#include <alize.h>
#include "liatools.h"

Include dependency graph for UnsupervisedTools.h:

This graph shows which files directly or indirectly include this file:

Defines
#define	LIA_SPKTOOLS_API
Functions
LIA_SPKTOOLS_API void	accumulateStatLK (StatServer &ss, FeatureServer &fs, MixtureStat &acc, unsigned long idxBeginFrame, unsigned long nbFrames, Config &config)
LIA_SPKTOOLS_API void	accumulateStatLK (StatServer &ss, FeatureServer &fs, MixtureStat &acc, Seg *seg, Config &config)
LIA_SPKTOOLS_API void	accumulateStatLK (StatServer &ss, FeatureServer &fs, MixtureStat &acc, SegCluster &selectedSegments, Config &config)
LIA_SPKTOOLS_API void	adaptModelEM (Config &config, StatServer &ss, MixtureServer &ms, FeatureServer &fs, SegCluster &selectedSegments, MixtureGD &world, MixtureGD &clientMixture)
LIA_SPKTOOLS_API void	adaptModelEM (Config &config, StatServer &ss, MixtureServer &ms, FeatureServer &fs, SegCluster &selectedSegments, FeatureServer &fs2, SegCluster &selectedSegments2, MixtureGD &aprioriModel, MixtureGD &clientMixture, MAPCfg &mapCfg)
LIA_SPKTOOLS_API void	adaptModelEM (Config &config, StatServer &ss, MixtureServer &ms, FeatureServer &fs, SegCluster &selectedSegments, FeatureServer &fs2, SegCluster &selectedSegments2, MixtureGD &aprioriModel, MixtureGD &clientMixture)
LIA_SPKTOOLS_API void	adaptModelMAP (Config &config, StatServer &ss, MixtureServer &ms, MixtureGD &world, MixtureGD &clientMixture, unsigned long &frameCount)
LIA_SPKTOOLS_API void	adaptModelMAP (Config &config, StatServer &ss, MixtureServer &ms, MixtureGD &aprioriModel, MixtureGD &clientMixture, MAPCfg &mapCfg, unsigned long &frameCount)
LIA_SPKTOOLS_API void	modelBasedadaptModel (Config &config, StatServer &ss, MixtureServer &ms, FeatureServer &fs, SegCluster &selectedSegments, MixtureGD &aprioriModel, MixtureGD &clientMixture, MixtureGD &initModel)
LIA_SPKTOOLS_API void	modelBasedadaptModelEM (Config &config, StatServer &ss, MixtureServer &ms, FeatureServer &fs, SegCluster &selectedSegments, MixtureGD &aprioriModel, MixtureGD &clientMixture, MixtureGD &initModel)
LIA_SPKTOOLS_API void	modelBasedadaptModelEM (Config &config, StatServer &ss, MixtureServer &ms, FeatureServer &fs, SegCluster &selectedSegments, FeatureServer &fsTests, SegCluster &selectedSegmentsTests, MixtureGD &aprioriModel, MixtureGD &clientMixture, MixtureGD &initModel)
LIA_SPKTOOLS_API void	adaptModel (Config &config, StatServer &ss, MixtureServer &ms, ObjectRefVector &FeatServ, ObjectRefVector &ClusterSeg, MixtureGD &aprioriModel, MixtureGD &clientMixture, DoubleVector &decision)
LIA_SPKTOOLS_API double	computeLLR (StatServer &ss, FeatureServer &fsTests, MixtureGD &world, MixtureGD &clientMixture, SegCluster &selectedSegmentsTests)
LIA_SPKTOOLS_API double	computeLLR (Config &config, StatServer &ss, FeatureServer &fsTests, MixtureGD &world, MixtureGD &clientMixture, SegCluster &selectedSegmentsTests, String &idTest)
LIA_SPKTOOLS_API double	computeFastLLR (StatServer &ss, FeatureServer &fsTests, MixtureGD &world, MixtureGD &clientMixture, SegCluster &selectedSegmentsTests, String &idTest, Config &config)
LIA_SPKTOOLS_API double	computeLLRGD (Config &config, MixtureGD &clientMixture, MixtureGD &world, MixtureGD &dataTest)
LIA_SPKTOOLS_API void	expandLLR (DoubleVector &decision, Config &configTest)
LIA_SPKTOOLS_API void	WMAP (DoubleVector &decision, Config &configTest)
LIA_SPKTOOLS_API void	WMAPGMM (DoubleVector &decision, Config &configTest, MixtureGD &tar, MixtureGD &non, StatServer &ss)
LIA_SPKTOOLS_API void	WMAPGMMFixedPriors (DoubleVector &decision, Config &configTest, MixtureGD &tar, MixtureGD &non, StatServer &ss)
LIA_SPKTOOLS_API String	getFullFileName (String &id, Config &c)
LIA_SPKTOOLS_API String	getFullMixtureName (String &id, Config &c)
LIA_SPKTOOLS_API bool	FileExists (String &fullFileName)
LIA_SPKTOOLS_API void	computeMAPmodelFromEMones (Config &config, StatServer &ss, MixtureServer &ms, DoubleVector &nbFramesSelected, MixtureGD &aprioriModel, MixtureGD &clientMixture, MixtureGD &aux, MixtureGD &tmp, DoubleVector &decision, XLine &testsToCompute)
