Variables

liatools.cpp File Reference

#include "liatools.h"
Include dependency graph for liatools.cpp:

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Variables

bool LIA_SPKTOOLS_API verbose = false
bool LIA_SPKTOOLS_API debug = false
long LIA_SPKTOOLS_API verboseLevel = 0

Variable Documentation

bool LIA_SPKTOOLS_API debug = false
bool LIA_SPKTOOLS_API verbose = false

Definition at line 56 of file liatools.cpp.

Referenced by FactorAnalysisStat::_init(), TabWeight::_nbTopDyn(), accumulateStatEM(), adaptModel(), adaptModelEM(), adaptModelEMweightedFrames(), baggedSegments(), bestFittingCluster(), bestFittingSegment(), bicCrit(), clrCrit(), clusteringCriterion(), clusteringCriterionByAdapt(), clusteringCriterionWithoutWorldInit(), cohortMaxLikelihood(), TopGauss::compute(), FactorAnalysisStat::computeAndAccumulateGeneralFAStats(), computeAndStoreZnormParam(), computeEnergyThreshold(), computeFastLLR(), computeLLR(), computeLLRGD(), computeMAPmodelFromEMones(), computeMAPOccDep(), computeMLLR(), computeModelBasedMAPOccDep(), ComputeNorm(), computePriors(), ComputeTest(), ComputeTestByLabel(), ComputeTestFA(), ComputeTestHisto(), ComputeTestJFA(), ComputeTestLFA(), ComputeTestNAP(), computeWeightedLLR(), computeZeroOne(), CovIntra(), crossValid(), SequenceDecoder::decode(), definesParameter(), deltabicCrit(), displayAllSegmentsFromRef(), EigenChannel(), energyDetector(), FactorAnalysisStat::estimateAndInverseLUnThreaded(), FactorAnalysisStat::estimateXForKnownSpeaker(), FactorAnalysisStat::estimateXYAndNorm(), featMap(), featureChannelCompNAP(), featWarp(), findMaxEnergyDistrib(), findMinEnergyDistrib(), fuseMAP(), GaussianConfusionMatrix(), TopGauss::get(), FactorAnalysisStat::getFactorAnalysisModel(), FactorAnalysisStat::getLLK(), getSegmentalMeanCovWithoutMax(), FactorAnalysisStat::getSessionModel(), getTarClientIdx(), FactorAnalysisStat::getTrueSpeakerModel(), getUbmOffset(), FactorAnalysisStat::getUEstimateUnThreaded(), FactorAnalysisStat::getXEstimate(), FactorAnalysisStat::getYEstimate(), gllrCrit(), GMMTokenizer(), infoFeat(), InfoTarget(), interCluster(), interSeg(), intraCluster(), labelFusion(), labelMorphing(), labelNGram(), learnEMimpostorModels(), learnMAPimpostorModels(), FactorAnalysisStat::loadAccs(), loadBck(), loadClusterFile(), TabClientLine::loadLine(), main(), makeGausHisto(), mixtureInit(), modelBasedadaptModel(), modelBasedadaptModelEM(), morphologicalFilter(), FactorAnalysisStat::normalizeFeatures(), normalizeScore(), normFeat(), normFeatFA(), normFeatLFA(), normFeatNAP(), normFeatOnlineMode(), outputDSM(), outputFeatureFile(), outputWeightVector(), PolyExpand(), predict(), TopGauss::read(), readProblem(), FactorAnalysisStat::resetAcc(), FactorAnalysisStat::restoreAccs(), FactorAnalysisStat::saveAccs(), Scoring(), sequenceExtractor(), FactorAnalysisStat::setYFromModel(), ShiftedDeltaFeat(), FactorAnalysisStat::storeAccs(), FactorAnalysisStat::substractChannelStats(), FactorAnalysisStat::substractSpeakerStats(), svmPredict(), svmPredictTnorm(), svmTrain(), trainModel(), trainModelStream(), TrainTarget(), TrainTargetAdapt(), TrainTargetByLabel(), TrainTargetFA(), TrainTargetJFA(), TrainTargetLFA(), trainWorld(), varianceControl(), verifyClusterFile(), JFAAcc::verifyEMLK(), verifyEMLK(), WarpScores(), WMAPGMM(), WMAPGMMFixedPriors(), and TopGauss::write().

long LIA_SPKTOOLS_API verboseLevel = 0

Definition at line 58 of file liatools.cpp.

Referenced by FactorAnalysisStat::_init(), adaptModel(), adaptModelEM(), adaptModelEMweightedFrames(), addSegment(), baggedSegments(), bestFittingSegment(), clrCrit(), cohortMaxLikelihood(), JFAAcc::computeAndAccumulateJFAStat(), JFAAcc::computeAndAccumulateJFAStatUnThreaded(), computeAndStoreZnormParam(), computeFastLLR(), computeLLR(), computeLLRGD(), computeMAPmodelFromEMones(), computeMLLR(), computeNAPChannelEffect(), ComputeNorm(), computePriors(), ComputeTest(), ComputeTestFA(), ComputeTestJFA(), ComputeTestLFA(), ComputeTestNAP(), computeWeightedLLR(), computeWindowParam(), CovIntra(), crossValid(), displayAllSegments(), displayAllSegmentsFromRef(), energyDetector(), JFAAcc::estimateAndInverseLUnThreaded_EC(), JFAAcc::estimateAndInverseLUnThreaded_EV(), JFAAcc::estimateAndInverseLUnThreaded_VU(), JFAAcc::estimateU(), JFAAcc::estimateUEUTUnThreaded(), JFAAcc::estimateVEVTUnThreaded(), JFAAcc::estimateVUEVUTUnThreaded(), JFAAcc::estimateXandUUnThreaded(), JFAAcc::estimateXUnThreaded(), JFAAcc::estimateYandVUnThreaded(), JFAAcc::estimateYUnThreaded(), JFAAcc::estimateYX(), JFAAcc::estimateZ(), JFAAcc::estimateZandD(), JFAAcc::estimateZMAP(), fuseMAP(), JFAAcc::getLLK(), gllrCrit(), JFAAcc::initEV(), interCluster(), intraCluster(), NGram::load(), loadBck(), loadClusterFile(), loadLabelFile(), main(), modelBasedadaptModel(), modelBasedadaptModelEM(), Norm::moveEntity(), normalizeScore(), normFeat(), projectOnSubSpace(), TopGauss::read(), removeOffsetOnFrame(), JFAAcc::resetAcc(), JFAAcc::restoreAccs(), JFAAcc::saveAccs(), sequenceExtractor(), ShiftedDeltaFeat(), JFAAcc::storeAccs(), JFAAcc::substractMplusDZByChannel(), JFAAcc::substractMplusDZUnThreaded(), JFAAcc::substractMplusUX(), JFAAcc::substractMplusVUYX(), JFAAcc::substractMplusVYplusDZUnThreaded(), JFAAcc::substractMplusVYUnThreaded(), FactorAnalysisStat::substractSpeakerStats(), JFAAcc::substractUXUnThreaded(), svmPredict(), svmPredictTnorm(), svmTrain(), trainModel(), trainModelStream(), TrainTargetAdapt(), TrainTargetJFA(), TrainTargetLFA(), trainWorld(), JFAAcc::verifyEMLK(), WMAPGMM(), and WMAPGMMFixedPriors().