decodable-am-sgmm2.h
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// sgmm2/decodable-am-sgmm2.h
// Copyright 2009-2012 Saarland University Microsoft Corporation
// Lukas Burget Johns Hopkins University (author: Daniel Povey)
// See ../../COPYING for clarification regarding multiple authors
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// THIS CODE IS PROVIDED *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED
// WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,
// MERCHANTABLITY OR NON-INFRINGEMENT.
// See the Apache 2 License for the specific language governing permissions and
// limitations under the License.
#ifndef KALDI_SGMM2_DECODABLE_AM_SGMM2_H_
#define KALDI_SGMM2_DECODABLE_AM_SGMM2_H_
#include <vector>
#include "base/kaldi-common.h"
#include "sgmm2/am-sgmm2.h"
#include "hmm/transition-model.h"
#include "itf/decodable-itf.h"
namespace kaldi {
class DecodableAmSgmm2 : public DecodableInterface {
public:
DecodableAmSgmm2(const AmSgmm2 &sgmm,
const TransitionModel &tm,
const Matrix<BaseFloat> &feats,
const std::vector<std::vector<int32> > &gselect,
BaseFloat log_prune,
Sgmm2PerSpkDerivedVars *spk):
sgmm_(sgmm), spk_(spk),
trans_model_(tm), feature_matrix_(&feats),
gselect_(&gselect), log_prune_(log_prune), cur_frame_(-1),
sgmm_cache_(sgmm.NumGroups(), sgmm.NumPdfs()), delete_vars_(false) {
KALDI_ASSERT(gselect.size() == static_cast<size_t>(feats.NumRows()));
}
/// This version of the constructor takes ownership of the pointers
/// "feats", "gselect" and "spk", and will delete them when it is destroyed.
DecodableAmSgmm2(const AmSgmm2 &sgmm,
const TransitionModel &tm,
const Matrix<BaseFloat> *feats,
const std::vector<std::vector<int32> > *gselect,
Sgmm2PerSpkDerivedVars *spk,
BaseFloat log_prune):
sgmm_(sgmm), spk_(spk),
trans_model_(tm), feature_matrix_(feats),
gselect_(gselect), log_prune_(log_prune), cur_frame_(-1),
sgmm_cache_(sgmm.NumGroups(), sgmm.NumPdfs()), delete_vars_(true) {
KALDI_ASSERT(gselect->size() == static_cast<size_t>(feats->NumRows()));
}
// Note, frames are numbered from zero, but transition indices are 1-based!
// This is for compatibility with OpenFST.
virtual BaseFloat LogLikelihood(int32 frame, int32 tid) {
return LogLikelihoodForPdf(frame, trans_model_.TransitionIdToPdfFast(tid));
}
int32 NumFramesReady() const { return feature_matrix_->NumRows(); }
virtual int32 NumIndices() const { return trans_model_.NumTransitionIds(); }
virtual bool IsLastFrame(int32 frame) const {
KALDI_ASSERT(frame < NumFramesReady());
return (frame == NumFramesReady() - 1);
}
virtual ~DecodableAmSgmm2();
protected:
virtual BaseFloat LogLikelihoodForPdf(int32 frame, int32 pdf_id);
const AmSgmm2 &sgmm_;
Sgmm2PerSpkDerivedVars *spk_;
const TransitionModel &trans_model_; ///< for tid to pdf mapping
const Matrix<BaseFloat> *feature_matrix_;
const std::vector<std::vector<int32> > *gselect_;
BaseFloat log_prune_;
int32 cur_frame_;
Sgmm2PerFrameDerivedVars per_frame_vars_;
Sgmm2LikelihoodCache sgmm_cache_;
bool delete_vars_; // If true, we will delete feature_matrix_, gselect_, and
// spk_ in the destructor.
private:
KALDI_DISALLOW_COPY_AND_ASSIGN(DecodableAmSgmm2);
};
class DecodableAmSgmm2Scaled : public DecodableAmSgmm2 {
public:
DecodableAmSgmm2Scaled(const AmSgmm2 &sgmm,
const TransitionModel &tm,
const Matrix<BaseFloat> &feats,
const std::vector<std::vector<int32> > &gselect,
BaseFloat log_prune,
BaseFloat scale,
Sgmm2PerSpkDerivedVars *spk)
: DecodableAmSgmm2(sgmm, tm, feats, gselect, log_prune, spk),
scale_(scale) {}
/// This version of the constructor takes ownership of the pointers
/// "feats", "gselect" and "spk", and will delete them in its
/// destructor.
DecodableAmSgmm2Scaled(const AmSgmm2 &sgmm,
const TransitionModel &tm,
const Matrix<BaseFloat> *feats,
const std::vector<std::vector<int32> > *gselect,
Sgmm2PerSpkDerivedVars *spk,
BaseFloat log_prune,
BaseFloat scale)
: DecodableAmSgmm2(sgmm, tm, feats, gselect, spk, log_prune),
scale_(scale) {}
// Note, frames are numbered from zero but transition-ids from one.
virtual BaseFloat LogLikelihood(int32 frame, int32 tid) {
return LogLikelihoodForPdf(frame, trans_model_.TransitionIdToPdfFast(tid))
* scale_;
}
private:
BaseFloat scale_;
KALDI_DISALLOW_COPY_AND_ASSIGN(DecodableAmSgmm2Scaled);
};
} // namespace kaldi
#endif // KALDI_SGMM2_DECODABLE_AM_SGMM2_H_