full-gmm-normal.h

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// gmm/full-gmm-normal.h

// Copyright 2009-2011  Microsoft Corporation;  Saarland University;
//                      Yanmin Qian
//                      Univ. Erlangen-Nuremberg, Korbinian Riedhammer

// 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_GMM_FULL_GMM_NORMAL_H_
#define KALDI_GMM_FULL_GMM_NORMAL_H_ 1

#include <vector>

#include "base/kaldi-common.h"
#include "gmm/model-common.h"
#include "gmm/full-gmm.h"
#include "matrix/matrix-lib.h"

namespace kaldi {

class FullGmm;

class FullGmmNormal {
 public:
  FullGmmNormal() { }

  explicit FullGmmNormal(const FullGmm &gmm) {
    CopyFromFullGmm(gmm);
  }

  void Resize(int32 nMix, int32 dim);

  void CopyFromFullGmm(const FullGmm &fullgmm);

  void CopyToFullGmm(FullGmm *fullgmm, GmmFlagsType flags = kGmmAll);

  void Rand(MatrixBase<BaseFloat> *feats);

  Vector<double> weights_;              
  Matrix<double> means_;                
  std::vector<SpMatrix<double> > vars_;  

  KALDI_DISALLOW_COPY_AND_ASSIGN(FullGmmNormal);
};

}  // End namespace kaldi

#endif  // KALDI_GMM_FULL_GMM_NORMAL_H_