LIA_SPKTOOLS_API double	SegClusterFrame (SegCluster &SegC)
LIA_SPKTOOLS_API void	addLineInXList (XLine &line, XList &list)
LIA_SPKTOOLS_API void	computePriors (DoubleVector &decision, DoubleVector &priorImp, DoubleVector &priorTar, Config &configTest)
LIA_SPKTOOLS_API void	loadTnormParam (String &inputClientListFileName, String &testFile, ObjectRefVector &stockTnorm, Config &config)
LIA_SPKTOOLS_API void	computeAndStoreZnormParam (StatServer &ss, String &inputImpListFileName, String &idclient, MixtureGD &clientMixture, ObjectRefVector &stockZnorm, MixtureGD &world, Config &config, bool &ztnorm, ObjectRefVector &stockTnorm)
LIA_SPKTOOLS_API void	learnMAPimpostorModels (Config &config, DoubleVector &NbFramesSelectedImp, MixtureServer &ms, StatServer &ss, MixtureGD &world)
LIA_SPKTOOLS_API void	normalizeScore (String &test, double &decision, ObjectRefVector &stockNorm)
LIA_SPKTOOLS_API void	normalizeScore (String &test, double &decision, ObjectRefVector &stockNorm, double &shift)
LIA_SPKTOOLS_API void	resetWeights (DoubleVector &decision)
LIA_SPKTOOLS_API void	Oracle (String &idTar, String &idTest, double &score, Config &config, MixtureGD &tar, MixtureGD &non, StatServer &ss)
LIA_SPKTOOLS_API void	crossValid (Config &configTest, StatServer &ss, MixtureServer &ms, FeatureServer &fs, SegCluster &totalSegments, MixtureGD &aprioriModel, MixtureGD &bestModel, SegCluster &selectedSegments, String &idTest)
LIA_SPKTOOLS_API double	searchLLRFromResFile (String &idTar, String &test, String &inputResFilename, Config &config)
LIA_SPKTOOLS_API unsigned long	adaptModelEMweightedFrames (String &labelSelectedFrames, XLine &featureFileName, StatServer &ss, MixtureGD &world, MixtureGD &tar, MixtureGD &non, MixtureGD &MixtureforLLR, MixtureGD &MixtureEMOutput, Config &config, FeatureServer &fs, String &fullFileName, String &idTest)
LIA_SPKTOOLS_API String	selectNearestTarModel (String &TARListFilename, String &fullFileName, Config &config, StatServer &ss, FeatureServer &fs, MixtureGD &world, SegCluster &selectedSegments, MixtureServer &ms)
LIA_SPKTOOLS_API void	computeLLRmatrix (DoubleMatrix &LLR, XLine &models, XList &features, Config &config, StatServer &ss, MixtureGD &world, MixtureServer &ms, String &labelSelectedFrames)
LIA_SPKTOOLS_API void	fuseMAP (Config &config, StatServer &ss, MixtureServer &ms, MixtureGD &aprioriModel, MixtureGD &clientMixture, MixtureGD &aux, MixtureGD &tmp, DoubleVector &decision, XLine &testsToCompute)
LIA_SPKTOOLS_API void	fuseMAPMeans (const MixtureGD &model1, double &w1, const MixtureGD &model2, double &w2, MixtureGD &result)
LIA_SPKTOOLS_API double	computeWeightedLLR (Config &config, StatServer &ss, FeatureServer &fsTests, MixtureServer &ms, MixtureGD &aprioriModel, SegCluster &selectedSegmentsTests, MixtureGD &aux, DoubleVector &decision, XLine &testsToCompute, String &idTest, String &fullfilename)
LIA_SPKTOOLS_API void	copyCluster (SegCluster &source, SegCluster &dest)
LIA_SPKTOOLS_API int	findClusterInRefvector (ObjectRefVector &SegServ, String &id)
LIA_SPKTOOLS_API void	learnEMimpostorModels (Config &config, DoubleVector &NbFramesSelectedImp, MixtureServer &ms, StatServer &ss, MixtureGD &world)
LIA_SPKTOOLS_API double	computeAdaptedTnorm (Config &configTest, MixtureServer &ms, StatServer &ss, MixtureGD &world, MixtureGD &auxMixture, MixtureGD &tmpMixture, double &nonorm_score, int &countTests, DoubleVector &decision, DoubleVector &NbFramesSelected, XLine &testsToCompute, DoubleVector &NbFramesSelectedImp, FeatureServer &fsTests, SegCluster &selectedSegmentsTests, String &idTest)
LIA_SPKTOOLS_API double	findNearestLLRInMatrix (Matrix< double > &Mat, unsigned long &index, double &LLR)
LIA_SPKTOOLS_API void	assessAdaptation (StatServer &ss, MixtureGD &adaptedMixture, SegCluster &selectedSegments, Config &configTest, FeatureServer &fs, MixtureGD &world, DoubleVector &tmp, String &fullFileNameTrain, int countTests, double &tarScore)

