#include <alize.h>#include "liatools.h"
Go to the source code of this file.
Classes | |
| class | MAPCfg |
| class | TrainCfg |
Defines | |
| #define | LIA_SPKTOOLS_API |
Functions | |
| LIA_SPKTOOLS_API void | fuseModels (const MixtureGD &, unsigned long, const MixtureGD &, unsigned long, MixtureGD &) |
| LIA_SPKTOOLS_API void | copyMixture (DistribGD &, DistribGD &) |
| LIA_SPKTOOLS_API unsigned long | selectComponent (bool selectCompA[], XList &distribL, MixtureGD &inputM) |
| LIA_SPKTOOLS_API unsigned long | selectComponent (bool selectCompA[], double wFactor, MixtureGD &inputM) |
| LIA_SPKTOOLS_API unsigned long | selectComponent (bool selectCompA[], unsigned long nbTop, MixtureGD &inputM) |
| LIA_SPKTOOLS_API double | reduceModel (bool selectCompA[], MixtureGD &inputM, MixtureGD &outputM) |
| LIA_SPKTOOLS_API void | normalizeWeights (MixtureGD &outputM) |
| LIA_SPKTOOLS_API void | gaussianFusion (const DistribGD &g1, double w1, const DistribGD &g2, double w2, DistribGD &res, double &w) |
| LIA_SPKTOOLS_API void | mixtureFusion (const MixtureGD &mixt, DistribGD &res, double &wres) |
| LIA_SPKTOOLS_API void | normalizeMixture (MixtureGD &mixt, const DoubleVector &meanSignal, const DoubleVector &covSignal, bool zeroOne, unsigned long nbIt, bool meanOnly, Config &config) |
| LIA_SPKTOOLS_API void | normalizeMixture (MixtureGD &mixt, const DoubleVector &meanSignal, const DoubleVector &covSignal, Config &config) |
| LIA_SPKTOOLS_API void | normalizeMixture (MixtureGD &mixt, Config &config) |
| LIA_SPKTOOLS_API void | normalizeMixture (MixtureGD &mixt, MAPCfg &mapCfg, Config &config) |
| LIA_SPKTOOLS_API double | likelihoodLoss (const DistribGD &g1, double w1, const DistribGD &g2, double w2) |
| LIA_SPKTOOLS_API double * | outputMAPTransformation (MixtureGD &world, MixtureGD &clientMixture, Config &config) |
| LIA_SPKTOOLS_API void | computeMAP (MixtureServer &ms, const MixtureGD &world, MixtureGD &client, unsigned long frameCount, Config &config) |
| LIA_SPKTOOLS_API void | computeMAP (MixtureServer &ms, const MixtureGD &world, MixtureGD &client, unsigned long frameCount, MAPCfg &cfg) |
| LIA_SPKTOOLS_API void | copyMean (MixtureGD &mixtS, MixtureGD &mixtD) |
| LIA_SPKTOOLS_API void | copyVar (MixtureGD &mixtS, MixtureGD &mixtD) |
| LIA_SPKTOOLS_API void | copyWeight (MixtureGD &mixtS, MixtureGD &mixtD) |
| LIA_SPKTOOLS_API double | setItParameter (double begin, double end, int nbIt, int it) |
| LIA_SPKTOOLS_API void | varianceControl (MixtureGD &model, double flooring, double ceiling, const DoubleVector &covSignal) |
| LIA_SPKTOOLS_API unsigned long | computeMeanCov (Config &config, FeatureServer **fsTab, SegCluster **segTab, unsigned long nbStream, DoubleVector &mean, DoubleVector &cov) |
| LIA_SPKTOOLS_API unsigned long | computeMeanCov (Config &config, FeatureServer &fs, SegCluster &seg, DoubleVector &mean, DoubleVector &cov) |
| LIA_SPKTOOLS_API void | initialize01 (unsigned long vectSize, DoubleVector &mean, DoubleVector &cov) |
| LIA_SPKTOOLS_API MixtureGD & | mixtureInit (MixtureServer &ms, FeatureServer &fs, MixtureGD &world, SegCluster &selectedSegments, const DoubleVector &globalCov, Config &config) |
| LIA_SPKTOOLS_API MixtureGD & | mixtureInit (MixtureServer &ms, FeatureServer &fs, MixtureGD &world, SegCluster &selectedSegments, const DoubleVector &globalCov, Config &config, TrainCfg &trainCfg) |
