Gaussian Mixture Model. More...
#include <bsapi.h>
Inheritance diagram for SGMMI:
Public Member Functions | |
| virtual bool BSAPI_METHOD | Init (int nMixtures=0, int vectorSize=0, unsigned int modelParts=GMMP_MEANS|GMMP_VARIANCES|GMMP_WEIGHTS)=0 |
| Initialize Gaussian Mixture Model. | |
| virtual unsigned int BSAPI_METHOD | GetModelParts ()=0 |
| Return used model parts. | |
| virtual bool BSAPI_METHOD | Save (const char *pFile)=0 |
| Save model to files. | |
| virtual bool BSAPI_METHOD | Load (const char *pFile, unsigned int additionalModelParts=0)=0 |
| virtual bool BSAPI_METHOD | Assign (SGMMI *pGmm)=0 |
| virtual void BSAPI_METHOD | SetUBM (SGMMI *pUBM)=0 |
| virtual void BSAPI_METHOD | SetGaussianSelectionModel (SGMMI *pGaussianSelectionModel)=0 |
| virtual void BSAPI_METHOD | SetGaussianSelectionClusters (SGMMPreselectionTableI *pGaussianSelectionClusters)=0 |
| virtual void BSAPI_METHOD | SetScoringMethod (unsigned int scoringMethod)=0 |
| virtual unsigned int BSAPI_METHOD | GetScoringMethod ()=0 |
| virtual void BSAPI_METHOD | SetEstimationFlags (unsigned int reestimateFlags)=0 |
| virtual unsigned int BSAPI_METHOD | GetEstimationFlags ()=0 |
| virtual void BSAPI_METHOD | SetMapTau (float mapTau)=0 |
| virtual float BSAPI_METHOD | GetMapTau ()=0 |
| virtual void BSAPI_METHOD | SetNBest (int nBest)=0 |
| virtual int BSAPI_METHOD | GetNBest ()=0 |
| virtual void BSAPI_METHOD | SetUserFlags (unsigned int userFlags)=0 |
| virtual unsigned int BSAPI_METHOD | GetUserFlags ()=0 |
| virtual void BSAPI_METHOD | SetDefaultPassFlags (unsigned int defaultPassFlags)=0 |
| virtual bool BSAPI_METHOD | EvaluateGaussians (SFloatMatrixI *pFeatures, int nFrames, bool allGaussians)=0 |
| virtual bool BSAPI_METHOD | ScoreFrames (SFloatMatrixI *pFeatures, int nFrames, float *pSummedScore, float *pRetScores=0)=0 |
| virtual bool BSAPI_METHOD | AddFeaturesForTest (SFloatMatrixI *pFeatures, int nFrames, int pass, unsigned int flags)=0 |
| virtual bool BSAPI_METHOD | GetScore (float *pRetScore)=0 |
| virtual bool BSAPI_METHOD | AddFeaturesForTraining (SFloatMatrixI *pFeatures, int nFrames, int pass, unsigned int flags)=0 |
| virtual bool BSAPI_METHOD | Reestimate ()=0 |
| virtual void BSAPI_METHOD | ResetAccums ()=0 |
| virtual void BSAPI_METHOD | ResetPerSentenceAccums ()=0 |
| virtual int BSAPI_METHOD | GetNMixtures ()=0 |
| virtual int BSAPI_METHOD | GetVectorSize ()=0 |
| virtual int BSAPI_METHOD | GetExtendedVectorSize ()=0 |
| virtual SGMMI *BSAPI_METHOD | GetUBM ()=0 |
| virtual SFloatMatrixI *BSAPI_METHOD | GetGaussianLogLikes ()=0 |
| virtual bool BSAPI_METHOD | GetAllGaussiansEvaluated ()=0 |
| virtual float *BSAPI_METHOD | GetMeans ()=0 |
| virtual float *BSAPI_METHOD | GetAdaptedMeans ()=0 |
| virtual float *BSAPI_METHOD | GetInvVariances ()=0 |
| virtual float *BSAPI_METHOD | GetLogWeights ()=0 |
| virtual float *BSAPI_METHOD | GetGConsts ()=0 |
| virtual float *BSAPI_METHOD | GetZStats ()=0 |
| virtual float *BSAPI_METHOD | GetOccupations ()=0 |
| virtual float *BSAPI_METHOD | GetXStats ()=0 |
| virtual float *BSAPI_METHOD | GetX2Stats ()=0 |
| virtual float *BSAPI_METHOD | GetSentOccupations ()=0 |
| virtual float *BSAPI_METHOD | GetSentXStats ()=0 |
| virtual float *BSAPI_METHOD | GetSentX2Stats ()=0 |
| virtual int BSAPI_METHOD | GetNFramesInSentence ()=0 |
| virtual int BSAPI_METHOD | GetNTrainingFrames ()=0 |
| virtual SIntMatrixI *BSAPI_METHOD | GetNBestIndexes ()=0 |
| virtual void BSAPI_METHOD | SetNBestIndexes (SIntMatrixI *pNBestIndexes)=0 |
| virtual void BSAPI_METHOD | SetUsePerSentenceNBestIndexes (bool usePerSentenceNBestIndexes)=0 |
| virtual bool BSAPI_METHOD | GetUsePerSentenceNBestIndexes ()=0 |
| virtual bool BSAPI_METHOD | SetFactorAnalysis (SFactorAnalysisI *pFactorAnalysis)=0 |
|
virtual SFactorAnalysisI *BSAPI_METHOD | GetFactorAnalysis ()=0 |
| virtual SFactorsI *BSAPI_METHOD | GetFactors ()=0 |
| virtual void BSAPI_METHOD | SetUseAdaptedModel (bool useAdaptedModel)=0 |
| virtual bool BSAPI_METHOD | GetUseAdaptedModel ()=0 |
| virtual void BSAPI_METHOD | Backup ()=0 |
| virtual bool BSAPI_METHOD | Restore ()=0 |
| virtual void BSAPI_METHOD | DestroyBackup ()=0 |
Detailed Description
Gaussian Mixture Model.
Member Function Documentation
| virtual unsigned int BSAPI_METHOD SGMMI::GetModelParts | ( | ) | [pure virtual] |
Return used model parts.
- Returns:
- set of binary flags specifying used model parts, see SGMMModelPartsDefs for flags.
| virtual bool BSAPI_METHOD SGMMI::Init | ( | int | nMixtures = 0, |
| int | vectorSize = 0, |
||
| unsigned int | modelParts = GMMP_MEANS|GMMP_VARIANCES|GMMP_WEIGHTS |
||
| ) | [pure virtual] |
Initialize Gaussian Mixture Model.
- Parameters:
-
nMixtures number of mixture components (if 0, the value is taken from UBM) vectorSize feature vector size (if 0, the value is taken from UBM) modelParts set of binary flags specifying model parts, see SGMMModelPartsDefs for flags. Not initialized and necessary model parts are taken from UBM.
- Returns:
- true if the model vas initialized correctly
| virtual bool BSAPI_METHOD SGMMI::Save | ( | const char * | pFile | ) | [pure virtual] |
Save model to files.
- Returns:
- true if everything was saved correctly
The documentation for this class was generated from the following file:
