kaldi.sgmm2

Functions

compute_feature_normalizing_transform

Calls C++ function

Classes

AmSgmm2	Class for definition of subspace Gmm acoustic model
DecodableAmSgmm2	CLIF wrapper for ::kaldi::DecodableAmSgmm2
DecodableAmSgmm2Scaled	CLIF wrapper for ::kaldi::DecodableAmSgmm2Scaled
FmllrSgmm2Accs	CLIF wrapper for ::kaldi::FmllrSgmm2Accs
MleAmSgmm2Accs	CLIF wrapper for ::kaldi::MleAmSgmm2Accs
MleAmSgmm2Options	CLIF wrapper for ::kaldi::MleAmSgmm2Options
MleAmSgmm2Updater	CLIF wrapper for ::kaldi::MleAmSgmm2Updater
MleSgmm2SpeakerAccs	CLIF wrapper for ::kaldi::MleSgmm2SpeakerAccs
Sgmm2FmllrConfig	CLIF wrapper for ::kaldi::Sgmm2FmllrConfig
Sgmm2FmllrGlobalParams	CLIF wrapper for ::kaldi::Sgmm2FmllrGlobalParams
Sgmm2GauPostElement	CLIF wrapper for ::kaldi::Sgmm2GauPostElement
Sgmm2GselectConfig	CLIF wrapper for ::kaldi::Sgmm2GselectConfig
Sgmm2LikelihoodCache	CLIF wrapper for ::kaldi::Sgmm2LikelihoodCache
Sgmm2PerFrameDerivedVars	CLIF wrapper for ::kaldi::Sgmm2PerFrameDerivedVars
Sgmm2PerSpkDerivedVars	CLIF wrapper for ::kaldi::Sgmm2PerSpkDerivedVars
Sgmm2SplitSubstatesConfig	CLIF wrapper for ::kaldi::Sgmm2SplitSubstatesConfig

class kaldi.sgmm2.AmSgmm2

Class for definition of subspace Gmm acoustic model

check(show_properties:bool=default)

Checks the various components for correct sizes. When the argument is set to true, dimensions of the various components is printed

component_posteriors(per_frame_vars:Sgmm2PerFrameDerivedVars, j2:int, spk_vars:Sgmm2PerSpkDerivedVars) -> (loglike:float, post:Matrix)

Similar to loglikelihood() but also computes the posterior probabilities for the pre-selected Gaussian components and all substates.

compute_derived_vars()

Computes (and initializes if neccesary) derived vars

compute_fmllr_pre_xform(pdf_occs:Vector) -> (xform:Matrix, inv_xform:Matrix, diag_mean_scatter:Vector)

Computes the LDA-like pre-transform and its inverse as well as the eigenvalues of the scatter of the means used in FMLLR estimation

compute_h() → list<SpMatrix>

Computes \(M_i \Sigma_i^{-1} M_i^T\)

compute_h_double() → list<DoubleSpMatrix>

Computes \(M_i \Sigma_i^{-1} M_i^T\)

compute_normalizers()

Computes the data-independent terms in the log-likelihood computation for each Gaussian component and all substates

compute_per_spk_derived_vars(vars:Sgmm2PerSpkDerivedVars)

Computes the per-speaker derived vars; assumes vars->v_s is already set up.

compute_weights()

Computes the weights w_jmi_, which is needed for loglikelihood evaluation

computer_per_frame_vars(data:Vector, gselect:list<int>, spk_vars:Sgmm2PerSpkDerivedVars) → Sgmm2PerFrameDerivedVars

Calls C++ function void ::kaldi::AmSgmm2::ComputePerFrameVars(::kaldi::Vector<float>, ::std::vector< ::int32>, ::kaldi::Sgmm2PerSpkDerivedVars, ::kaldi::Sgmm2PerFrameDerivedVars*)

copy_from_sgmm2(other:AmSgmm2, copy_normalizers:bool, copy_weights:bool)

Copies models

copy_globals_init_vecs(other:AmSgmm2, pdf2group:list<int>, self_weight:float)

