MleAmSgmm2Options Struct Reference

Configuration variables needed in the SGMM estimation process. More...

#include <estimate-am-sgmm2.h>

Collaboration diagram for MleAmSgmm2Options:

Public Member Functions
	MleAmSgmm2Options ()
void	Register (OptionsItf *opts)

Public Attributes
BaseFloat	tau_c
	Smoothing constant for sub-state weights [count to add to each one]. More...
BaseFloat	cov_floor
	Floor covariance matrices Sigma_i to this times average cov. More...
BaseFloat	cov_diag_ratio
	ratio to dim below which we use diagonal. default 2, set to inf for diag. More...
BaseFloat	max_cond
	Max on condition of matrices in update beyond which we do not update. More...
bool	renormalize_V
bool	renormalize_N
int	weight_projections_iters
	Number of iters when re-estimating weight projections "w". More...
BaseFloat	epsilon
	very small value used to prevent SVD crashing. More...
BaseFloat	max_impr_u
	max improvement per frame allowed in update of u. More...
BaseFloat	tau_map_M
	For MAP update of the phonetic subspace M. More...
int	map_M_prior_iters
	num of iterations to update the prior of M More...
bool	full_row_cov
	Estimate row covariance instead of using I. More...
bool	full_col_cov
	Estimate col covariance instead of using I. More...

Detailed Description

Configuration variables needed in the SGMM estimation process.

Definition at line 40 of file estimate-am-sgmm2.h.

Constructor & Destructor Documentation

MleAmSgmm2Options()

MleAmSgmm2Options ( )

inline

Definition at line 66 of file estimate-am-sgmm2.h.

                      {
    cov_floor = 0.025;
    tau_c  = 2.0;
    cov_diag_ratio = 2.0;  // set this to very large to get diagonal-cov models.
    max_cond = 1.0e+05;
    epsilon = 1.0e-40;
    renormalize_V = true;
    renormalize_N = false;  // default to false since will invalidate spk vectors
    // on disk.
    weight_projections_iters = 3;
    max_impr_u = 0.25;

    map_M_prior_iters = 5;
    tau_map_M = 0.0;  // No MAP update by default (~500-1000 depending on prior)
    full_row_cov = false;
    full_col_cov = false;
  }

Member Function Documentation

Register()

void Register ( OptionsItf *  opts )

inline

Definition at line 84 of file estimate-am-sgmm2.h.

References OptionsItf::Register().

Referenced by main().

                                  {
    std::string module = "MleAmSgmm2Options: ";
    opts->Register("tau-c", &tau_c, module+
                   "Count for smoothing weight update.");
    opts->Register("cov-floor", &cov_floor, module+
                   "Covariance floor (fraction of average covariance).");
    opts->Register("cov-diag-ratio", &cov_diag_ratio, module+
                   "Minimum occ/dim ratio below which use diagonal covariances.");
    opts->Register("max-cond", &max_cond, module+"Maximum condition number used to "
                   "regularize the solution of certain quadratic auxiliary functions.");
    opts->Register("weight-projections-iters", &weight_projections_iters, module+
                   "Number for iterations for weight projection estimation.");
    opts->Register("renormalize-v", &renormalize_V, module+"If true, renormalize "
                   "the phonetic-subspace vectors to have meaningful sizes.");
    opts->Register("renormalize-n", &renormalize_N, module+"If true, renormalize "
                   "the speaker subspace to have meaningful sizes.");
    opts->Register("max-impr-u", &max_impr_u, module+"Maximum objective function "
                   "improvement per frame allowed in update of u (to "
                   "maintain stability.");

    opts->Register("tau-map-M", &tau_map_M, module+"Smoothing for MAP estimate "
                   "of M (0 means ML update).");
    opts->Register("map-M-prior-iters", &map_M_prior_iters, module+
                   "Number of iterations to estimate prior covariances for M.");
    opts->Register("full-row-cov", &full_row_cov, module+
                   "Estimate row covariance instead of using I.");
    opts->Register("full-col-cov", &full_col_cov, module+
                   "Estimate column covariance instead of using I.");
  }

Member Data Documentation

cov_diag_ratio

BaseFloat cov_diag_ratio

ratio to dim below which we use diagonal. default 2, set to inf for diag.

Definition at line 46 of file estimate-am-sgmm2.h.

cov_floor

BaseFloat cov_floor

Floor covariance matrices Sigma_i to this times average cov.

Definition at line 44 of file estimate-am-sgmm2.h.

epsilon

BaseFloat epsilon

very small value used to prevent SVD crashing.

Definition at line 58 of file estimate-am-sgmm2.h.

full_col_cov

bool full_col_cov

Estimate col covariance instead of using I.

Definition at line 64 of file estimate-am-sgmm2.h.

Referenced by TestSgmm2AccsIO().

full_row_cov

bool full_row_cov

Estimate row covariance instead of using I.

Definition at line 63 of file estimate-am-sgmm2.h.

Referenced by TestSgmm2AccsIO().

map_M_prior_iters

int map_M_prior_iters

num of iterations to update the prior of M

Definition at line 62 of file estimate-am-sgmm2.h.

max_cond

BaseFloat max_cond

Max on condition of matrices in update beyond which we do not update.

Should probably be related to numerical properties of machine or BaseFloat type.

Definition at line 50 of file estimate-am-sgmm2.h.

max_impr_u

BaseFloat max_impr_u

max improvement per frame allowed in update of u.

Definition at line 59 of file estimate-am-sgmm2.h.

renormalize_N

bool renormalize_N

Definition at line 53 of file estimate-am-sgmm2.h.

renormalize_V

bool renormalize_V

Definition at line 52 of file estimate-am-sgmm2.h.

tau_c

BaseFloat tau_c

Smoothing constant for sub-state weights [count to add to each one].

Definition at line 42 of file estimate-am-sgmm2.h.

tau_map_M

BaseFloat tau_map_M

For MAP update of the phonetic subspace M.

Definition at line 61 of file estimate-am-sgmm2.h.

Referenced by TestSgmm2AccsIO().

weight_projections_iters

int weight_projections_iters

Number of iters when re-estimating weight projections "w".

Definition at line 56 of file estimate-am-sgmm2.h.

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The documentation for this struct was generated from the following file:

• sgmm2/estimate-am-sgmm2.h