| LIA_SPKTOOLS_API MixtureGD & | mixtureInit (MixtureServer &ms, FeatureServer **fsTab, SegCluster **segTab, double *weightTab, unsigned long nbStream, MixtureGD &world, const DoubleVector &globalCov, Config &config, TrainCfg &trainCfg) |
| LIA_SPKTOOLS_API MixtureGD & | mixtureInit (MixtureServer &ms, FeatureServer **fsTab, SegCluster **segTab, double *weightTab, unsigned long nbStream, MixtureGD &world, const DoubleVector &globalCov, Config &config) |
| LIA_SPKTOOLS_API void | adaptModel (Config &config, StatServer &ss, MixtureServer &ms, FeatureServer &fs, SegCluster &selectedSegments, MixtureGD &world, MixtureGD &clientMixture) |
| LIA_SPKTOOLS_API void | adaptModel (Config &config, StatServer &ss, MixtureServer &ms, FeatureServer &fs, SegCluster &selectedSegments, MixtureGD &world, MixtureGD &clientMixture, MAPCfg &cfg) |
| 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 | trainModel (Config &config, StatServer &ss, FeatureServer &fs, SegCluster &selectedSegments, DoubleVector &globalMean, DoubleVector &globalCov, MixtureGD &world) |
| LIA_SPKTOOLS_API void | trainModel (Config &config, StatServer &ss, FeatureServer &fs, SegCluster &selectedSegments, DoubleVector &globalMean, DoubleVector &globalCov, MixtureGD &world, TrainCfg &trainCfg) |
| LIA_SPKTOOLS_API void | trainModelStream (Config &config, MixtureServer &ms, StatServer &ss, FeatureServer **fsTab, SegCluster **segTab, double *weightTab, unsigned long nbStream, DoubleVector &globalMean, DoubleVector &globalCov, MixtureGD *&world, TrainCfg &trainCfg) |
| LIA_SPKTOOLS_API void | trainModel (Config &config, MixtureServer &ms, StatServer &ss, FeatureServer **fsTab, SegCluster **segTab, double *weightTab, unsigned long nbStream, DoubleVector &globalMean, DoubleVector &globalCov, MixtureGD *&world) |
| LIA_SPKTOOLS_API Matrix< double > | computeMLLR (MixtureGD &inM, MixtureGD &outM, unsigned long frameCount, Config &config) |
Define Documentation
| #define LIA_SPKTOOLS_API |
Definition at line 65 of file TrainTools.h.
Function Documentation
| LIA_SPKTOOLS_API void adaptModel | ( | Config & | config, |
| StatServer & | ss, | ||
| MixtureServer & | ms, | ||
| FeatureServer & | fs, | ||
| SegCluster & | selectedSegments, | ||
| MixtureGD & | world, | ||
| MixtureGD & | clientMixture | ||
| ) |
Definition at line 908 of file TrainTools.cpp.
References adaptModel().
Referenced by adaptModel(), clusteringCriterionByAdapt(), learnMAPimpostorModels(), TrainTarget(), TrainTargetAdapt(), and TrainTargetByLabel().
| LIA_SPKTOOLS_API void adaptModel | ( | Config & | config, |
| StatServer & | ss, | ||
| MixtureServer & | ms, | ||
| FeatureServer & | fs, | ||
| SegCluster & | selectedSegments, | ||
| MixtureGD & | world, | ||
| MixtureGD & | clientMixture, | ||
| MAPCfg & | cfg | ||
| ) |
Definition at line 873 of file TrainTools.cpp.
References accumulateStatEM(), baggedSegments(), computeMAP(), computeMLLR(), debug, MAPCfg::getBaggedFrameProbability(), MAPCfg::getMethod(), MAPCfg::getNbTrainIt(), MAPCfg::getNormalizeModel(), meanLikelihood(), normalizeMixture(), MAPCfg::showConfig(), verbose, and verboseLevel.
| LIA_SPKTOOLS_API void computeMAP | ( | MixtureServer & | ms, |
| const MixtureGD & | world, | ||
| MixtureGD & | client, | ||
| unsigned long | frameCount, | ||
| MAPCfg & | cfg | ||
| ) |
Definition at line 548 of file TrainTools.cpp.
