Configuration variables like variance floor, minimum occupancy, etc. More...
#include <mle-full-gmm.h>
Public Member Functions | |
MleFullGmmOptions () | |
void | Register (OptionsItf *opts) |
Public Attributes | |
BaseFloat | min_gaussian_weight |
Minimum weight below which a Gaussian is removed. More... | |
BaseFloat | min_gaussian_occupancy |
Minimum occupancy count below which a Gaussian is removed. More... | |
BaseFloat | variance_floor |
Floor on eigenvalues of covariance matrices. More... | |
BaseFloat | max_condition |
Maximum condition number of covariance matrices (apply floor to eigenvalues if they pass this). More... | |
bool | remove_low_count_gaussians |
Configuration variables like variance floor, minimum occupancy, etc.
needed in the estimation process.
Definition at line 38 of file mle-full-gmm.h.
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inline |
Definition at line 49 of file mle-full-gmm.h.
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inline |
Definition at line 56 of file mle-full-gmm.h.
References OptionsItf::Register().
Referenced by main().
BaseFloat max_condition |
Maximum condition number of covariance matrices (apply floor to eigenvalues if they pass this).
Definition at line 47 of file mle-full-gmm.h.
Referenced by main(), and kaldi::MleFullGmmUpdate().
BaseFloat min_gaussian_occupancy |
Minimum occupancy count below which a Gaussian is removed.
Definition at line 42 of file mle-full-gmm.h.
Referenced by kaldi::MleFullGmmUpdate().
BaseFloat min_gaussian_weight |
Minimum weight below which a Gaussian is removed.
Definition at line 40 of file mle-full-gmm.h.
Referenced by kaldi::MleFullGmmUpdate().
bool remove_low_count_gaussians |
Definition at line 48 of file mle-full-gmm.h.
Referenced by kaldi::MleFullGmmUpdate().
BaseFloat variance_floor |
Floor on eigenvalues of covariance matrices.
Definition at line 44 of file mle-full-gmm.h.
Referenced by main(), and kaldi::MleFullGmmUpdate().