Define Documentation

#define LIA_SPKTOOLS_API

Definition at line 65 of file UnsupervisedTools.h.

Function Documentation

LIA_SPKTOOLS_API void accumulateStatLK	(	StatServer &	ss,
		FeatureServer &	fs,
		MixtureStat &	acc,
		unsigned long	idxBeginFrame,
		unsigned long	nbFrames,
		Config &	config
	)

Definition at line 180 of file UnsupervisedTools.cpp.

Referenced by accumulateStatLK().

LIA_SPKTOOLS_API void accumulateStatLK	(	StatServer &	ss,
		FeatureServer &	fs,
		MixtureStat &	acc,
		Seg *	seg,
		Config &	config
	)

Definition at line 195 of file UnsupervisedTools.cpp.

References accumulateStatLK().

LIA_SPKTOOLS_API void accumulateStatLK	(	StatServer &	ss,
		FeatureServer &	fs,
		MixtureStat &	acc,
		SegCluster &	selectedSegments,
		Config &	config
	)

Definition at line 203 of file UnsupervisedTools.cpp.

References accumulateStatLK().

LIA_SPKTOOLS_API void adaptModel	(	Config &	config,
		StatServer &	ss,
		MixtureServer &	ms,
		ObjectRefVector &	FeatServ,
		ObjectRefVector &	ClusterSeg,
		MixtureGD &	aprioriModel,
		MixtureGD &	clientMixture,
		DoubleVector &	decision
	)

Definition at line 219 of file UnsupervisedTools.cpp.

References accumulateStatEM(), baggedSegments(), computeMAP(), debug, MAPCfg::getBaggedFrameProbability(), MAPCfg::getNbTrainIt(), MAPCfg::getNormalizeModel(), meanLikelihood(), normalizeMixture(), MAPCfg::showConfig(), verbose, and verboseLevel.

LIA_SPKTOOLS_API void adaptModelEM	(	Config &	config,
		StatServer &	ss,
		MixtureServer &	ms,
		FeatureServer &	fs,
		SegCluster &	selectedSegments,
		MixtureGD &	world,
		MixtureGD &	clientMixture
	)

Definition at line 622 of file UnsupervisedTools.cpp.

References adaptModelEM().

Referenced by adaptModelEM(), learnEMimpostorModels(), and TrainTargetAdapt().

LIA_SPKTOOLS_API void adaptModelEM	(	Config &	config,
		StatServer &	ss,
		MixtureServer &	ms,
		FeatureServer &	fs,
		SegCluster &	selectedSegments,
		FeatureServer &	fs2,
		SegCluster &	selectedSegments2,
		MixtureGD &	aprioriModel,
		MixtureGD &	clientMixture,
		MAPCfg &	mapCfg
	)

Definition at line 632 of file UnsupervisedTools.cpp.