Copies the global parameters from the supplied model, but sets the state vectors to zero.

feature_dim() → int

Calls C++ function int ::kaldi::AmSgmm2::FeatureDim()

get_djms(j1:int, m:int, spk_vars:Sgmm2PerSpkDerivedVars) → float

Calls C++ function float ::kaldi::AmSgmm2::GetDjms(int, int, ::kaldi::Sgmm2PerSpkDerivedVars *)

get_inv_covars(gauss_index:int) → SpMatrix

Calls C++ function void ::kaldi::AmSgmm2::GetInvCovars(int, ::kaldi::SpMatrix<float>*)

get_inv_covars_double(gauss_index:int) → DoubleSpMatrix

Calls C++ function void ::kaldi::AmSgmm2::GetInvCovars(int, ::kaldi::SpMatrix<double>*)

get_ntrans_sigma_inv() → list<Matrix>

Calls C++ function void ::kaldi::AmSgmm2::GetNtransSigmaInv(::std::vector< ::kaldi::Matrix<float> >*)

get_ntrans_sigma_inv_double() → list<DoubleMatrix>

Calls C++ function void ::kaldi::AmSgmm2::GetNtransSigmaInv(::std::vector< ::kaldi::Matrix<double> >*)

get_substate_mean(j1:int, m:int, i:int, mean_out:VectorBase)

Calls C++ function void ::kaldi::AmSgmm2::GetSubstateMean(int, int, int, ::kaldi::VectorBase<float> *)

get_substate_mean_double(j1:int, m:int, i:int, mean_out:DoubleVectorBase)

Calls C++ function void ::kaldi::AmSgmm2::GetSubstateMean(int, int, int, ::kaldi::VectorBase<double> *)

get_substate_speaker_mean(j1:int, substate:int, gauss:int, spk:Sgmm2PerSpkDerivedVars, mean_out:VectorBase)

Calls C++ function void ::kaldi::AmSgmm2::GetSubstateSpeakerMean(int, int, int, ::kaldi::Sgmm2PerSpkDerivedVars, ::kaldi::VectorBase<float> *)

get_substate_speaker_mean_double(j1:int, substate:int, gauss:int, spk:Sgmm2PerSpkDerivedVars, mean_out:DoubleVectorBase)

Calls C++ function void ::kaldi::AmSgmm2::GetSubstateSpeakerMean(int, int, int, ::kaldi::Sgmm2PerSpkDerivedVars, ::kaldi::VectorBase<double> *)

get_var_scaled_substate_speaker_mean(j1:int, substate:int, gauss:int, spk:Sgmm2PerSpkDerivedVars, mean_out:VectorBase)

Calls C++ function void ::kaldi::AmSgmm2::GetVarScaledSubstateSpeakerMean(int, int, int, ::kaldi::Sgmm2PerSpkDerivedVars, ::kaldi::VectorBase<float> *)

get_var_scaled_substate_speaker_mean_double(j1:int, substate:int, gauss:int, spk:Sgmm2PerSpkDerivedVars, mean_out:DoubleVectorBase)

Calls C++ function void ::kaldi::AmSgmm2::GetVarScaledSubstateSpeakerMean(int, int, int, ::kaldi::Sgmm2PerSpkDerivedVars, ::kaldi::VectorBase<double> *)

has_speaker_dependent_weights() → bool

True if doing SSGMM

has_speaker_space() → bool

Calls C++ function bool ::kaldi::AmSgmm2::HasSpeakerSpace()

increase_phone_space_dim(target_dim:int, norm_xform:Matrix)

Functions for increasing the phonetic and speaker space dimensions

increase_spk_space_dim(target_dim:int, norm_xform:Matrix, speaker_dependent_weights:bool)

Increase the subspace dimensions for speakers. speaker_dependent_weights only makes a difference if increasing the subspace dimension from zero

initialize_from_full_gmm(gmm:FullGmm, pdf2group:list<int>, phn_subspace_dim:int, spk_subspace_dim:int, speaker_dependent_weights:bool, self_weight:float)

Initializes the SGMM parameters from a full-covariance UBM. The state2group vector maps from a state to the corresponding cluster of states [i.e., j2 to j1]. For conventionally structured systems (no 2-level tree), this can just be [0 1 … n-1 ]

loglikelihood(per_frame_vars:Sgmm2PerFrameDerivedVars, j2:int, cache:Sgmm2LikelihoodCache, spk_vars:Sgmm2PerSpkDerivedVars, log_prune:float=default) → float

This does a log-likelihood computation for a given state using the pre-selected Gaussian components (in per_frame_vars). If the log_prune parameter is non-zero, the LogSumExp stage is prunes, which is a significant speedup

num_gauss() → int

Calls C++ function int ::kaldi::AmSgmm2::NumGauss()

num_groups() → int

Calls C++ function int ::kaldi::AmSgmm2::NumGroups()

num_pdfs() → int

Calls C++ function int ::kaldi::AmSgmm2::NumPdfs()

num_substates_for_group(j1:int) → int

Calls C++ function int ::kaldi::AmSgmm2::NumSubstatesForGroup(int)

num_substates_for_pdf(j2:int) → int

Calls C++ function int ::kaldi::AmSgmm2::NumSubstatesForPdf(int)

pdf2group(j2:int) → int

Calls C++ function int ::kaldi::AmSgmm2::Pdf2Group(int)

phone_space_dim() → int

Calls C++ function int ::kaldi::AmSgmm2::PhoneSpaceDim()

read(is:istream, binary:bool)

Calls C++ function void ::kaldi::AmSgmm2::Read(::std::basic_istream<char, ::std::char_traits<char> >, bool)

remove_speaker_space()

Calls C++ function void ::kaldi::AmSgmm2::RemoveSpeakerSpace()

spk_space_dim() → int

Calls C++ function int ::kaldi::AmSgmm2::SpkSpaceDim()

split_substates(state_occupancies:Vector, config:Sgmm2SplitSubstatesConfig)

Increases the total number of substates based on the state occupancies

write(os:ostream, binary:bool, write_params:int)

Calls C++ function void ::kaldi::AmSgmm2::Write(::std::basic_ostream<char, ::std::char_traits<char> >, bool, unsigned short)

class kaldi.sgmm2.DecodableAmSgmm2

CLIF wrapper for ::kaldi::DecodableAmSgmm2

is_last_frame(frame:int) → bool

Calls C++ function bool ::kaldi::DecodableAmSgmm2::IsLastFrame(int)

log_likelihood(frame:int, index:int) → float

Returns the log-likehood of the given index for the given frame.

loglikelihood(frame:int, tid:int) → float

Calls C++ function float ::kaldi::DecodableAmSgmm2::LogLikelihood(int, int)

num_frames_ready() → int

Calls C++ function int ::kaldi::DecodableAmSgmm2::NumFramesReady()

num_indices() → int

Calls C++ function int ::kaldi::DecodableAmSgmm2::NumIndices()

class kaldi.sgmm2.DecodableAmSgmm2Scaled

CLIF wrapper for ::kaldi::DecodableAmSgmm2Scaled

is_last_frame(frame:int) → bool

Calls C++ function bool ::kaldi::DecodableAmSgmm2::IsLastFrame(int)

log_likelihood(frame:int, index:int) → float

Returns the log-likehood of the given index for the given frame.

loglikelihood(frame:int, tid:int) → float

Calls C++ function float ::kaldi::DecodableAmSgmm2Scaled::LogLikelihood(int, int)

num_frames_ready() → int

Calls C++ function int ::kaldi::DecodableAmSgmm2::NumFramesReady()

num_indices() → int

Calls C++ function int ::kaldi::DecodableAmSgmm2::NumIndices()

class kaldi.sgmm2.FmllrSgmm2Accs

CLIF wrapper for ::kaldi::FmllrSgmm2Accs

accumulate(sgmm:AmSgmm2, data:VectorBase, frame_vars:Sgmm2PerFrameDerivedVars, statE_index:int, weights:float, spk:Sgmm2PerSpkDerivedVars) → float

