13
0
livetrax/libs/qm-dsp/dsp/tempotracking/TempoTrackV2.h
Paul Davis 3deba1921b add queen mary DSP library
git-svn-id: svn://localhost/ardour2/branches/3.0@9029 d708f5d6-7413-0410-9779-e7cbd77b26cf
2011-03-02 12:37:39 +00:00

74 lines
2.4 KiB
C++

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