tomwalters@0: // Copyright 2008-2010, University of Cambridge
tomwalters@0: //
tomwalters@0: // AIM-C: A C++ implementation of the Auditory Image Model
tomwalters@0: // http://www.acousticscale.org/AIMC
tomwalters@0: //
tomwalters@0: // This program is free software: you can redistribute it and/or modify
tomwalters@0: // it under the terms of the GNU General Public License as published by
tomwalters@0: // the Free Software Foundation, either version 3 of the License, or
tomwalters@0: // (at your option) any later version.
tomwalters@0: //
tomwalters@0: // This program is distributed in the hope that it will be useful,
tomwalters@0: // but WITHOUT ANY WARRANTY; without even the implied warranty of
tomwalters@0: // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
tomwalters@0: // GNU General Public License for more details.
tomwalters@0: //
tomwalters@0: // You should have received a copy of the GNU General Public License
tomwalters@0: // along with this program.  If not, see <http://www.gnu.org/licenses/>.
tomwalters@0: 
tomwalters@0: /*! \file ModuleGaussians.h
tomwalters@0:  *  \brief Gaussian features
tomwalters@0:  */
tomwalters@0: 
tomwalters@0: /*! \author Tom Walters <tcw24@cam.ac.uk>
tomwalters@0:  *  \date created 2008/06/23
tomwalters@0:  *  \version \$Id: ModuleGaussians.h 2 2010-02-02 12:59:50Z tcw $
tomwalters@0:  */
tomwalters@0: 
tomwalters@0: #ifndef _AIMC_MODULE_FEATURES_GAUSSIANS_H_
tomwalters@0: #define _AIMC_MODULE_FEATURES_GAUSSIANS_H_
tomwalters@0: 
tomwalters@0: #include <vector>
tomwalters@0: 
tomwalters@0: #include "Support/Module.h"
tomwalters@0: #include "Support/Parameters.h"
tomwalters@0: #include "Support/SignalBank.h"
tomwalters@0: 
tomwalters@0: /*! \class ModuleGaussians "Modules/Features/ModuleGaussians.h"
tomwalters@0:  *  \brief
tomwalters@0:  */
tomwalters@0: namespace aimc {
tomwalters@0: using std::vector;
tomwalters@0: class ModuleGaussians : public Module
tomwalters@0: {
tomwalters@0:  public:
tomwalters@0:   ModuleGaussians(Parameters *pParam);
tomwalters@0:   virtual ~ModuleGaussians();
tomwalters@0: 
tomwalters@0:   //! \brief Process a buffer
tomwalters@0:   virtual void Process(const SignalBank &input);
tomwalters@0: 
tomwalters@0:   //! \brief Reset the internal state of the module
tomwalters@0:   void Reset();
tomwalters@0: 
tomwalters@0:  private:
tomwalters@0:     /*! \brief Prepare the module
tomwalters@0:      *  \param input Input signal
tomwalters@0:      *  \param output true on success false on failure
tomwalters@0:      */
tomwalters@0:   virtual bool InitializeInternal(const SignalBank &input);
tomwalters@0: 
tomwalters@0:   bool RubberGMMCore(int iNumComponents, bool bDoInit);
tomwalters@0: 
tomwalters@0:   /*! \brief Number of Gaussian Components
tomwalters@0:    */
tomwalters@0:   int m_iParamNComp;
tomwalters@0: 
tomwalters@0:   /*! \brief Constant variance of Gaussians
tomwalters@0:    */
tomwalters@0:   float m_fParamVar;
tomwalters@0: 
tomwalters@0:   /*! \brief posterior probability expansion exponent
tomwalters@0:    */
tomwalters@0:   float m_fParamPosteriorExp;
tomwalters@0: 
tomwalters@0:   /*! \brief Maximum Number of iterations
tomwalters@0:    */
tomwalters@0:   unsigned int m_iParamMaxIt;
tomwalters@0: 
tomwalters@0:   /*! \brief convergence criterion
tomwalters@0:    */
tomwalters@0:   float m_fParamPriorsConverged;
tomwalters@0: 
tomwalters@0:   /*! \brief The amplitudes of the components (priors)
tomwalters@0:    */
tomwalters@0:   vector<float> m_pA;
tomwalters@0: 
tomwalters@0:   /*! \brief The means of the components (priors)
tomwalters@0:    */
tomwalters@0:   vector<float> m_pMu;
tomwalters@0: 
tomwalters@0:   /*! \brief The spectral profile of the incoming buffer
tomwalters@0:    */
tomwalters@0:   vector<float> m_pSpectralProfile;
tomwalters@0: 
tomwalters@0:   int m_iNumChannels;
tomwalters@0: };
tomwalters@0: }  // namespace aimc
tomwalters@0: 
tomwalters@0: #endif  // _AIMC_MODULE_FEATURES_GAUSSIANS_H_