References accumulateStatEM(), baggedSegments(), MAPCfg::getBaggedFrameProbability(), MAPCfg::getNbTrainIt(), meanLikelihood(), verbose, and verboseLevel.

LIA_SPKTOOLS_API void adaptModelEM	(	Config &	config,
		StatServer &	ss,
		MixtureServer &	ms,
		FeatureServer &	fs,
		SegCluster &	selectedSegments,
		FeatureServer &	fs2,
		SegCluster &	selectedSegments2,
		MixtureGD &	aprioriModel,
		MixtureGD &	clientMixture
	)

Definition at line 692 of file UnsupervisedTools.cpp.

References adaptModelEM().

LIA_SPKTOOLS_API unsigned long adaptModelEMweightedFrames	(	String &	labelSelectedFrames,
		XLine &	featureFileName,
		StatServer &	ss,
		MixtureGD &	world,
		MixtureGD &	tar,
		MixtureGD &	non,
		MixtureGD &	MixtureforLLR,
		MixtureGD &	MixtureEMOutput,
		Config &	config,
		FeatureServer &	fs,
		String &	fullFileName,
		String &	idTest
	)

Definition at line 1562 of file UnsupervisedTools.cpp.

References WindowLLR::accLLR(), WindowLLR::dec(), FileExists(), WindowLLR::getLLR(), initializeClusters(), WindowLLR::isEnd(), WindowLLR::isSet(), alize::FileInfo::loadTopInfo(), WindowLLR::setNbClient(), WindowLLR::showConfig(), verbose, verboseLevel, verifyClusterFile(), WMAPGMMFixedPriors(), and alize::FileInfo::writeTopInfo().

LIA_SPKTOOLS_API void adaptModelMAP	(	Config &	config,
		StatServer &	ss,
		MixtureServer &	ms,
		MixtureGD &	aprioriModel,
		MixtureGD &	clientMixture,
		MAPCfg &	mapCfg,
		unsigned long &	frameCount
	)

Definition at line 540 of file UnsupervisedTools.cpp.

References computeMAP(), debug, MAPCfg::getNbTrainIt(), MAPCfg::getNormalizeModel(), and normalizeMixture().

LIA_SPKTOOLS_API void adaptModelMAP	(	Config &	config,
		StatServer &	ss,
		MixtureServer &	ms,
		MixtureGD &	world,
		MixtureGD &	clientMixture,
		unsigned long &	frameCount
	)

Definition at line 561 of file UnsupervisedTools.cpp.

References adaptModelMAP().

Referenced by adaptModelMAP(), and computeMAPmodelFromEMones().

LIA_SPKTOOLS_API void addLineInXList	(	XLine &	line,
		XList &	list
	)

Definition at line 1733 of file UnsupervisedTools.cpp.

LIA_SPKTOOLS_API void assessAdaptation	(	StatServer &	ss,
		MixtureGD &	adaptedMixture,
		SegCluster &	selectedSegments,
		Config &	configTest,
		FeatureServer &	fs,
		MixtureGD &	world,
		DoubleVector &	tmp,
		String &	fullFileNameTrain,
		int	countTests,
		double &	tarScore
	)

Definition at line 2033 of file UnsupervisedTools.cpp.

References computeFastLLR().

Referenced by TrainTargetAdapt().

LIA_SPKTOOLS_API double computeAdaptedTnorm	(	Config &	configTest,
		MixtureServer &	ms,
		StatServer &	ss,
		MixtureGD &	world,
		MixtureGD &	auxMixture,
		MixtureGD &	tmpMixture,
		double &	nonorm_score,
		int &	countTests,
		DoubleVector &	decision,
		DoubleVector &	NbFramesSelected,
		XLine &	testsToCompute,
		DoubleVector &	NbFramesSelectedImp,
		FeatureServer &	fsTests,
		SegCluster &	selectedSegmentsTests,
		String &	idTest
	)

Definition at line 1963 of file UnsupervisedTools.cpp.

References computeFastLLR(), computeMAPmodelFromEMones(), and line.

LIA_SPKTOOLS_API void computeAndStoreZnormParam	(	StatServer &	ss,
		String &	inputImpListFileName,
		String &	idclient,
		MixtureGD &	clientMixture,
		ObjectRefVector &	stockZnorm,
		MixtureGD &	world,
		Config &	config,
		bool &	ztnorm,
		ObjectRefVector &	stockTnorm
	)

Definition at line 1303 of file UnsupervisedTools.cpp.