Calls C++ function float ::kaldi::FmllrSgmm2Accs::Accumulate(::kaldi::AmSgmm2, ::kaldi::VectorBase<float>, ::kaldi::Sgmm2PerFrameDerivedVars, int, float, ::kaldi::Sgmm2PerSpkDerivedVars *)

accumulate_for_fmll_subspace(sgmm:AmSgmm2, fmllr_globals:Sgmm2FmllrGlobalParams, grad_scatter:DoubleSpMatrix)

Calls C++ function void ::kaldi::FmllrSgmm2Accs::AccumulateForFmllrSubspace(::kaldi::AmSgmm2, ::kaldi::Sgmm2FmllrGlobalParams, ::kaldi::SpMatrix<double> *)

accumulate_from_posteriors(sgmm:AmSgmm2, spk:Sgmm2PerSpkDerivedVars, data:VectorBase, gauss_select:list<int>, posteriors:Matrix, state_index:int)

Calls C++ function void ::kaldi::FmllrSgmm2Accs::AccumulateFromPosteriors(::kaldi::AmSgmm2, ::kaldi::Sgmm2PerSpkDerivedVars, ::kaldi::VectorBase<float>, ::std::vector< ::int32>, ::kaldi::Matrix<float>, int)

dim() → int

Calls C++ function int ::kaldi::FmllrSgmm2Accs::Dim()

fmllr_obj_gradient(sgmm:AmSgmm2, xform:Matrix) -> (gradient:float, grad_out:Matrix, G_out:Matrix)

Calls C++ function float ::kaldi::FmllrSgmm2Accs::FmllrObjGradient(::kaldi::AmSgmm2, ::kaldi::Matrix<float>, ::kaldi::Matrix<float>*, ::kaldi::Matrix<float>*)

init(dim:int, num_gaussians:int)

Calls C++ function void ::kaldi::FmllrSgmm2Accs::Init(int, int)

read(in_stream:istream, binary:bool, add:bool)

Calls C++ function void ::kaldi::FmllrSgmm2Accs::Read(::std::basic_istream<char, ::std::char_traits<char> >, bool, bool)

set_zero()

Calls C++ function void ::kaldi::FmllrSgmm2Accs::SetZero()

write(out_stream:ostream, binary:bool)

Calls C++ function void ::kaldi::FmllrSgmm2Accs::Write(::std::basic_ostream<char, ::std::char_traits<char> >, bool)

class kaldi.sgmm2.MleAmSgmm2Accs

CLIF wrapper for ::kaldi::MleAmSgmm2Accs

accumulate(model:AmSgmm2, frame_vars:Sgmm2PerFrameDerivedVars, pdf_index:int, weight:float, spk_vars:Sgmm2PerSpkDerivedVars) → float

Returns

Likelihood

accumulate_from_posteriors(model:AmSgmm2, frame_vars:Sgmm2PerFrameDerivedVars, posteriors:Matrix, pdf_index:int, spk_vars:Sgmm2PerSpkDerivedVars) → float

Returns count accumulated

check(model:AmSgmm2, show_properties:bool=default)

Checks the various accumulators for correct sizes given a model. With wrong sizes, assertion failure occurs. When the show_properties argument is set to true, dimensions and presence/absence of the various accumulators is printed

commit_stats_for_spk(model:AmSgmm2, spk_vars:Sgmm2PerSpkDerivedVars)

Calls C++ function void ::kaldi::MleAmSgmm2Accs::CommitStatsForSpk(::kaldi::AmSgmm2, ::kaldi::Sgmm2PerSpkDerivedVars)

feature_dim() → int

Calls C++ function int ::kaldi::MleAmSgmm2Accs::FeatureDim()

get_state_occupancies() → Vector

Calls C++ function void ::kaldi::MleAmSgmm2Accs::GetStateOccupancies(::kaldi::Vector<float>*)

new_with_params(model:AmSgmm2, flags:int, have_spk_vecs:bool, rand_prune:float=default) → MleAmSgmm2Accs

