# HG changeset patch # User Adam Stark # Date 1390268695 0 # Node ID b7e3ed593fb0b27f880eac646d4e54814d38e846 flow: Created branch 'release/v0.9.0'. diff -r 000000000000 -r b7e3ed593fb0 .flow --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/.flow Tue Jan 21 01:44:55 2014 +0000 @@ -0,0 +1,8 @@ +[branchname] +master = master +develop = develop +feature = feature/ +release = release/ +hotfix = hotfix/ +support = support/ + diff -r 000000000000 -r b7e3ed593fb0 .hgignore --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/.hgignore Tue Jan 21 01:44:55 2014 +0000 @@ -0,0 +1,1 @@ +python-module/build \ No newline at end of file diff -r 000000000000 -r b7e3ed593fb0 LICENSE.txt --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/LICENSE.txt Tue Jan 21 01:44:55 2014 +0000 @@ -0,0 +1,189 @@ +GNU GENERAL PUBLIC LICENSE + +Version 3, 29 June 2007 + +Copyright © 2007 Free Software Foundation, Inc. + +Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. +Preamble + +The GNU General Public License is a free, copyleft license for software and other kinds of works. + +The licenses for most software and other practical works are designed to take away your freedom to share and change the works. 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Interpretation of Sections 15 and 16. + +If the disclaimer of warranty and limitation of liability provided above cannot be given local legal effect according to their terms, reviewing courts shall apply local law that most closely approximates an absolute waiver of all civil liability in connection with the Program, unless a warranty or assumption of liability accompanies a copy of the Program in return for a fee. + +END OF TERMS AND CONDITIONS \ No newline at end of file diff -r 000000000000 -r b7e3ed593fb0 README.md --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/README.md Tue Jan 21 01:44:55 2014 +0000 @@ -0,0 +1,33 @@ +BTrack - A Real-Time Beat Tracker +================================= + +** Version 0.9 ** + +*by Adam Stark, Matthew Davies and Mark Plumbley.* + + +About BTrack +------------ + +BTrack is a causal beat tracking algorithm intended for real-time use. It is implemented in C++ with a wrapper for Python. + +Full details of the working of the algorithm can be found in: + +* Musicians and Machines: Bridging the Semantic Gap in Live Performance, Chapter 3, A. M. Stark, PhD Thesis, Queen Mary, University of London, 2011. + +* Real-Time Beat-Synchronous Analysis of Musical Audio, A. M. Stark, M. E. P. Davies and M. D. Plumbley. In Proceedings of the 12th International Conference on Digital Audio Effects (DAFx-09), Como, Italy, September 1-4, 2009. + + +Versions +-------- + +==== 0.9 ==== + +* This is the original version of the BTrack algorithm + + + +License +------- + +BTrack is made available under the GNU General Public License, version 3. Please see the included LICENSE.txt for more details. \ No newline at end of file diff -r 000000000000 -r b7e3ed593fb0 python-module/btrack_python_module.cpp --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/python-module/btrack_python_module.cpp Tue Jan 21 01:44:55 2014 +0000 @@ -0,0 +1,362 @@ +#include +#include +#include "../src/OnsetDetectionFunction.h" +#include "../src/BTrack.h" +#include + +static PyObject * btrack_onsetdf(PyObject *dummy, PyObject *args) +{ + PyObject *arg1=NULL; + PyObject *arr1=NULL; + + if (!PyArg_ParseTuple(args, "O", &arg1)) + { + return NULL; + } + + arr1 = PyArray_FROM_OTF(arg1, NPY_DOUBLE, NPY_IN_ARRAY); + if (arr1 == NULL) + { + return NULL; + } + + + + ////////// GET INPUT DATA /////////////////// + + // get data as array + double* data = (double*) PyArray_DATA(arr1); + + // get array size + int signal_length = PyArray_Size((PyObject*)arr1); + //int k = (int) theSize; + + // get data type + char type = PyArray_DESCR(arr1)->type; + + ////////// BEGIN PROCESS /////////////////// + int hsize = 512; + int fsize = 1024; + int df_type = 6; + int numframes; + double buffer[hsize]; // buffer to hold one hopsize worth of audio samples + + + // get number of audio