References computeMAPConst(), computeMAPConst2(), computeMAPOccDep(), computeModelBasedMAPOccDep(), debug, MAPCfg::getMethod(), and MAPCfg::showConfig().
| LIA_SPKTOOLS_API void computeMAP | ( | MixtureServer & | ms, |
| const MixtureGD & | world, | ||
| MixtureGD & | client, | ||
| unsigned long | frameCount, | ||
| Config & | config | ||
| ) |
Definition at line 543 of file TrainTools.cpp.
References computeMAP().
Referenced by adaptModel(), adaptModelMAP(), computeMAP(), crossValid(), and modelBasedadaptModel().
| LIA_SPKTOOLS_API unsigned long computeMeanCov | ( | Config & | config, |
| FeatureServer ** | fsTab, | ||
| SegCluster ** | segTab, | ||
| unsigned long | nbStream, | ||
| DoubleVector & | mean, | ||
| DoubleVector & | cov | ||
| ) |
Definition at line 595 of file TrainTools.cpp.
References accumulateStatFrame(), and initialize01().
Referenced by normFeat(), and trainWorld().
| LIA_SPKTOOLS_API unsigned long computeMeanCov | ( | Config & | config, |
| FeatureServer & | fs, | ||
| SegCluster & | seg, | ||
| DoubleVector & | mean, | ||
| DoubleVector & | cov | ||
| ) |
Definition at line 605 of file TrainTools.cpp.
References accumulateStatFrame(), and initialize01().
| LIA_SPKTOOLS_API Matrix<double> computeMLLR | ( | MixtureGD & | inM, |
| MixtureGD & | outM, | ||
| unsigned long | frameCount, | ||
| Config & | config | ||
| ) |
Definition at line 790 of file TrainTools.cpp.
References copyVar(), copyWeight(), verbose, and verboseLevel.
Referenced by adaptModel().
| LIA_SPKTOOLS_API void copyMean | ( | MixtureGD & | mixtS, |
| MixtureGD & | mixtD | ||
| ) |
Definition at line 423 of file TrainTools.cpp.
| LIA_SPKTOOLS_API void copyMixture | ( | DistribGD & | , |
| DistribGD & | |||
| ) |
Definition at line 166 of file TrainTools.cpp.
Referenced by reduceModel().
| LIA_SPKTOOLS_API void copyVar | ( | MixtureGD & | mixtS, |
| MixtureGD & | mixtD | ||
| ) |
Definition at line 432 of file TrainTools.cpp.
Referenced by computeMLLR().
| LIA_SPKTOOLS_API void copyWeight | ( | MixtureGD & | mixtS, |
| MixtureGD & | mixtD | ||
| ) |
Definition at line 441 of file TrainTools.cpp.
Referenced by computeMLLR().
| LIA_SPKTOOLS_API void fuseModels | ( | const MixtureGD & | , |
| unsigned | long, | ||
| const MixtureGD & | , | ||
| unsigned | long, | ||
| MixtureGD & | |||
| ) |
Definition at line 236 of file TrainTools.cpp.
Referenced by computeMAPmodelFromEMones().
| LIA_SPKTOOLS_API void gaussianFusion | ( | const DistribGD & | g1, |
| double | w1, | ||
| const DistribGD & | g2, | ||
| double | w2, | ||
| DistribGD & | res, | ||
| double & | w | ||
| ) |
Definition at line 257 of file TrainTools.cpp.
Referenced by mixtureFusion().
| LIA_SPKTOOLS_API void initialize01 | ( | unsigned long | vectSize, |
| DoubleVector & | mean, | ||
| DoubleVector & | cov | ||
| ) |
Definition at line 614 of file TrainTools.cpp.
Referenced by computeMeanCov(), and trainWorld().
| LIA_SPKTOOLS_API double likelihoodLoss | ( | const DistribGD & | g1, |
| double | w1, | ||
| const DistribGD & | g2, | ||
| double | w2 | ||
| ) |
Definition at line 338 of file TrainTools.cpp.
Referenced by energyDetector().
| LIA_SPKTOOLS_API void mixtureFusion | ( | const MixtureGD & | mixt, |
| DistribGD & | res, | ||
| double & | wres | ||
| ) |
Definition at line 271 of file TrainTools.cpp.
References gaussianFusion().
Referenced by normalizeMixture().
| LIA_SPKTOOLS_API MixtureGD& mixtureInit | ( | MixtureServer & | ms, |
| FeatureServer & | fs, | ||
| MixtureGD & | world, | ||
| SegCluster & | selectedSegments, | ||
| const DoubleVector & | globalCov, | ||
| Config & | config, | ||
| TrainCfg & | trainCfg | ||
| ) |
Definition at line 621 of file TrainTools.cpp.