Calls C++ function std::unique_ptr<::kaldi::MleAmSgmm2Accs> ::kaldi::MleAmSgmm2Accs::MleAmSgmm2Accs(::kaldi::AmSgmm2, unsigned short, bool, float)

num_gauss() → int

Calls C++ function int ::kaldi::MleAmSgmm2Accs::NumGauss()

num_groups() → int

Calls C++ function int ::kaldi::MleAmSgmm2Accs::NumGroups()

num_pdfs() → int

Calls C++ function int ::kaldi::MleAmSgmm2Accs::NumPdfs()

phone_space_dim() → int

Calls C++ function int ::kaldi::MleAmSgmm2Accs::PhoneSpaceDim()

read(in_stream:istream, binary:bool, add:bool)

Calls C++ function void ::kaldi::MleAmSgmm2Accs::Read(::std::basic_istream<char, ::std::char_traits<char> >, bool, bool)

resize_accumulators(model:AmSgmm2, flags:int, have_spk_vecs:bool)

Resizes the accumulators to the correct sizes given the model. The flags argument controls which accumulators to resize

write(out_stream:ostream, binary:bool)

Calls C++ function void ::kaldi::MleAmSgmm2Accs::Write(::std::basic_ostream<char, ::std::char_traits<char> >, bool)

class kaldi.sgmm2.MleAmSgmm2Options

CLIF wrapper for ::kaldi::MleAmSgmm2Options

cov_diag_ratio

C++ ::kaldi::BaseFloat MleAmSgmm2Options.cov_diag_ratio

cov_floor

C++ ::kaldi::BaseFloat MleAmSgmm2Options.cov_floor

epsilon

C++ ::kaldi::BaseFloat MleAmSgmm2Options.epsilon

full_row_cov

C++ bool MleAmSgmm2Options.full_row_cov

map_M_prior_iters

C++ int MleAmSgmm2Options.map_M_prior_iters

max_cond

C++ ::kaldi::BaseFloat MleAmSgmm2Options.max_cond

max_impr_u

C++ ::kaldi::BaseFloat MleAmSgmm2Options.max_impr_u

register(opts:OptionsItf)

Calls C++ function void ::kaldi::MleAmSgmm2Options::Register(::kaldi::OptionsItf *)

renormalize_N

C++ bool MleAmSgmm2Options.renormalize_N

renormalize_V

C++ bool MleAmSgmm2Options.renormalize_V

tau_c

C++ ::kaldi::BaseFloat MleAmSgmm2Options.tau_c

tau_map_M

C++ ::kaldi::BaseFloat MleAmSgmm2Options.tau_map_M

weight_projections_iters

C++ int MleAmSgmm2Options.weight_projections_iters

class kaldi.sgmm2.MleAmSgmm2Updater

CLIF wrapper for ::kaldi::MleAmSgmm2Updater

reconfigure(options:MleAmSgmm2Options)

Calls C++ function void ::kaldi::MleAmSgmm2Updater::Reconfigure(::kaldi::MleAmSgmm2Options)

update(accs:MleAmSgmm2Accs, model:AmSgmm2, flags:int)

Calls C++ function void ::kaldi::MleAmSgmm2Updater::Update(::kaldi::MleAmSgmm2Accs, ::kaldi::AmSgmm2 *, unsigned short)

class kaldi.sgmm2.MleSgmm2SpeakerAccs

CLIF wrapper for ::kaldi::MleSgmm2SpeakerAccs

accumulate(model:AmSgmm2, frame_vars:Sgmm2PerFrameDerivedVars, pdf_index:int, weight:float, spk_vars:Sgmm2PerSpkDerivedVars) → float

Accumulate statistics. Returns per-frame log-likelihood.

accumulate_from_posteriors(model:AmSgmm2, frame_vars:Sgmm2PerFrameDerivedVars, posteriors:Matrix, pdf_index:int, spk_vars:Sgmm2PerSpkDerivedVars) → float

Accumulate statistics, given posteriors.