frames, given the hop size and signal length + numframes = (int) floor(((double) signal_length) / ((double) hsize)); + + OnsetDetectionFunction onset(hsize,fsize,df_type,1); + + double df[numframes]; + + + + /////////////////////////////////////////// + //////// Begin Processing Loop //////////// + + for (int i=0;i < numframes;i++) + { + // add new samples to frame + for (int n = 0;n < hsize;n++) + { + buffer[n] = data[(i*hsize)+n]; + } + + df[i] = onset.getDFsample(buffer); + + } + + ///////// End Processing Loop ///////////// + /////////////////////////////////////////// + + + ////////// END PROCESS /////////////////// + + + + ////////// CREATE ARRAY AND RETURN IT /////////////////// + int nd=1; + npy_intp m= numframes; + //double fArray[5] = {0,1,2,3,4}; + + PyObject* c=PyArray_SimpleNew(nd, &m, NPY_DOUBLE); + + void *arr_data = PyArray_DATA((PyArrayObject*)c); + + memcpy(arr_data, df, PyArray_ITEMSIZE((PyArrayObject*) c) * m); + + + Py_DECREF(arr1); + Py_INCREF(Py_None); + //return Py_None; + + return (PyObject *)c; + + //return Py_BuildValue("c", type); + //return Py_BuildValue("d", sum); + //return Py_BuildValue("i", k); +/* +fail: + Py_XDECREF(arr1); + Py_XDECREF(arr2); + PyArray_XDECREF_ERR(oarr); + return NULL;*/ +} + + +static PyObject * btrack_btrack(PyObject *dummy, PyObject *args) +{ + PyObject *arg1=NULL; + PyObject *arr1=NULL; + + if (!PyArg_ParseTuple(args, "O", &arg1)) + { + return NULL; + } + + arr1 = PyArray_FROM_OTF(arg1, NPY_DOUBLE, NPY_IN_ARRAY); + if (arr1 == NULL) + { + return NULL; + } + + + + ////////// GET INPUT DATA /////////////////// + + // get data as array + double* data = (double*) PyArray_DATA(arr1); + + // get array size + int signal_length = PyArray_Size((PyObject*)arr1); + //int k = (int) theSize; + + // get data type + char type = PyArray_DESCR(arr1)->type; + + ////////// BEGIN PROCESS /////////////////// + int hsize = 512; + int fsize = 1024; + int df_type = 6; + int numframes; + double buffer[hsize]; // buffer to hold one hopsize worth of audio samples + + + // get number of audio frames, given the hop size and signal length + numframes = (int) floor(((double) signal_length) / ((double) hsize)); + + OnsetDetectionFunction onset(hsize,fsize,df_type,1); + BTrack b; + + b.initialise((int) hsize); // initialise beat tracker + + // set parameters + //b.setparams(0.9,5); + + double df[numframes]; + double beats[5000]; + int beatnum = 0; + float df_val; + + /////////////////////////////////////////// + //////// Begin Processing Loop //////////// + + for (int i=0;i < numframes;i++) + { + // add new samples to frame + for (int n = 0;n < hsize;n++) + { + buffer[n] = data[(i*hsize)+n]; + } + + df[i] = onset.getDFsample(buffer); + + df_val = (float) (df[i] + 0.0001); + + b.process(df_val); // process df sample in beat tracker + + if (b.playbeat == 1) + { + beats[beatnum] = (((double) hsize) / 44100) * ((double) i); + beatnum = beatnum + 1; + } + + } + + ///////// End Processing Loop ///////////// + /////////////////////////////////////////// + + + ////////// END PROCESS /////////////////// + + double beats_out[beatnum]; // create output array + + // copy beats into output array + for (int i = 0;i < beatnum;i++) + { + beats_out[i] = beats[i]; + } + + + + ////////// CREATE ARRAY AND RETURN IT /////////////////// + int nd=1; + npy_intp m= beatnum; + //double fArray[5] = {0,1,2,3,4}; + + PyObject* c=PyArray_SimpleNew(nd, &m, NPY_DOUBLE); + + void *arr_data = PyArray_DATA((PyArrayObject*)c); + + memcpy(arr_data, beats_out, PyArray_ITEMSIZE((PyArrayObject*) c) * m); + + + Py_DECREF(arr1); + Py_INCREF(Py_None); + //return Py_None; + + return (PyObject *)c; + + //return Py_BuildValue("c", type); + //return Py_BuildValue("d", sum); + //return Py_BuildValue("i", k); + /* + fail: + Py_XDECREF(arr1); + Py_XDECREF(arr2); + PyArray_XDECREF_ERR(oarr); + return NULL;*/ +} + +static PyObject * btrack_btrack_df(PyObject *dummy, PyObject *args) +{ + PyObject *arg1=NULL; + PyObject *arr1=NULL; + + if (!PyArg_ParseTuple(args, "O", &arg1)) + { + return NULL; + } + + arr1 = PyArray_FROM_OTF(arg1, NPY_DOUBLE, NPY_IN_ARRAY); + if (arr1 == NULL) + { + return NULL; + } + + + + ////////// GET INPUT DATA /////////////////// + + // get data as array + double* data = (double*) PyArray_DATA(arr1); + + // get array size + int numframes = PyArray_Size((PyObject*)arr1); + //int k = (int) theSize; + + // get data type + char type = PyArray_DESCR(arr1)->type; + + ////////// BEGIN PROCESS /////////////////// + int hsize = 512; + + BTrack b; + + b.initialise((int) hsize); // initialise beat tracker + + // set parameters + //b.setparams(0.9,5); + + double beats[5000]; + int beatnum = 0; + float df_val; + + /////////////////////////////////////////// + //////// Begin Processing Loop //////////// + + for (int i=0;i < numframes;i++) + { + df_val = (float) (data[i] + 0.0001); + + b.process(df_val); // process df sample in beat tracker + + if (b.playbeat == 1) + { + beats[beatnum] = (((double) hsize) / 44100) * ((double) i); + beatnum = beatnum + 1; + } + + } + + ///////// End Processing Loop ///////////// + /////////////////////////////////////////// + + + ////////// END PROCESS /////////////////// + + double beats_out[beatnum]; // create output array + + + // copy beats into output array + for (int i = 0;i < beatnum;i++) + { + beats_out[i] = beats[i]; + } + + + ////////// CREATE ARRAY AND RETURN IT /////////////////// + int nd=1; + npy_intp m= beatnum; + //double fArray[5] = {0,1,2,3,4}; + + PyObject* c=PyArray_SimpleNew(nd, &m, NPY_DOUBLE); + + void *arr_data = PyArray_DATA((PyArrayObject*)c); + + memcpy(arr_data, beats_out, PyArray_ITEMSIZE((PyArrayObject*) c) * m); + + + Py_DECREF(arr1); + Py_INCREF(Py_None); + //return Py_None; + + return (PyObject *)c; + + //return Py_BuildValue("c", type); + //return Py_BuildValue("d", sum); + //return Py_BuildValue("i", k); + /* + fail: + Py_XDECREF(arr1); + Py_XDECREF(arr2); + PyArray_XDECREF_ERR(oarr); + return NULL;*/ +} + + + +static PyMethodDef btrack_methods[] = { + { "onsetdf",btrack_onsetdf,METH_VARARGS,"onset detection function"}, + { "btrack",btrack_btrack,METH_VARARGS,"beat tracker"}, + { "btrack_df",btrack_btrack_df,METH_VARARGS,"beat tracker with detection function input"}, + {NULL, NULL, 0, NULL} /* Sentinel */ +}; + +PyMODINIT_FUNC initbtrack(void) +{ + (void)Py_InitModule("btrack", btrack_methods); + import_array(); +} + +int main(int argc, char *argv[]) +{ + /* Pass argv[0] to the Python interpreter */ + Py_SetProgramName(argv[0]); + + /* Initialize the Python interpreter. Required. */ + Py_Initialize(); + + /* Add a static module */ + initbtrack(); +} \ No newline at end of file diff -r 000000000000 -r b7e3ed593fb0 python-module/setup.py --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/python-module/setup.py Tue Jan 21 01:44:55 2014 +0000 @@ -0,0 +1,16 @@ +# setup.py +# build command : python setup.py build build_ext --inplace +from numpy.distutils.core import setup, Extension +import os, numpy + +name = 'btrack' +sources = ['btrack_python_module.cpp','../src/OnsetDetectionFunction.cpp','../src/BTrack.cpp'] + +include_dirs = [ + numpy.get_include(),'/usr/local/include' + ] + +setup( name = 'BTrack', + include_dirs = include_dirs, + ext_modules = [Extension(name, sources,libraries = ['fftw3','samplerate'])] + ) \ No newline at end of file diff -r 000000000000 -r b7e3ed593fb0 src/BTrack.cpp --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/src/BTrack.cpp Tue Jan 21 01:44:55 2014 +0000 @@ -0,0 +1,673 @@ +//======================================================================= +/** @file BTrack.cpp + * @brief BTrack - a real-time beat tracker + * @author Adam Stark + * @copyright Copyright (C) 2008-2014 Queen Mary University of London + * + * 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 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ +//======================================================================= + +#include +#include +#include "BTrack.h" +#include "samplerate.h" +using namespace std; + + + + +//------------------------------------------------------------------------------- +// Constructor +BTrack :: BTrack() +{ + float rayparam = 43; + float pi = 3.14159265; + + + // initialise parameters + tightness = 5; + alpha = 0.9; + tempo = 120; + est_tempo = 120; + p_fact = 60.