/*************************************************************************/ /* */ /* 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 #include #include #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 matrix_set; EST_TKVL vector_set; }; /// somewhere to keep the models struct CSMM_set { EST_TKVL 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);