Returns

Total count accumulated

clear()

Calls C++ function void ::kaldi::MleSgmm2SpeakerAccs::Clear()

class kaldi.sgmm2.Sgmm2FmllrConfig

CLIF wrapper for ::kaldi::Sgmm2FmllrConfig

bases_occ_scale

C++ ::kaldi::BaseFloat Sgmm2FmllrConfig.bases_occ_scale

fmllr_iters

C++ ::int32 Sgmm2FmllrConfig.fmllr_iters

fmllr_min_count

C++ ::kaldi::BaseFloat Sgmm2FmllrConfig.fmllr_min_count

fmllr_min_count_basis

C++ ::kaldi::BaseFloat Sgmm2FmllrConfig.fmllr_min_count_basis

fmllr_min_count_full

C++ ::kaldi::BaseFloat Sgmm2FmllrConfig.fmllr_min_count_full

num_fmllr_bases

C++ ::int32 Sgmm2FmllrConfig.num_fmllr_bases

register(opts:OptionsItf)

Calls C++ function void ::kaldi::Sgmm2FmllrConfig::Register(::kaldi::OptionsItf *)

step_iters

C++ ::int32 Sgmm2FmllrConfig.step_iters

class kaldi.sgmm2.Sgmm2FmllrGlobalParams

CLIF wrapper for ::kaldi::Sgmm2FmllrGlobalParams

fmllr_bases_

C++ ::std::vector< ::kaldi::Matrix< ::kaldi::BaseFloat> > Sgmm2FmllrGlobalParams.fmllr_bases_

has_basis() → bool

Calls C++ function bool ::kaldi::Sgmm2FmllrGlobalParams::HasBasis()

init(sgmm:AmSgmm2, state_occs:Vector)

Calls C++ function void ::kaldi::Sgmm2FmllrGlobalParams::Init(::kaldi::AmSgmm2, ::kaldi::Vector<float>)

inv_xform_

C++ ::kaldi::Matrix< ::kaldi::BaseFloat> Sgmm2FmllrGlobalParams.inv_xform_

is_empty() → bool

Calls C++ function bool ::kaldi::Sgmm2FmllrGlobalParams::IsEmpty()

mean_scatter_

C++ ::kaldi::Vector< ::kaldi::BaseFloat> Sgmm2FmllrGlobalParams.mean_scatter_

pre_xform_

C++ ::kaldi::Matrix< ::kaldi::BaseFloat> Sgmm2FmllrGlobalParams.pre_xform_

read(in_stream:istream, binary:bool)

Calls C++ function void ::kaldi::Sgmm2FmllrGlobalParams::Read(::std::basic_istream<char, ::std::char_traits<char> >, bool)

write(out_stream:ostream, binary:bool)

Calls C++ function void ::kaldi::Sgmm2FmllrGlobalParams::Write(::std::basic_ostream<char, ::std::char_traits<char> >, bool)

class kaldi.sgmm2.Sgmm2GauPostElement

CLIF wrapper for ::kaldi::Sgmm2GauPostElement

gselect

C++ ::std::vector< ::int32> Sgmm2GauPostElement.gselect

posteriors

C++ ::std::vector< ::kaldi::Matrix< ::kaldi::BaseFloat> > Sgmm2GauPostElement.posteriors

tids

C++ ::std::vector< ::int32> Sgmm2GauPostElement.tids

class kaldi.sgmm2.Sgmm2GselectConfig

CLIF wrapper for ::kaldi::Sgmm2GselectConfig

diag_gmm_nbest

C++ ::int32 Sgmm2GselectConfig.diag_gmm_nbest

full_gmm_nbest

C++ ::int32 Sgmm2GselectConfig.full_gmm_nbest

register(opts:OptionsItf)