References accumulateStatFrame(), baggedSegments(), TrainCfg::getBaggedFrameProbabilityInit(), and verbose.
| LIA_SPKTOOLS_API MixtureGD& mixtureInit | ( | MixtureServer & | ms, |
| FeatureServer & | fs, | ||
| MixtureGD & | world, | ||
| SegCluster & | selectedSegments, | ||
| const DoubleVector & | globalCov, | ||
| Config & | config | ||
| ) |
Definition at line 769 of file TrainTools.cpp.
References mixtureInit().
Referenced by clusteringCriterionWithoutWorldInit(), mixtureInit(), and trainWorld().
| LIA_SPKTOOLS_API MixtureGD& mixtureInit | ( | MixtureServer & | ms, |
| FeatureServer ** | fsTab, | ||
| SegCluster ** | segTab, | ||
| double * | weightTab, | ||
| unsigned long | nbStream, | ||
| MixtureGD & | world, | ||
| const DoubleVector & | globalCov, | ||
| Config & | config | ||
| ) |
Definition at line 774 of file TrainTools.cpp.
References mixtureInit().
| LIA_SPKTOOLS_API MixtureGD& mixtureInit | ( | MixtureServer & | ms, |
| FeatureServer ** | fsTab, | ||
| SegCluster ** | segTab, | ||
| double * | weightTab, | ||
| unsigned long | nbStream, | ||
| MixtureGD & | world, | ||
| const DoubleVector & | globalCov, | ||
| Config & | config, | ||
| TrainCfg & | trainCfg | ||
| ) |
Definition at line 676 of file TrainTools.cpp.
References accumulateStatFrame(), baggedSegments(), debug, totalFrame(), and verbose.
| 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.
Referenced by TrainTarget().
| LIA_SPKTOOLS_API void normalizeMixture | ( | MixtureGD & | mixt, |
| Config & | config | ||
| ) |
Definition at line 329 of file TrainTools.cpp.
References normalizeMixture().
| LIA_SPKTOOLS_API void normalizeMixture | ( | MixtureGD & | mixt, |
| const DoubleVector & | meanSignal, | ||
| const DoubleVector & | covSignal, | ||
| bool | zeroOne, | ||
| unsigned long | nbIt, | ||
| bool | meanOnly, | ||
| Config & | config | ||
| ) |
Definition at line 287 of file TrainTools.cpp.
References mixtureFusion().
Referenced by adaptModel(), adaptModelMAP(), crossValid(), modelBasedadaptModel(), normalizeMixture(), trainModel(), and trainModelStream().
| LIA_SPKTOOLS_API void normalizeMixture | ( | MixtureGD & | mixt, |
| const DoubleVector & | meanSignal, | ||
| const DoubleVector & | covSignal, | ||
| Config & | config | ||
| ) |
| LIA_SPKTOOLS_API void normalizeMixture | ( | MixtureGD & | mixt, |
| MAPCfg & | mapCfg, | ||
| Config & | config | ||
| ) |
Definition at line 334 of file TrainTools.cpp.
References MAPCfg::getNormalizeModelMeanOnly(), MAPCfg::getNormalizeModelNbIt(), and normalizeMixture().
| LIA_SPKTOOLS_API void normalizeWeights | ( | MixtureGD & | outputM ) |
Definition at line 223 of file TrainTools.cpp.
Referenced by trainModelStream().
| LIA_SPKTOOLS_API double* outputMAPTransformation | ( | MixtureGD & | world, |
| MixtureGD & | clientMixture, | ||
| Config & | config | ||
| ) |
| LIA_SPKTOOLS_API double reduceModel | ( | bool | selectCompA[], |
| MixtureGD & | inputM, | ||
| MixtureGD & | outputM | ||
| ) |
Definition at line 206 of file TrainTools.cpp.
References copyMixture().
Referenced by trainModelStream().
| LIA_SPKTOOLS_API unsigned long selectComponent | ( | bool | selectCompA[], |
| double | wFactor, | ||
| MixtureGD & | inputM | ||
| ) |
Definition at line 186 of file TrainTools.cpp.
| LIA_SPKTOOLS_API unsigned long selectComponent | ( | bool | selectCompA[], |
| XList & | distribL, | ||
| MixtureGD & | inputM | ||
| ) |
Definition at line 175 of file TrainTools.cpp.
