Paul Davis
3deba1921b
git-svn-id: svn://localhost/ardour2/branches/3.0@9029 d708f5d6-7413-0410-9779-e7cbd77b26cf
74 lines
2.4 KiB
C++
74 lines
2.4 KiB
C++
/* -*- c-basic-offset: 4 indent-tabs-mode: nil -*- vi:set ts=8 sts=4 sw=4: */
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/*
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QM DSP Library
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Centre for Digital Music, Queen Mary, University of London.
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This file copyright 2008-2009 Matthew Davies and QMUL.
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This program is free software; you can redistribute it and/or
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modify it under the terms of the GNU General Public License as
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published by the Free Software Foundation; either version 2 of the
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License, or (at your option) any later version. See the file
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COPYING included with this distribution for more information.
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*/
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#ifndef TEMPOTRACKV2_H
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#define TEMPOTRACKV2_H
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#include <vector>
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using std::vector;
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//!!! Question: how far is this actually sample rate dependent? I
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// think it does produce plausible results for e.g. 48000 as well as
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// 44100, but surely the fixed window sizes and comb filtering will
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// make it prefer double or half time when run at e.g. 96000?
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class TempoTrackV2
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{
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public:
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/**
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* Construct a tempo tracker that will operate on beat detection
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* function data calculated from audio at the given sample rate
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* with the given frame increment.
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*
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* Currently the sample rate and increment are used only for the
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* conversion from beat frame location to bpm in the tempo array.
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*/
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TempoTrackV2(float sampleRate, size_t dfIncrement);
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~TempoTrackV2();
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// Returned beat periods are given in df increment units; tempi in bpm
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void calculateBeatPeriod(const vector<double> &df,
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vector<double> &beatPeriod,
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vector<double> &tempi);
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// Returned beat positions are given in df increment units
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void calculateBeats(const vector<double> &df,
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const vector<double> &beatPeriod,
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vector<double> &beats);
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private:
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typedef vector<int> i_vec_t;
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typedef vector<vector<int> > i_mat_t;
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typedef vector<double> d_vec_t;
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typedef vector<vector<double> > d_mat_t;
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float m_rate;
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size_t m_increment;
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void adapt_thresh(d_vec_t &df);
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double mean_array(const d_vec_t &dfin, int start, int end);
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void filter_df(d_vec_t &df);
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void get_rcf(const d_vec_t &dfframe, const d_vec_t &wv, d_vec_t &rcf);
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void viterbi_decode(const d_mat_t &rcfmat, const d_vec_t &wv,
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d_vec_t &bp, d_vec_t &tempi);
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double get_max_val(const d_vec_t &df);
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int get_max_ind(const d_vec_t &df);
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void normalise_vec(d_vec_t &df);
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};
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#endif
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