Configuration variables like variance floor, minimum occupancy, etc. More...

#include <mle-diag-gmm.h>

Collaboration diagram for MleDiagGmmOptions:

[legend]

Public Member Functions
	MleDiagGmmOptions ()

void	Register (OptionsItf *opts)

Public Attributes
Vector< double >	variance_floor_vector
	Variance floor for each dimension [empty if not supplied]. More...

BaseFloat	min_gaussian_weight
	Minimum weight below which a Gaussian is not updated (and is removed, if remove_low_count_gaussians == true);. More...

BaseFloat	min_gaussian_occupancy
	Minimum count below which a Gaussian is not updated (and is removed, if remove_low_count_gaussians == true). More...

double	min_variance
	Minimum allowed variance in any dimension (if no variance floor) It is in double since the variance is computed in double precision. More...

bool	remove_low_count_gaussians

Detailed Description

Configuration variables like variance floor, minimum occupancy, etc.

needed in the estimation process.

Definition at line 38 of file mle-diag-gmm.h.

Constructor & Destructor Documentation

◆ MleDiagGmmOptions()

MleDiagGmmOptions ( )

inline

Definition at line 52 of file mle-diag-gmm.h.

                       {
     // don't set var floor vector by default.
     min_gaussian_weight     = 1.0e-05;
     min_gaussian_occupancy  = 10.0;
     min_variance            = 0.001;
     remove_low_count_gaussians = true;
   }

Member Function Documentation

◆ Register()

void Register ( OptionsItf * opts )

inline

Definition at line 59 of file mle-diag-gmm.h.

References OptionsItf::Register().

Referenced by main().

                                   {
     std::string module = "MleDiagGmmOptions: ";
     opts->Register("min-gaussian-weight", &min_gaussian_weight,
                  module+"Min Gaussian weight before we remove it.");
     opts->Register("min-gaussian-occupancy", &min_gaussian_occupancy,
                  module+"Minimum occupancy to update a Gaussian.");
     opts->Register("min-variance", &min_variance,
                  module+"Variance floor (absolute variance).");
     opts->Register("remove-low-count-gaussians", &remove_low_count_gaussians,
                  module+"If true, remove Gaussians that fall below the floors.");
   }

Member Data Documentation

◆ min_gaussian_occupancy

BaseFloat min_gaussian_occupancy

Minimum count below which a Gaussian is not updated (and is removed, if remove_low_count_gaussians == true).

Definition at line 47 of file mle-diag-gmm.h.

Referenced by main(), kaldi::MleAmDiagGmmUpdate(), and kaldi::MleDiagGmmUpdate().

◆ min_gaussian_weight

BaseFloat min_gaussian_weight

Minimum weight below which a Gaussian is not updated (and is removed, if remove_low_count_gaussians == true);.

Definition at line 44 of file mle-diag-gmm.h.

Referenced by kaldi::MleDiagGmmUpdate().

◆ min_variance

double min_variance

Minimum allowed variance in any dimension (if no variance floor) It is in double since the variance is computed in double precision.

Definition at line 50 of file mle-diag-gmm.h.

Referenced by main(), kaldi::MleDiagGmmUpdate(), and UnitTestEstimateDiagGmm().

◆ remove_low_count_gaussians

bool remove_low_count_gaussians

Definition at line 51 of file mle-diag-gmm.h.

Referenced by kaldi::MleAmDiagGmmUpdate(), and kaldi::MleDiagGmmUpdate().

◆ variance_floor_vector

Vector<double> variance_floor_vector

Variance floor for each dimension [empty if not supplied].

It is in double since the variance is computed in double precision.

Definition at line 41 of file mle-diag-gmm.h.