References computeFastLLR(), computeLLR(), FileExists(), getFullFileName(), Norm::idTest, initializeClusters(), line, Norm::mu, normalizeScore(), Norm::sigma, verbose, verboseLevel, and verifyClusterFile().

Referenced by TrainTargetAdapt().

LIA_SPKTOOLS_API double computeFastLLR	(	StatServer &	ss,
		FeatureServer &	fsTests,
		MixtureGD &	world,
		MixtureGD &	clientMixture,
		SegCluster &	selectedSegmentsTests,
		String &	idTest,
		Config &	config
	)

Definition at line 812 of file UnsupervisedTools.cpp.

References alize::FileInfo::close(), debug, alize::FileInfo::loadTopInfo(), verbose, and verboseLevel.

Referenced by assessAdaptation(), computeAdaptedTnorm(), computeAndStoreZnormParam(), computeWeightedLLR(), selectNearestTarModel(), and TrainTargetAdapt().

LIA_SPKTOOLS_API double computeLLR	(	StatServer &	ss,
		FeatureServer &	fsTests,
		MixtureGD &	world,
		MixtureGD &	clientMixture,
		SegCluster &	selectedSegmentsTests
	)

Definition at line 708 of file UnsupervisedTools.cpp.

References verbose, and verboseLevel.

Referenced by computeAndStoreZnormParam(), computeLLRmatrix(), crossValid(), selectNearestTarModel(), and TrainTargetAdapt().

LIA_SPKTOOLS_API double computeLLR	(	Config &	config,
		StatServer &	ss,
		FeatureServer &	fsTests,
		MixtureGD &	world,
		MixtureGD &	clientMixture,
		SegCluster &	selectedSegmentsTests,
		String &	idTest
	)

Definition at line 748 of file UnsupervisedTools.cpp.

References alize::FileInfo::close(), verbose, verboseLevel, and alize::FileInfo::writeTopInfo().

LIA_SPKTOOLS_API double computeLLRGD	(	Config &	config,
		MixtureGD &	clientMixture,
		MixtureGD &	world,
		MixtureGD &	dataTest
	)

Definition at line 852 of file UnsupervisedTools.cpp.

References likelihoodGD(), verbose, and verboseLevel.

LIA_SPKTOOLS_API void computeLLRmatrix	(	DoubleMatrix &	LLR,
		XLine &	models,
		XList &	features,
		Config &	config,
		StatServer &	ss,
		MixtureGD &	world,
		MixtureServer &	ms,
		String &	labelSelectedFrames
	)

Definition at line 1685 of file UnsupervisedTools.cpp.

References computeLLR(), debug, initializeClusters(), line, and verifyClusterFile().

LIA_SPKTOOLS_API void computeMAPmodelFromEMones	(	Config &	config,
		StatServer &	ss,
		MixtureServer &	ms,
		DoubleVector &	nbFramesSelected,
		MixtureGD &	aprioriModel,
		MixtureGD &	clientMixture,
		MixtureGD &	aux,
		MixtureGD &	tmp,
		DoubleVector &	decision,
		XLine &	testsToCompute
	)

Definition at line 1130 of file UnsupervisedTools.cpp.

References adaptModelMAP(), debug, fuseModels(), verbose, and verboseLevel.

Referenced by computeAdaptedTnorm(), and TrainTargetAdapt().

LIA_SPKTOOLS_API void computePriors	(	DoubleVector &	decision,
		DoubleVector &	priorImp,
		DoubleVector &	priorTar,
		Config &	configTest
	)

Definition at line 1089 of file UnsupervisedTools.cpp.

References verbose, and verboseLevel.

Referenced by WMAPGMM().

LIA_SPKTOOLS_API double computeWeightedLLR	(	Config &	config,
		StatServer &	ss,
		FeatureServer &	fsTests,
		MixtureServer &	ms,
		MixtureGD &	aprioriModel,
		SegCluster &	selectedSegmentsTests,
		MixtureGD &	aux,
		DoubleVector &	decision,
		XLine &	testsToCompute,
		String &	idTest,
		String &	fullfilename
	)

Definition at line 1804 of file UnsupervisedTools.cpp.

References computeFastLLR(), debug, verbose, and verboseLevel.

