c@277: /* -*- c-basic-offset: 4 indent-tabs-mode: nil -*-  vi:set ts=8 sts=4 sw=4: */
c@277: 
c@277: /*
c@277:     QM DSP Library
c@277: 
c@277:     Centre for Digital Music, Queen Mary, University of London.
c@277:     This file copyright 2008-2009 Matthew Davies and QMUL.
c@277:     All rights reserved.
c@277: */
c@277: 
c@277: 
c@277: #ifndef TEMPOTRACKV2_H
c@277: #define TEMPOTRACKV2_H
c@277: 
c@277: #include <vector>
c@277: 
c@277: using std::vector;
c@277: 
c@279: //!!! Question: how far is this actually sample rate dependent?  I
c@279: // think it does produce plausible results for e.g. 48000 as well as
c@279: // 44100, but surely the fixed window sizes and comb filtering will
c@279: // make it prefer double or half time when run at e.g. 96000?
c@279: 
c@277: class TempoTrackV2  
c@277: {
c@277: public:
c@279:     /**
c@279:      * Construct a tempo tracker that will operate on beat detection
c@279:      * function data calculated from audio at the given sample rate
c@279:      * with the given frame increment.
c@279:      *
c@279:      * Currently the sample rate and increment are used only for the
c@279:      * conversion from beat frame location to bpm in the tempo array.
c@279:      */
c@279:     TempoTrackV2(float sampleRate, size_t dfIncrement);
c@277:     ~TempoTrackV2();
c@277: 
c@279:     // Returned beat periods are given in df increment units; tempi in bpm
c@277:     void calculateBeatPeriod(const vector<double> &df,
c@278:                              vector<double> &beatPeriod,
c@278:                              vector<double> &tempi);
c@277: 
c@279:     // Returned beat positions are given in df increment units
c@277:     void calculateBeats(const vector<double> &df,
c@277:                         const vector<double> &beatPeriod,
c@277:                         vector<double> &beats);
c@277: 
c@277: private:
c@277:     typedef vector<int> i_vec_t;
c@277:     typedef vector<vector<int> > i_mat_t;
c@277:     typedef vector<double> d_vec_t;
c@277:     typedef vector<vector<double> > d_mat_t;
c@277: 
c@279:     float m_rate;
c@279:     size_t m_increment;
c@279: 
c@277:     void adapt_thresh(d_vec_t &df);
c@277:     double mean_array(const d_vec_t &dfin, int start, int end);
c@277:     void filter_df(d_vec_t &df);
c@277:     void get_rcf(const d_vec_t &dfframe, const d_vec_t &wv, d_vec_t &rcf);
c@278:     void viterbi_decode(const d_mat_t &rcfmat, const d_vec_t &wv,
c@278:                         d_vec_t &bp, d_vec_t &tempi);
c@277:     double get_max_val(const d_vec_t &df);
c@277:     int get_max_ind(const d_vec_t &df);
c@277:     void normalise_vec(d_vec_t &df);
c@277: };
c@277: 
c@277: #endif