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// gmm/full-gmm-inl.h
// Copyright 2009-2011 Jan Silovsky; Saarland University;
// Microsoft Corporation
// 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_INL_H_
#define KALDI_GMM_FULL_GMM_INL_H_
#include <vector>
#include "util/stl-utils.h"
namespace kaldi {
template<class Real>
void FullGmm::SetWeights(const Vector<Real> &w) {
KALDI_ASSERT(weights_.Dim() == w.Dim());
weights_.CopyFromVec(w);
valid_gconsts_ = false;
}
template<class Real>
void FullGmm::SetMeans(const Matrix<Real> &m) {
KALDI_ASSERT(means_invcovars_.NumRows() == m.NumRows()
&& means_invcovars_.NumCols() == m.NumCols());
size_t num_comp = NumGauss();
Matrix<BaseFloat> m_bf(m);
for (size_t i = 0; i < num_comp; i++) {
means_invcovars_.Row(i).AddSpVec(1.0, inv_covars_[i], m_bf.Row(i), 0.0);
}
valid_gconsts_ = false;
}
template<class Real>
void FullGmm::SetInvCovarsAndMeans(
const std::vector<SpMatrix<Real> > &invcovars, const Matrix<Real> &means) {
KALDI_ASSERT(means_invcovars_.NumRows() == means.NumRows()
&& means_invcovars_.NumCols() == means.NumCols()
&& inv_covars_.size() == invcovars.size());
size_t num_comp = NumGauss();
for (size_t i = 0; i < num_comp; i++) {
inv_covars_[i].CopyFromSp(invcovars[i]);
Vector<Real> mean_times_inv(Dim());
mean_times_inv.AddSpVec(1.0, invcovars[i], means.Row(i), 0.0);
means_invcovars_.Row(i).CopyFromVec(mean_times_inv);
}
valid_gconsts_ = false;
}
template<class Real>
void FullGmm::SetInvCovarsAndMeansInvCovars(
const std::vector<SpMatrix<Real> > &invcovars,
const Matrix<Real> &means_invcovars) {
KALDI_ASSERT(means_invcovars_.NumRows() == means_invcovars.NumRows()
&& means_invcovars_.NumCols() == means_invcovars.NumCols()
&& inv_covars_.size() == invcovars.size());
size_t num_comp = NumGauss();
for (size_t i = 0; i < num_comp; i++) {
inv_covars_[i].CopyFromSp(invcovars[i]);
}
means_invcovars_.CopyFromMat(means_invcovars);
valid_gconsts_ = false;
}
template<class Real>
void FullGmm::SetInvCovars(const std::vector<SpMatrix<Real> > &v) {
KALDI_ASSERT(inv_covars_.size() == v.size());
size_t num_comp = NumGauss();
Vector<Real> orig_mean_times_invvar(Dim());
Vector<Real> orig_mean(Dim());
Vector<Real> new_mean_times_invvar(Dim());
SpMatrix<Real> covar(Dim());
for (size_t i = 0; i < num_comp; i++) {
orig_mean_times_invvar.CopyFromVec(means_invcovars_.Row(i));
covar.CopyFromSp(inv_covars_[i]);
covar.InvertDouble();
orig_mean.AddSpVec(1.0, covar, orig_mean_times_invvar, 0.0);
new_mean_times_invvar.AddSpVec(1.0, v[i], orig_mean, 0.0);
// v[i] is already inverted covar
means_invcovars_.Row(i).CopyFromVec(new_mean_times_invvar);
inv_covars_[i].CopyFromSp(v[i]);
}
valid_gconsts_ = false;
}
template<class Real>
void FullGmm::GetCovars(std::vector<SpMatrix<Real> > *v) const {
KALDI_ASSERT(v != NULL);
v->resize(inv_covars_.size());
size_t dim = Dim();
for (size_t i = 0; i < inv_covars_.size(); i++) {
(*v)[i].Resize(dim);
(*v)[i].CopyFromSp(inv_covars_[i]);
(*v)[i].InvertDouble();
}
}
template<class Real>
void FullGmm::GetMeans(Matrix<Real> *M) const {
KALDI_ASSERT(M != NULL);
M->Resize(NumGauss(), Dim());
SpMatrix<Real> covar(Dim());
Vector<Real> mean_times_invcovar(Dim());
for (int32 i = 0; i < NumGauss(); i++) {
covar.CopyFromSp(inv_covars_[i]);
covar.InvertDouble();
mean_times_invcovar.CopyFromVec(means_invcovars_.Row(i));
(M->Row(i)).AddSpVec(1.0, covar, mean_times_invcovar, 0.0);
}
}
template<class Real>
void FullGmm::GetCovarsAndMeans(std::vector< SpMatrix<Real> > *covars,
Matrix<Real> *means) const {
KALDI_ASSERT(covars != NULL && means != NULL);
size_t dim = Dim();
size_t num_gauss = NumGauss();
covars->resize(num_gauss);
means->Resize(num_gauss, dim);
Vector<Real> mean_times_invcovar(Dim());
for (size_t i = 0; i < num_gauss; i++) {
(*covars)[i].Resize(dim);
(*covars)[i].CopyFromSp(inv_covars_[i]);
(*covars)[i].InvertDouble();
mean_times_invcovar.CopyFromVec(means_invcovars_.Row(i));
(means->Row(i)).AddSpVec(1.0, (*covars)[i], mean_times_invcovar, 0.0);
}
}
template<class Real>
void FullGmm::GetComponentMean(int32 gauss,
VectorBase<Real> *out) const {
KALDI_ASSERT(gauss < NumGauss() && out != NULL);
KALDI_ASSERT(out->Dim() == Dim());
out->SetZero();
SpMatrix<Real> covar(Dim());
Vector<Real> mean_times_invcovar(Dim());
covar.CopyFromSp(inv_covars_[gauss]);
covar.InvertDouble();
mean_times_invcovar.CopyFromVec(means_invcovars_.Row(gauss));
out->AddSpVec(1.0, covar, mean_times_invcovar, 0.0);
}
} // End namespace kaldi
#endif // KALDI_GMM_FULL_GMM_INL_H_
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