*44100./512.; + + m0 = 10; + beat = -1; + + playbeat = 0; + + + + + // create rayleigh weighting vector + for (int n = 0;n < 128;n++) + { + wv[n] = ((float) n / pow(rayparam,2)) * exp((-1*pow((float)-n,2)) / (2*pow(rayparam,2))); + } + + // initialise prev_delta + for (int i = 0;i < 41;i++) + { + prev_delta[i] = 1; + } + + float t_mu = 41/2; + float m_sig; + float x; + // create tempo transition matrix + m_sig = 41/8; + for (int i = 0;i < 41;i++) + { + for (int j = 0;j < 41;j++) + { + x = j+1; + t_mu = i+1; + t_tmat[i][j] = (1 / (m_sig * sqrt(2*pi))) * exp( (-1*pow((x-t_mu),2)) / (2*pow(m_sig,2)) ); + } + } + + // tempo is not fixed + tempofix = 0; +} + +//------------------------------------------------------------------------------- +// Destructor +BTrack :: ~BTrack() +{ + +} + +//------------------------------------------------------------------------------- +// Initialise with frame size and set all frame sizes accordingly +void BTrack :: initialise(int fsize) +{ + framesize = fsize; + dfbuffer_size = (512*512)/fsize; // calculate df buffer size + + bperiod = round(60/((((float) fsize)/44100)*tempo)); + + dfbuffer = new float[dfbuffer_size]; // create df_buffer + cumscore = new float[dfbuffer_size]; // create cumscore + + + // initialise df_buffer to zeros + for (int i = 0;i < dfbuffer_size;i++) + { + dfbuffer[i] = 0; + cumscore[i] = 0; + + + if ((i % ((int) round(bperiod))) == 0) + { + dfbuffer[i] = 1; + } + } +} + +//------------------------------------------------------------------------------- +// Add new sample to buffer and apply beat tracking +void BTrack :: process(float df_sample) +{ + m0--; + beat--; + playbeat = 0; + + // move all samples back one step + for (int i=0;i < (dfbuffer_size-1);i++) + { + dfbuffer[i] = dfbuffer[i+1]; + } + + // add new sample at the end + dfbuffer[dfbuffer_size-1] = df_sample; + + // update cumulative score + updatecumscore(df_sample); + + // if we are halfway between beats + if (m0 == 0) + { + predictbeat(); + } + + // if we are at a beat + if (beat == 0) + { + playbeat = 1; // indicate a beat should be output + + // recalculate the tempo + dfconvert(); + calcTempo(); + } +} + +//------------------------------------------------------------------------------- +// Set the tempo of the beat tracker +void BTrack :: settempo(float tempo) +{ + + /////////// TEMPO INDICATION RESET ////////////////// + + // firstly make sure tempo is between 80 and 160 bpm.. + while (tempo > 160) + { + tempo = tempo/2; + } + + while (tempo < 80) + { + tempo = tempo * 2; + } + + // convert tempo from bpm value to integer index of tempo probability + int tempo_index = (int) round((tempo - 80)/2); + + // now set previous tempo observations to zero + for (int i=0;i < 41;i++) + { + prev_delta[i] = 0; + } + + // set desired tempo index to 1 + prev_delta[tempo_index] = 1; + + + /////////// CUMULATIVE SCORE ARTIFICAL TEMPO UPDATE ////////////////// + + // calculate new beat period + int new_bperiod = (int) round(60/((((float) framesize)/44100)*tempo)); + + int bcounter = 1; + // initialise df_buffer to zeros + for (int i = (dfbuffer_size-1);i >= 0;i--) + { + if (bcounter == 1) + { + cumscore[i] = 150; + dfbuffer[i] = 150; + } + else + { + cumscore[i] = 10; + dfbuffer[i] = 10; + } + + bcounter++; + + if (bcounter > new_bperiod) + { + bcounter = 1; + } + } + + /////////// INDICATE THAT THIS IS A BEAT ////////////////// + + // beat is now + beat = 0; + + // offbeat is half of new beat period away + m0 = (int) round(((float) new_bperiod)/2); +} + + +//------------------------------------------------------------------------------- +// fix tempo to roughly around some value +void BTrack :: fixtempo(float tempo) +{ + // firstly make sure tempo is between 80 and 160 bpm.. + while (tempo > 160) + { + tempo = tempo/2; + } + + while (tempo < 80) + { + tempo = tempo * 2; + } + + // convert tempo from bpm value to integer index of tempo probability + int tempo_index = (int) round((tempo - 80)/2); + + // now set previous fixed previous tempo observation values to zero + for (int i=0;i < 41;i++) + { + prev_delta_fix[i] = 0; + } + + // set desired tempo index to 1 + prev_delta_fix[tempo_index] = 1; + + // set the tempo fix flag + tempofix = 1; +} + +//------------------------------------------------------------------------------- +// do not fix the tempo anymore +void BTrack :: unfixtempo() +{ + // set the tempo fix flag + tempofix = 0; +} + +//------------------------------------------------------------------------------- +// Convert detection function from N samples to 512 +void BTrack :: dfconvert() +{ + float output[512]; + + double src_ratio = 512.0/((double) dfbuffer_size); + int BUFFER_LEN = dfbuffer_size; + int output_len; + SRC_DATA src_data ; + + //output_len = (int) floor (((double) BUFFER_LEN) * src_ratio) ; + output_len = 512; + + src_data.data_in = dfbuffer; + src_data.input_frames = BUFFER_LEN; + + src_data.src_ratio = src_ratio; + + src_data.data_out = output; + src_data.output_frames = output_len; + + src_simple (&src_data, SRC_SINC_BEST_QUALITY, 1); + + for (int i = 0;i < output_len;i++) + { + df512[i] = src_data.data_out[i]; + } +} + +//------------------------------------------------------------------------------- +// To calculate the current tempo expressed as the beat period in detection function samples +void BTrack :: calcTempo() +{ + // adaptive threshold on input + adapt_thresh(df512,512); + + // calculate auto-correlation function of detection function + acf_bal(df512); + + // calculate output of comb filterbank + getrcfoutput(); + + + // adaptive threshold on rcf + adapt_thresh(rcf,128); + + + int t_index; + int t_index2; + // calculate tempo observation vector from bperiod observation vector + for (int i = 0;i < 41;i++) + { + t_index = (int) round(p_fact / ((float) ((2*i)+80))); + t_index2 = (int) round(p_fact / ((float) ((4*i)+160))); + + + t_obs[i] = rcf[t_index-1] + rcf[t_index2-1]; + } + + + float maxval; + float maxind; + float curval; + + // if tempo is fixed then always use a fixed set of tempi as the previous observation probability function + if (tempofix == 1) + { + for (int k = 0;k < 41;k++) + { + prev_delta[k] = prev_delta_fix[k]; + } + } + + for (int j=0;j < 41;j++) + { + maxval = -1; + for (int i = 0;i < 41;i++) + { + curval = prev_delta[i]*t_tmat[i][j]; + + if (curval > maxval) + { + maxval = curval; + } + } + + delta[j] = maxval*t_obs[j]; + } + + + normalise(delta,41); + + maxind = -1; + maxval = -1; + + for (int j=0;j < 41;j++) + { + if (delta[j] > maxval) + { + maxval = delta[j]; + maxind = j; + } + + prev_delta[j] = delta[j]; + } + + bperiod = round((60.0*44100.0)/(((2*maxind)+80)*((float) framesize))); + + if (bperiod > 0) + { + est_tempo = 60.0/((((float) framesize) / 44100.0)*bperiod); + } + + //cout << bperiod << endl; +} + +//------------------------------------------------------------------------------- +// calculates an adaptive threshold which is used to remove low level energy from detection function and emphasise peaks +void BTrack :: adapt_thresh(float x[],int N) +{ + //int N = 512; // length of df + int i = 0; + int k,t = 0; + float x_thresh[N]; + + int p_post = 7; + int p_pre = 8; + + t = min(N,p_post); // what is smaller, p_post of df size. This is to avoid accessing outside of arrays + + // find threshold for first 't' samples, where a full average cannot be computed yet + for (i = 0;i <= t;i++) + { + k = min((i+p_pre),N); + x_thresh[i] = mean_array(x,1,k); + } + // find threshold for bulk of samples across a moving average from [i-p_pre,i+p_post] + for (i = t+1;i < N-p_post;i++) + { + x_thresh[i] = mean_array(x,i-p_pre,i+p_post); + } + // for last few samples calculate threshold, again, not enough samples to do as above + for (i = N-p_post;i < N;i++) + { + k = max((i-p_post),1); + x_thresh[i] = mean_array(x,k,N); + } + + // subtract the threshold from the detection function and check that it is not less than 0 + for (i = 0;i < N;i++) + { + x[i] = x[i] - x_thresh[i]; + if (x[i] < 