Calls C++ function void ::kaldi::Sgmm2GselectConfig::Register(::kaldi::OptionsItf *)

class kaldi.sgmm2.Sgmm2LikelihoodCache

CLIF wrapper for ::kaldi::Sgmm2LikelihoodCache

class PdfCacheElement

CLIF wrapper for ::kaldi::Sgmm2LikelihoodCache::PdfCacheElement

log_like

C++ ::kaldi::BaseFloat Sgmm2LikelihoodCache::PdfCacheElement.log_like

t

C++ ::int32 Sgmm2LikelihoodCache::PdfCacheElement.t

class SubstateCacheElement

CLIF wrapper for ::kaldi::Sgmm2LikelihoodCache::SubstateCacheElement

likes

C++ ::kaldi::Vector< ::kaldi::BaseFloat> Sgmm2LikelihoodCache::SubstateCacheElement.likes

remaining_log_like

C++ ::kaldi::BaseFloat Sgmm2LikelihoodCache::SubstateCacheElement.remaining_log_like

t

C++ ::int32 Sgmm2LikelihoodCache::SubstateCacheElement.t

next_frame()

Increments t

pdf_cache

C++ ::std::vector< ::kaldi::Sgmm2LikelihoodCache::PdfCacheElement> Sgmm2LikelihoodCache.pdf_cache

substate_cache

C++ ::std::vector< ::kaldi::Sgmm2LikelihoodCache::SubstateCacheElement> Sgmm2LikelihoodCache.substate_cache

t

C++ ::int32 Sgmm2LikelihoodCache.t

class kaldi.sgmm2.Sgmm2PerFrameDerivedVars

CLIF wrapper for ::kaldi::Sgmm2PerFrameDerivedVars

gselect

C++ ::std::vector< ::int32> Sgmm2PerFrameDerivedVars.gselect

nti

C++ ::kaldi::Vector< ::kaldi::BaseFloat> Sgmm2PerFrameDerivedVars.nti

resize(ngauss:int, feat_dim:int, phn_dim:int)

Calls C++ function void ::kaldi::Sgmm2PerFrameDerivedVars::Resize(int, int, int)

xt

C++ ::kaldi::Vector< ::kaldi::BaseFloat> Sgmm2PerFrameDerivedVars.xt

xti

C++ ::kaldi::Matrix< ::kaldi::BaseFloat> Sgmm2PerFrameDerivedVars.xti

zti

C++ ::kaldi::Matrix< ::kaldi::BaseFloat> Sgmm2PerFrameDerivedVars.zti

class kaldi.sgmm2.Sgmm2PerSpkDerivedVars

CLIF wrapper for ::kaldi::Sgmm2PerSpkDerivedVars

clear()

Calls C++ function void ::kaldi::Sgmm2PerSpkDerivedVars::Clear()

empty() → bool

Calls C++ function bool ::kaldi::Sgmm2PerSpkDerivedVars::Empty()

get_speaker_vector() → Vector

Calls C++ function ::kaldi::Vector<float> ::kaldi::Sgmm2PerSpkDerivedVars::GetSpeakerVector()

set_speaker_vector(v_s_in:Vector)

Calls C++ function void ::kaldi::Sgmm2PerSpkDerivedVars::SetSpeakerVector(::kaldi::Vector<float>)

class kaldi.sgmm2.Sgmm2SplitSubstatesConfig

CLIF wrapper for ::kaldi::Sgmm2SplitSubstatesConfig

max_cond

C++ ::kaldi::BaseFloat Sgmm2SplitSubstatesConfig.max_cond

min_count

C++ ::kaldi::BaseFloat Sgmm2SplitSubstatesConfig.min_count

perturb_factor

C++ ::kaldi::BaseFloat Sgmm2SplitSubstatesConfig.perturb_factor

power

C++ ::kaldi::BaseFloat Sgmm2SplitSubstatesConfig.power

register(opts:OptionsItf)

Calls C++ function void ::kaldi::Sgmm2SplitSubstatesConfig::Register(::kaldi::OptionsItf *)

split_substates

C++ ::int32 Sgmm2SplitSubstatesConfig.split_substates

kaldi.sgmm2.compute_feature_normalizing_transform(gmm:FullGmm) → Matrix

Calls C++ function void ::kaldi::ComputeFeatureNormalizingTransform(::kaldi::FullGmm, ::kaldi::Matrix<float>*)