funcs-inl.hWrite failure in WriteBasicType.SHHT$ dH%(H$1@tJHt$ HHH@D u?H$dH3%(H[Ët$ H5HH\$ A2H HHH{ H5Ht$ H|$HH|$@HReadBasicType: encountered end of stream.ReadBasicType: did not get expected integer type, . 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