#include <decodable-am-diag-gmm.h>

Inheritance diagram for DecodableAmDiagGmmScaled:

Collaboration diagram for DecodableAmDiagGmmScaled:

[legend]

Public Member Functions
	DecodableAmDiagGmmScaled (const AmDiagGmm &am, const TransitionModel &tm, const Matrix< BaseFloat > &feats, BaseFloat scale, BaseFloat log_sum_exp_prune=-1.0)

	DecodableAmDiagGmmScaled (const AmDiagGmm &am, const TransitionModel &tm, BaseFloat scale, BaseFloat log_sum_exp_prune, Matrix< BaseFloat > *feats)

virtual BaseFloat	LogLikelihood (int32 frame, int32 tid)
	Returns the log likelihood, which will be negated in the decoder. More...

virtual int32	NumIndices () const
	Returns the number of states in the acoustic model (they will be indexed one-based, i.e. More...

const TransitionModel *	TransModel ()

virtual	~DecodableAmDiagGmmScaled ()

Public Member Functions inherited from DecodableAmDiagGmmUnmapped
	DecodableAmDiagGmmUnmapped (const AmDiagGmm &am, const Matrix< BaseFloat > &feats, BaseFloat log_sum_exp_prune=-1.0)
	If you set log_sum_exp_prune to a value greater than 0 it will prune in the LogSumExp operation (larger = more exact); I suggest 5. More...

virtual int32	NumFramesReady () const
	The call NumFramesReady() will return the number of frames currently available for this decodable object. More...

virtual bool	IsLastFrame (int32 frame) const
	Returns true if this is the last frame. More...

Public Member Functions inherited from DecodableInterface
virtual	~DecodableInterface ()

Private Member Functions
	KALDI_DISALLOW_COPY_AND_ASSIGN (DecodableAmDiagGmmScaled)

Private Attributes
const TransitionModel &	trans_model_

BaseFloat	scale_

Matrix< BaseFloat > *	delete_feats_

Additional Inherited Members
Protected Member Functions inherited from DecodableAmDiagGmmUnmapped
void	ResetLogLikeCache ()

virtual BaseFloat	LogLikelihoodZeroBased (int32 frame, int32 state_index)

Protected Attributes inherited from DecodableAmDiagGmmUnmapped
const AmDiagGmm &	acoustic_model_

const Matrix< BaseFloat > &	feature_matrix_

int32	previous_frame_

BaseFloat	log_sum_exp_prune_

std::vector< LikelihoodCacheRecord >	log_like_cache_

Detailed Description

Definition at line 121 of file decodable-am-diag-gmm.h.

Constructor & Destructor Documentation

◆ DecodableAmDiagGmmScaled() [1/2]

DecodableAmDiagGmmScaled	(	const AmDiagGmm &	am,
		const TransitionModel &	tm,
		const Matrix< BaseFloat > &	feats,
		BaseFloat	scale,
		BaseFloat	log_sum_exp_prune = `-1.0`
	)

inline

Definition at line 123 of file decodable-am-diag-gmm.h.

                                                               :
       DecodableAmDiagGmmUnmapped(am, feats, log_sum_exp_prune), trans_model_(tm),
       scale_(scale), delete_feats_(NULL) {}

◆ DecodableAmDiagGmmScaled() [2/2]

DecodableAmDiagGmmScaled	(	const AmDiagGmm &	am,
		const TransitionModel &	tm,
		BaseFloat	scale,
		BaseFloat	log_sum_exp_prune,
		Matrix< BaseFloat > *	feats
	)

inline

Definition at line 133 of file decodable-am-diag-gmm.h.

                                                     :
       DecodableAmDiagGmmUnmapped(am, *feats, log_sum_exp_prune),
       trans_model_(tm),  scale_(scale), delete_feats_(feats) {}

◆ ~DecodableAmDiagGmmScaled()

virtual ~DecodableAmDiagGmmScaled ( )

inlinevirtual

Definition at line 151 of file decodable-am-diag-gmm.h.

                                       {
     delete delete_feats_;
   }

Member Function Documentation

◆ KALDI_DISALLOW_COPY_AND_ASSIGN()

KALDI_DISALLOW_COPY_AND_ASSIGN ( DecodableAmDiagGmmScaled )

private

◆ LogLikelihood()

virtual BaseFloat LogLikelihood	(	int32	frame,
		int32	index
	)

inlinevirtual

Returns the log likelihood, which will be negated in the decoder.

The "frame" starts from zero. You should verify that NumFramesReady() > frame before calling this.

Reimplemented from DecodableAmDiagGmmUnmapped.

Definition at line 142 of file decodable-am-diag-gmm.h.

References DecodableAmDiagGmmUnmapped::LogLikelihoodZeroBased().

                                                           {
     return scale_*LogLikelihoodZeroBased(frame,
                                          trans_model_.TransitionIdToPdf(tid));
   }