mle-diag-gmm.h

Go to the documentation of this file.

// gmm/mle-diag-gmm.h

// Copyright 2009-2012  Saarland University;  Georg Stemmer;
//                      Microsoft Corporation;  Jan Silovsky; Yanmin Qian
//                      Johns Hopkins University (author: Daniel Povey)
//                      Cisco Systems (author: Neha Agrawal)

// 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_MLE_DIAG_GMM_H_
#define KALDI_GMM_MLE_DIAG_GMM_H_ 1

#include "gmm/diag-gmm.h"
#include "gmm/diag-gmm-normal.h"
#include "gmm/model-common.h"
#include "itf/options-itf.h"

namespace kaldi {

struct MleDiagGmmOptions {
  Vector<double> variance_floor_vector;
  BaseFloat min_gaussian_weight;
  BaseFloat min_gaussian_occupancy;
  double min_variance;
  bool remove_low_count_gaussians;
  MleDiagGmmOptions() {
    // don't set var floor vector by default.
    min_gaussian_weight     = 1.0e-05;
    min_gaussian_occupancy  = 10.0;
    min_variance            = 0.001;
    remove_low_count_gaussians = true;
  }
  void Register(OptionsItf *opts) {
    std::string module = "MleDiagGmmOptions: ";
    opts->Register("min-gaussian-weight", &min_gaussian_weight,
                 module+"Min Gaussian weight before we remove it.");
    opts->Register("min-gaussian-occupancy", &min_gaussian_occupancy,
                 module+"Minimum occupancy to update a Gaussian.");
    opts->Register("min-variance", &min_variance,
                 module+"Variance floor (absolute variance).");
    opts->Register("remove-low-count-gaussians", &remove_low_count_gaussians,
                 module+"If true, remove Gaussians that fall below the floors.");
  }
};


struct MapDiagGmmOptions {
  BaseFloat mean_tau;

  BaseFloat variance_tau;

  BaseFloat weight_tau;

  MapDiagGmmOptions(): mean_tau(10.0),
                             variance_tau(50.0),
                             weight_tau(10.0) { }

  void Register(OptionsItf *opts) {
    opts->Register("mean-tau", &mean_tau,
                   "Tau value for updating means.");
    opts->Register("variance-tau", &mean_tau,
                   "Tau value for updating variances (note: only relevant if "
                   "update-flags contains \"v\".");
    opts->Register("weight-tau", &weight_tau,
                   "Tau value for updating weights.");
  }
};



class AccumDiagGmm {
 public:
  AccumDiagGmm(): dim_(0), num_comp_(0), flags_(0) { }
  explicit AccumDiagGmm(const DiagGmm &gmm, GmmFlagsType flags) {
    Resize(gmm, flags);
  }
  // provide copy constructor.
  explicit AccumDiagGmm(const AccumDiagGmm &other);

  void Read(std::istream &in_stream, bool binary, bool add);
  void Write(std::ostream &out_stream, bool binary) const;

  void Resize(int32 num_gauss, int32 dim, GmmFlagsType flags);
  void Resize(const DiagGmm &gmm, GmmFlagsType flags);

  int32 NumGauss() const { return num_comp_; }
  int32 Dim() const { return dim_; }

  void SetZero(GmmFlagsType flags);
  void Scale(BaseFloat f, GmmFlagsType flags);

  void AccumulateForComponent(const VectorBase<BaseFloat> &data,
                              int32 comp_index, BaseFloat weight);

  void AccumulateFromPosteriors(const VectorBase<BaseFloat> &data,
                                const VectorBase<BaseFloat> &gauss_posteriors);

  BaseFloat AccumulateFromDiag(const DiagGmm &gmm,
                               const VectorBase<BaseFloat> &data,
                               BaseFloat frame_posterior);

  BaseFloat AccumulateFromDiagMultiThreaded(
      const DiagGmm &gmm,
      const MatrixBase<BaseFloat> &data,
      const VectorBase<BaseFloat> &frame_weights,
      int32 num_threads);


  void AddStatsForComponent(int32 comp_id,
                            double occ,
                            const VectorBase<double> &x_stats,
                            const VectorBase<double> &x2_stats);

  void Add(double scale, const AccumDiagGmm &acc);

  void SmoothStats(BaseFloat tau);

  void SmoothWithAccum(BaseFloat tau, const AccumDiagGmm &src_acc);

  void SmoothWithModel(BaseFloat tau, const DiagGmm &src_gmm);

  // Const accessors
  GmmFlagsType Flags() const { return flags_; }
  const VectorBase<double> &occupancy() const { return occupancy_; }
  const MatrixBase<double> &mean_accumulator() const { return mean_accumulator_; }
  const MatrixBase<double> &variance_accumulator() const { return variance_accumulator_; }

  // used in testing.
  void AssertEqual(const AccumDiagGmm &other);
 private:
  int32 dim_;
  int32 num_comp_;
  GmmFlagsType flags_;

  Vector<double> occupancy_;
  Matrix<double> mean_accumulator_;
  Matrix<double> variance_accumulator_;
};


GmmFlagsType AugmentGmmFlags(GmmFlagsType f);


inline void AccumDiagGmm::Resize(const DiagGmm &gmm, GmmFlagsType flags) {
  Resize(gmm.NumGauss(), gmm.Dim(), flags);
}

void MleDiagGmmUpdate(const MleDiagGmmOptions &config,
                      const AccumDiagGmm &diag_gmm_acc,
                      GmmFlagsType flags,
                      DiagGmm *gmm,
                      BaseFloat *obj_change_out,
                      BaseFloat *count_out,
                      int32 *floored_elements_out = NULL,
                      int32 *floored_gauss_out = NULL,
                      int32 *removed_gauss_out = NULL);

void MapDiagGmmUpdate(const MapDiagGmmOptions &config,
                      const AccumDiagGmm &diag_gmm_acc,
                      GmmFlagsType flags,
                      DiagGmm *gmm,
                      BaseFloat *obj_change_out,
                      BaseFloat *count_out);

BaseFloat MlObjective(const DiagGmm &gmm,
                      const AccumDiagGmm &diaggmm_acc);

}  // End namespace kaldi


#endif  // KALDI_GMM_MLE_DIAG_GMM_H_