LIA_SPKTOOLS_API void copyCluster	(	SegCluster &	source,
		SegCluster &	dest
	)

Definition at line 1831 of file UnsupervisedTools.cpp.

Referenced by crossValid(), and TrainTargetAdapt().

LIA_SPKTOOLS_API void crossValid	(	Config &	configTest,
		StatServer &	ss,
		MixtureServer &	ms,
		FeatureServer &	fs,
		SegCluster &	totalSegments,
		MixtureGD &	aprioriModel,
		MixtureGD &	bestModel,
		SegCluster &	selectedSegments,
		String &	idTest
	)

Definition at line 1459 of file UnsupervisedTools.cpp.

References accumulateStatEM(), baggedSegments(), computeLLR(), computeMAP(), copyCluster(), debug, MAPCfg::getNormalizeModel(), meanLikelihood(), normalizeMixture(), verbose, and verboseLevel.

Referenced by TrainTargetAdapt().

LIA_SPKTOOLS_API void expandLLR	(	DoubleVector &	decision,
		Config &	configTest
	)

Definition at line 874 of file UnsupervisedTools.cpp.

Referenced by TrainTargetAdapt().

LIA_SPKTOOLS_API bool FileExists ( String & fullFileName )

Definition at line 968 of file UnsupervisedTools.cpp.

Referenced by adaptModelEMweightedFrames(), computeAndStoreZnormParam(), learnEMimpostorModels(), learnMAPimpostorModels(), selectNearestTarModel(), and TrainTargetAdapt().

LIA_SPKTOOLS_API int findClusterInRefvector	(	ObjectRefVector &	SegServ,
		String &	id
	)

Definition at line 1839 of file UnsupervisedTools.cpp.

LIA_SPKTOOLS_API double findNearestLLRInMatrix	(	Matrix< double > &	Mat,
		unsigned long &	index,
		double &	LLR
	)

Definition at line 2005 of file UnsupervisedTools.cpp.

Referenced by TrainTargetAdapt().

LIA_SPKTOOLS_API void fuseMAP	(	Config &	config,
		StatServer &	ss,
		MixtureServer &	ms,
		MixtureGD &	aprioriModel,
		MixtureGD &	clientMixture,
		MixtureGD &	aux,
		MixtureGD &	tmp,
		DoubleVector &	decision,
		XLine &	testsToCompute
	)

Definition at line 1751 of file UnsupervisedTools.cpp.

References debug, fuseMAPMeans(), verbose, and verboseLevel.

Referenced by TrainTargetAdapt().

LIA_SPKTOOLS_API void fuseMAPMeans	(	const MixtureGD &	model1,
		double &	w1,
		const MixtureGD &	model2,
		double &	w2,
		MixtureGD &	result
	)

Definition at line 1784 of file UnsupervisedTools.cpp.

Referenced by fuseMAP().

LIA_SPKTOOLS_API String getFullFileName	(	String &	id,
		Config &	c
	)

Definition at line 952 of file UnsupervisedTools.cpp.

Referenced by computeAndStoreZnormParam(), and TrainTargetAdapt().

LIA_SPKTOOLS_API String getFullMixtureName	(	String &	id,
		Config &	c
	)

Definition at line 959 of file UnsupervisedTools.cpp.

Referenced by learnEMimpostorModels(), learnMAPimpostorModels(), and TrainTargetAdapt().

LIA_SPKTOOLS_API void learnEMimpostorModels	(	Config &	config,
		DoubleVector &	NbFramesSelectedImp,
		MixtureServer &	ms,
		StatServer &	ss,
		MixtureGD &	world
	)

Definition at line 1850 of file UnsupervisedTools.cpp.

References adaptModelEM(), FileExists(), getFullMixtureName(), initializeClusters(), line, SegClusterFrame(), verbose, and verifyClusterFile().

LIA_SPKTOOLS_API void learnMAPimpostorModels	(	Config &	config,
		DoubleVector &	NbFramesSelectedImp,
		MixtureServer &	ms,
		StatServer &	ss,
		MixtureGD &	world
	)

Definition at line 1899 of file UnsupervisedTools.cpp.

References adaptModel(), FileExists(), getFullMixtureName(), initializeClusters(), line, SegClusterFrame(), verbose, and verifyClusterFile().

