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