0) + { + x[i] = 0; + } + } +} + +//------------------------------------------------------------------------------- +// returns the output of the comb filter +void BTrack :: getrcfoutput() +{ + int numelem; + + for (int i = 0;i < 128;i++) + { + rcf[i] = 0; + } + + numelem = 4; + + for (int i = 2;i <= 127;i++) // max beat period + { + for (int a = 1;a <= numelem;a++) // number of comb elements + { + for (int b = 1-a;b <= a-1;b++) // general state using normalisation of comb elements + { + rcf[i-1] = rcf[i-1] + (acf[(a*i+b)-1]*wv[i-1])/(2*a-1); // calculate value for comb filter row + } + } + } +} + +//------------------------------------------------------------------------------- +// calculates the balanced autocorrelation of the smoothed detection function +void BTrack :: acf_bal(float df_thresh[]) +{ + int l, n = 0; + float sum, tmp; + + // for l lags from 0-511 + for (l = 0;l < 512;l++) + { + sum = 0; + + // for n samples from 0 - (512-lag) + for (n = 0;n < (512-l);n++) + { + tmp = df_thresh[n] * df_thresh[n+l]; // multiply current sample n by sample (n+l) + sum = sum + tmp; // add to sum + } + + acf[l] = sum / (512-l); // weight by number of mults and add to acf buffer + } +} + + +//------------------------------------------------------------------------------- +// calculates the mean of values in an array from index locations [start,end] +float BTrack :: mean_array(float array[],int start,int end) +{ + int i; + double sum = 0; + + int length = end - start; + + // find sum + for (i = start;i < end;i++) + { + sum = sum + array[i]; + } + + if (length > 0) + { + return sum / length; // average and return + } + else + { + return 0; + } +} + +//------------------------------------------------------------------------------- +// normalise the array +void BTrack :: normalise(float array[],int N) +{ + double sum = 0; + + for (int i = 0;i < N;i++) + { + if (array[i] > 0) + { + sum = sum + array[i]; + } + } + + if (sum > 0) + { + for (int i = 0;i < N;i++) + { + array[i] = array[i] / sum; + } + } +} + +//------------------------------------------------------------------------------- +// plot contents of detection function buffer +void BTrack :: plotdfbuffer() +{ + for (int i=0;i < dfbuffer_size;i++) + { + cout << dfbuffer[i] << endl; + } + + cout << "--------------------------------" << endl; +} + +//------------------------------------------------------------------------------- +// update the cumulative score +void BTrack :: updatecumscore(float df_sample) +{ + int start, end, winsize; + float max; + + start = dfbuffer_size - round(2*bperiod); + end = dfbuffer_size - round(bperiod/2); + winsize = end-start+1; + + float w1[winsize]; + float v = -2*bperiod; + float wcumscore; + + + // create window + for (int i = 0;i < winsize;i++) + { + w1[i] = exp((-1*pow(tightness*log(-v/bperiod),2))/2); + v = v+1; + } + + // calculate new cumulative score value + max = 0; + int n = 0; + for (int i=start;i <= end;i++) + { + wcumscore = cumscore[i]*w1[n]; + + if (wcumscore > max) + { + max = wcumscore; + } + n++; + } + + + // shift cumulative score back one + for (int i = 0;i < (dfbuffer_size-1);i++) + { + cumscore[i] = cumscore[i+1]; + } + + // add new value to cumulative score + cumscore[dfbuffer_size-1] = ((1-alpha)*df_sample) + (alpha*max); + + cscoreval = cumscore[dfbuffer_size-1]; + + //cout << cumscore[dfbuffer_size-1] << endl; + +} + +//------------------------------------------------------------------------------- +// plot contents of detection function buffer +void BTrack :: predictbeat() +{ + int winsize = (int) bperiod; + float fcumscore[dfbuffer_size + winsize]; + float w2[winsize]; + // copy cumscore to first part of fcumscore + for (int i = 0;i < dfbuffer_size;i++) + { + fcumscore[i] = cumscore[i]; + } + + // create future window + float v = 1; + for (int i = 0;i < winsize;i++) + { + w2[i] = exp((-1*pow((v - (bperiod/2)),2)) / (2*pow((bperiod/2) ,2))); + v++; + } + + // create past window + v = -2*bperiod; + int start = dfbuffer_size - round(2*bperiod); + int end = dfbuffer_size - round(bperiod/2); + int