LIA_SPKTOOLS_API void loadTnormParam	(	String &	inputClientListFileName,
		String &	testFile,
		ObjectRefVector &	stockTnorm,
		Config &	config
	)

Definition at line 1211 of file UnsupervisedTools.cpp.

References debug, Norm::idTest, line, Norm::mu, and Norm::sigma.

Referenced by TrainTargetAdapt().

LIA_SPKTOOLS_API void modelBasedadaptModel	(	Config &	config,
		StatServer &	ss,
		MixtureServer &	ms,
		FeatureServer &	fs,
		SegCluster &	selectedSegments,
		MixtureGD &	aprioriModel,
		MixtureGD &	clientMixture,
		MixtureGD &	initModel
	)

Definition at line 917 of file TrainTools.cpp.

References accumulateStatEM(), baggedSegments(), computeMAP(), debug, MAPCfg::getBaggedFrameProbability(), MAPCfg::getNbEmIt(), MAPCfg::getNormalizeModel(), likelihoodGD(), meanLikelihood(), normalizeMixture(), MAPCfg::showConfig(), totalFrame(), verbose, and verboseLevel.

LIA_SPKTOOLS_API void modelBasedadaptModelEM	(	Config &	config,
		StatServer &	ss,
		MixtureServer &	ms,
		FeatureServer &	fs,
		SegCluster &	selectedSegments,
		FeatureServer &	fsTests,
		SegCluster &	selectedSegmentsTests,
		MixtureGD &	aprioriModel,
		MixtureGD &	clientMixture,
		MixtureGD &	initModel
	)

Definition at line 288 of file UnsupervisedTools.cpp.

References accumulateStatEM(), baggedSegments(), debug, MAPCfg::getBaggedFrameProbability(), MAPCfg::getNbEmIt(), likelihoodGD(), meanLikelihood(), verbose, and verboseLevel.

LIA_SPKTOOLS_API void modelBasedadaptModelEM	(	Config &	config,
		StatServer &	ss,
		MixtureServer &	ms,
		FeatureServer &	fs,
		SegCluster &	selectedSegments,
		MixtureGD &	aprioriModel,
		MixtureGD &	clientMixture,
		MixtureGD &	initModel
	)

Definition at line 423 of file UnsupervisedTools.cpp.

References accumulateStatEM(), baggedSegments(), debug, MAPCfg::getBaggedFrameProbability(), MAPCfg::getNbEmIt(), likelihoodGD(), and verbose.

LIA_SPKTOOLS_API void normalizeScore	(	String &	test,
		double &	decision,
		ObjectRefVector &	stockNorm
	)

Definition at line 1264 of file UnsupervisedTools.cpp.

References verbose, and verboseLevel.

Referenced by computeAndStoreZnormParam(), and TrainTargetAdapt().

LIA_SPKTOOLS_API void normalizeScore	(	String &	test,
		double &	decision,
		ObjectRefVector &	stockNorm,
		double &	shift
	)

Definition at line 1284 of file UnsupervisedTools.cpp.

References verbose, and verboseLevel.

LIA_SPKTOOLS_API void Oracle	(	String &	idTar,
		String &	idTest,
		double &	score,
		Config &	config,
		MixtureGD &	tar,
		MixtureGD &	non,
		StatServer &	ss
	)

Definition at line 1404 of file UnsupervisedTools.cpp.

References line, and WMAPGMMFixedPriors().

Referenced by TrainTargetAdapt().

LIA_SPKTOOLS_API void resetWeights ( DoubleVector & decision )

Definition at line 1390 of file UnsupervisedTools.cpp.

LIA_SPKTOOLS_API double searchLLRFromResFile	(	String &	idTar,
		String &	test,
		String &	inputResFilename,
		Config &	config
	)

Definition at line 1527 of file UnsupervisedTools.cpp.

References line.

Referenced by TrainTargetAdapt().

LIA_SPKTOOLS_API double SegClusterFrame ( SegCluster & SegC )

Definition at line 1183 of file UnsupervisedTools.cpp.

Referenced by learnEMimpostorModels(), learnMAPimpostorModels(), and TrainTargetAdapt().

LIA_SPKTOOLS_API String selectNearestTarModel	(	String &	TARListFilename,
		String &	fullFileName,
		Config &	config,
		StatServer &	ss,
		FeatureServer &	fs,
		MixtureGD &	world,
		SegCluster &	selectedSegments,
		MixtureServer &	ms
	)