Referenced by trainModelStream().
| LIA_SPKTOOLS_API unsigned long selectComponent | ( | bool | selectCompA[], |
| unsigned long | nbTop, | ||
| MixtureGD & | inputM | ||
| ) |
Definition at line 197 of file TrainTools.cpp.
References TabWeight::getDistrib().
| LIA_SPKTOOLS_API double setItParameter | ( | double | begin, |
| double | end, | ||
| int | nbIt, | ||
| int | it | ||
| ) |
Definition at line 562 of file TrainTools.cpp.
Referenced by trainModel(), and trainModelStream().
| LIA_SPKTOOLS_API void trainModel | ( | Config & | config, |
| StatServer & | ss, | ||
| FeatureServer & | fs, | ||
| SegCluster & | selectedSegments, | ||
| DoubleVector & | globalMean, | ||
| DoubleVector & | globalCov, | ||
| MixtureGD & | world | ||
| ) |
Definition at line 1113 of file TrainTools.cpp.
References trainModel().
Referenced by clusteringCriterion(), clusteringCriterionWithoutWorldInit(), and trainModel().
| LIA_SPKTOOLS_API void trainModel | ( | Config & | config, |
| StatServer & | ss, | ||
| FeatureServer & | fs, | ||
| SegCluster & | selectedSegments, | ||
| DoubleVector & | globalMean, | ||
| DoubleVector & | globalCov, | ||
| MixtureGD & | world, | ||
| TrainCfg & | trainCfg | ||
| ) |
Definition at line 995 of file TrainTools.cpp.
References accumulateStatEM(), baggedSegments(), TrainCfg::getBaggedFrameProbability(), TrainCfg::getFinalVarCeil(), TrainCfg::getFinalVarFloor(), TrainCfg::getInitVarCeil(), TrainCfg::getInitVarFloor(), TrainCfg::getNbTrainIt(), TrainCfg::getNormalizeModel(), meanLikelihood(), normalizeMixture(), setItParameter(), TrainCfg::showConfig(), varianceControl(), verbose, and verboseLevel.
| LIA_SPKTOOLS_API void trainModel | ( | Config & | config, |
| MixtureServer & | ms, | ||
| StatServer & | ss, | ||
| FeatureServer ** | fsTab, | ||
| SegCluster ** | segTab, | ||
| double * | weightTab, | ||
| unsigned long | nbStream, | ||
| DoubleVector & | globalMean, | ||
| DoubleVector & | globalCov, | ||
| MixtureGD *& | world | ||
| ) |
Definition at line 1118 of file TrainTools.cpp.
References TrainCfg::showConfig(), trainModelStream(), and verbose.
| LIA_SPKTOOLS_API void trainModelStream | ( | Config & | config, |
| MixtureServer & | ms, | ||
| StatServer & | ss, | ||
| FeatureServer ** | fsTab, | ||
| SegCluster ** | segTab, | ||
| double * | weightTab, | ||
| unsigned long | nbStream, | ||
| DoubleVector & | globalMean, | ||
| DoubleVector & | globalCov, | ||
| MixtureGD *& | world, | ||
| TrainCfg & | trainCfg | ||
| ) |
Definition at line 1032 of file TrainTools.cpp.
References accumulateStatEM(), baggedSegments(), debug, TrainCfg::getBaggedFrameProbability(), TrainCfg::getComponentReduction(), TrainCfg::getFinalVarCeil(), TrainCfg::getFinalVarFloor(), TrainCfg::getInitVarCeil(), TrainCfg::getInitVarFloor(), TrainCfg::getNbTrainIt(), TrainCfg::getNormalizeModel(), TrainCfg::getTargetDistribCount(), meanLikelihood(), normalizeMixture(), normalizeWeights(), reduceModel(), selectComponent(), setItParameter(), TrainCfg::showConfig(), totalFrame(), varianceControl(), verbose, and verboseLevel.
Referenced by trainModel(), and trainWorld().
| LIA_SPKTOOLS_API void varianceControl | ( | MixtureGD & | model, |
| double | flooring, | ||
| double | ceiling, | ||
| const DoubleVector & | covSignal | ||
| ) |
Definition at line 569 of file TrainTools.cpp.
References verbose.
Referenced by energyDetector(), trainModel(), and trainModelStream().