pastwinsize = end-start+1; + float w1[pastwinsize]; + + for (int i = 0;i < pastwinsize;i++) + { + w1[i] = exp((-1*pow(tightness*log(-v/bperiod),2))/2); + v = v+1; + } + + + + // calculate future cumulative score + float max; + int n; + float wcumscore; + for (int i = dfbuffer_size;i < (dfbuffer_size+winsize);i++) + { + start = i - round(2*bperiod); + end = i - round(bperiod/2); + + max = 0; + n = 0; + for (int k=start;k <= end;k++) + { + wcumscore = fcumscore[k]*w1[n]; + + if (wcumscore > max) + { + max = wcumscore; + } + n++; + } + + fcumscore[i] = max; + } + + + // predict beat + max = 0; + n = 0; + + for (int i = dfbuffer_size;i < (dfbuffer_size+winsize);i++) + { + wcumscore = fcumscore[i]*w2[n]; + + if (wcumscore > max) + { + max = wcumscore; + beat = n; + } + + n++; + } + + + // set beat + beat = beat; + + // set next prediction time + m0 = beat+round(bperiod/2); + + +} \ No newline at end of file diff -r 000000000000 -r b7e3ed593fb0 src/BTrack.h --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/src/BTrack.h Tue Jan 21 01:44:55 2014 +0000 @@ -0,0 +1,99 @@ +//======================================================================= +/** @file BTrack.h + * @brief BTrack - a real-time beat tracker + * @author Adam Stark + * @copyright Copyright (C) 2008-2014 Queen Mary University of London + * + * 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 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ +//======================================================================= + +#ifndef __BTRACK_H +#define __BTRACK_H + +//#include "fftw3.h" + +class BTrack { + +public: + BTrack(); // constructor + ~BTrack(); // destructor + + void initialise(int fsize); + void process(float df_sample); + void plotdfbuffer(); + void updatecumscore(float df_sample); + void predictbeat(); + void dfconvert(); + void calcTempo(); + void adapt_thresh(float x[],int N); + float mean_array(float array[],int start,int end); + void normalise(float array[],int N); + void acf_bal(float df_thresh[]); + void getrcfoutput(); + void settempo(float tempo); + void fixtempo(float tempo); + void unfixtempo(); + + int playbeat; + float cscoreval; + float est_tempo; + +private: + + // buffers + float *dfbuffer; // to hold detection function + float df512[512]; // to hold resampled detection function + float *cumscore; // to hold cumulative score + + float acf[512]; // to hold autocorrelation function + + float wv[128]; // to hold weighting vector + + float rcf[128]; // to hold comb filter output + float t_obs[41]; // to hold tempo version of comb filter output + + float delta[41]; // to hold final tempo candidate array + float prev_delta[41]; // previous delta + float prev_delta_fix[41]; // fixed tempo version of previous delta + + float t_tmat[41][41]; // transition matrix + + + // parameters + float tightness; + float alpha; + float bperiod; + float tempo; + + + float p_fact; + + + // + int m0; // indicates when the next point to predict the next beat is + int beat; + + int dfbuffer_size; + + + int framesize; + + + int tempofix; + + +}; + +#endif diff -r 000000000000 -r b7e3ed593fb0 src/OnsetDetectionFunction.cpp --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/src/OnsetDetectionFunction.cpp Tue Jan 21 01:44:55 2014 +0000 @@ -0,0 +1,805 @@ +//======================================================================= +/** @file OnsetDetectionFunction.cpp + * @brief A class for calculating onset detection functions + * @author Adam Stark + * @copyright Copyright (C) 2008-2014 Queen Mary University of London + * + * 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 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ +//======================================================================= + +#include +#include +#include "OnsetDetectionFunction.h" +using namespace std; + +//------------------------------------------------------------------------------- +// Constructor +OnsetDetectionFunction :: OnsetDetectionFunction() +{ + // indicate that we have not initialised yet + initialised = 0; + + // set pi + pi = 