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.
|
inline |
Definition at line 49 of file mle-full-gmm.h.
|
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().