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src/transform/lvtln.h
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// transform/lvtln.h
// Copyright 2009-2011 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_TRANSFORM_LVTLN_H_
#define KALDI_TRANSFORM_LVTLN_H_
#include <vector>
#include "base/kaldi-common.h"
#include "util/common-utils.h"
#include "transform/transform-common.h"
#include "transform/fmllr-diag-gmm.h"
namespace kaldi {
/*
Class for applying linear approximations to VTLN transforms;
see \ref transform_lvtln.
*/
class LinearVtln {
public:
LinearVtln() { } // This initializer will probably be used prior to calling
// Read().
LinearVtln(int32 dim, int32 num_classes, int32 default_class);
// This initializer sets up the
// model; the transforms will initially all be the same.
// SetTransform is used when we initialize it as "normal" VTLN.
// It's not necessary to ever call this function. "transform" is "A",
// the square part of the transform matrix.
void SetTransform(int32 i, const MatrixBase<BaseFloat> &transform);
void SetWarp(int32 i, BaseFloat warp);
BaseFloat GetWarp(int32 i) const;
// GetTransform gets the transform for class i. The caller must
// make sure the output matrix is sized Dim() by Dim().
void GetTransform(int32 i, MatrixBase<BaseFloat> *transform) const;
/// Compute the transform for the speaker.
void ComputeTransform(const FmllrDiagGmmAccs &accs,
std::string norm_type, // type of regular fMLLR computation: "none", "offset", "diag"
BaseFloat logdet_scale, // scale on logdet (1.0 is "correct" but less may work better)
MatrixBase<BaseFloat> *Ws, // output fMLLR transform, should be size dim x dim+1
int32 *class_idx, // the transform that was chosen...
BaseFloat *logdet_out,
BaseFloat *objf_impr = NULL, // versus no transform
BaseFloat *count = NULL);
void Read(std::istream &is, bool binary);
void Write(std::ostream &os, bool binary) const;
int32 Dim() const { KALDI_ASSERT(!A_.empty()); return A_[0].NumRows(); }
int32 NumClasses() const { return A_.size(); }
// This computes the offset term for this class given these
// stats.
void GetOffset(const FmllrDiagGmmAccs &speaker_stats,
int32 class_idx,
VectorBase<BaseFloat> *offset) const;
friend class LinearVtlnStats;
protected:
int32 default_class_; // transform we return if we have no data.
std::vector<Matrix<BaseFloat> > A_; // Square parts of the FMLLR matrices.
std::vector<BaseFloat> logdets_;
std::vector<BaseFloat> warps_; // This variable can be used to store the
// warp factors that each transform correspond to.
};
} // namespace kaldi
#endif // KALDI_TRANSFORM_LVTLN_H_
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