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/*************************************************************************/
/* */
/* Centre for Speech Technology Research */
/* University of Edinburgh, UK */
/* Copyright (c) 1995,1996 */
/* All Rights Reserved. */
/* */
/* Permission is hereby granted, free of charge, to use and distribute */
/* this software and its documentation without restriction, including */
/* without limitation the rights to use, copy, modify, merge, publish, */
/* distribute, sublicense, and/or sell copies of this work, and to */
/* permit persons to whom this work is furnished to do so, subject to */
/* the following conditions: */
/* 1. The code must retain the above copyright notice, this list of */
/* conditions and the following disclaimer. */
/* 2. Any modifications must be clearly marked as such. */
/* 3. Original authors' names are not deleted. */
/* 4. The authors' names are not used to endorse or promote products */
/* derived from this software without specific prior written */
/* permission. */
/* */
/* THE UNIVERSITY OF EDINBURGH AND THE CONTRIBUTORS TO THIS WORK */
/* DISCLAIM ALL WARRANTIES WITH REGARD TO THIS SOFTWARE, INCLUDING */
/* ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS, IN NO EVENT */
/* SHALL THE UNIVERSITY OF EDINBURGH NOR THE CONTRIBUTORS BE LIABLE */
/* FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES */
/* WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN */
/* AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, */
/* ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF */
/* THIS SOFTWARE. */
/* */
/*************************************************************************/
/* Author : Simon King */
/* Date : June 1998 */
/*-----------------------------------------------------------------------*/
/* Dynamical models for ASR */
/* */
/*=======================================================================*/
#include <cstdlib>
#include <cstdio>
#include <fstream>
#include "EST.h"
#include "EST_model_types.h"
// for now, CSMM means continuous-state Markov model
class CSMM
{
public:
refcounted_EST_DMatrixP F;
refcounted_EST_DMatrixP H;
refcounted_EST_DVectorP u_v;
refcounted_EST_DMatrixP Q_v;
refcounted_EST_DVectorP u_w;
refcounted_EST_DMatrixP Q_w;
refcounted_EST_DVectorP mean_initial_x;
stats_accumulator stats;
};
bool operator ==(const CSMM &, const CSMM &);
ostream& operator <<(ostream &s, const CSMM &);
/// somewhere to keep the model parameters
struct CSMM_parameter_set
{
EST_TKVL<EST_String,refcounted_EST_DMatrixP> matrix_set;
EST_TKVL<EST_String,refcounted_EST_DVectorP> vector_set;
};
/// somewhere to keep the models
struct CSMM_set
{
EST_TKVL<EST_String,CSMM> model_set;
CSMM_parameter_set parameter_set;
};
ostream& operator <<(ostream &s, const CSMM_set &ms);
bool
create_empty_CSMM(EST_String model_name,
CSMM_set &model_set,
const int model_order,
const int observation_order);
/// at last, some interesting functions
bool
E_step(CSMM &model,
EST_DMatrix &mean_initial_covar_x,
const EST_TrackList &train_data,
const bool trace);
bool
M_step(CSMM &model,
const bool trace);
bool
EM_shared_hidden_space(CSMM_set &models,
const int model_order,
EST_DMatrix &mean_initial_covar_x,
const EST_TrackList &train_data,
const int iterations,
const bool trace);
EST_write_status
save_CSMM_set(CSMM_set &model_set, const EST_String &dirname, const EST_String &type);
EST_read_status
load_CSMM_set(CSMM_set &model_set, const EST_String &dirname);
double
CSMM_Mahalanobis_distance(const CSMM &model, const EST_Track &t);
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