3.14159265358979; + + // initialise with hopsize = 512, framesize = 1024, complex spectral difference DF and hanning window + initialise(512,1024,6,1); +} + + +//------------------------------------------------------------------------------- +// Constructor (with arguments) +OnsetDetectionFunction :: OnsetDetectionFunction(int arg_hsize,int arg_fsize,int arg_df_type,int arg_win_type) +{ + // indicate that we have not initialised yet + initialised = 0; + + // set pi + pi = 3.14159265358979; + + // initialise with arguments to constructor + initialise(arg_hsize,arg_fsize,arg_df_type,arg_win_type); +} + + +//-------------------------------------------------------------------------------------- +// Destructor +OnsetDetectionFunction :: ~OnsetDetectionFunction() +{ + // destroy fft plan + fftw_destroy_plan(p); + fftw_free(in); + fftw_free(out); + + // deallocate memory + delete [] frame; + frame = NULL; + delete [] window; + window = NULL; + delete [] wframe; + wframe = NULL; + delete [] mag; + mag = NULL; + delete [] mag_old; + mag_old = NULL; + delete [] phase; + phase = NULL; + delete [] phase_old; + phase_old = NULL; + delete [] phase_old_2; + phase_old_2 = NULL; +} + +//------------------------------------------------------------------------------- +// Initialisation +void OnsetDetectionFunction :: initialise(int arg_hsize,int arg_fsize,int arg_df_type,int arg_win_type) +{ + if (initialised == 1) // if we have already initialised some buffers and an FFT plan + { + ////////////////////////////////// + // TIDY UP FIRST - If initialise is called after the class has been initialised + // then we want to free up memory and cancel existing FFT plans + + // destroy fft plan + fftw_destroy_plan(p); + fftw_free(in); + fftw_free(out); + + + // deallocate memory + delete [] frame; + frame = NULL; + delete [] window; + window = NULL; + delete [] wframe; + wframe = NULL; + delete [] mag; + mag = NULL; + delete [] mag_old; + mag_old = NULL; + delete [] phase; + phase = NULL; + delete [] phase_old; + phase_old = NULL; + delete [] phase_old_2; + phase_old_2 = NULL; + + ////// END TIDY UP /////////////// + ////////////////////////////////// + } + + hopsize = arg_hsize; // set hopsize + framesize = arg_fsize; // set framesize + + df_type = arg_df_type; // set detection function type + + // initialise buffers + frame = new double[framesize]; + window = new double[framesize]; + wframe = new double[framesize]; + + mag = new double[framesize]; + mag_old = new double[framesize]; + + phase = new double[framesize]; + phase_old = new double[framesize]; + phase_old_2 = new double[framesize]; + + + // set the window to the specified type + switch (arg_win_type){ + case 0: + set_win_rectangular(); // Rectangular window + break; + case 1: + set_win_hanning(); // Hanning Window + break; + case 2: + set_win_hamming(); // Hamming Window + break; + case 3: + set_win_blackman(); // Blackman Window + break; + case 4: + set_win_tukey(); // Tukey Window + break; + default: + set_win_hanning(); // DEFAULT: Hanning Window + } + + + + + // initialise previous magnitude spectrum to zero + for (int i = 0;i < framesize;i++) + { + mag_old[i] = 0.0; + phase_old[i] = 0.0; + phase_old_2[i] = 0.0; + frame[i] = 0.0; + } + + energy_sum_old = 0.0; // initialise previous energy sum value to zero + + /* Init fft */ + in = (fftw_complex*) fftw_malloc(sizeof(fftw_complex) * framesize); // complex array to hold fft data + out = (fftw_complex*) fftw_malloc(sizeof(fftw_complex) * framesize); // complex array to hold fft data + p = fftw_plan_dft_1d(framesize, in, out, FFTW_FORWARD, FFTW_ESTIMATE); // FFT plan initialisation + + initialised = 1; +} + +//-------------------------------------------------------------------------------------- +// set the detection function type to that specified by the argument +void OnsetDetectionFunction :: set_df_type(int arg_df_type) +{ + df_type = arg_df_type; // set detection function type +} + + +//-------------------------------------------------------------------------------------- +// calculates a single detection function sample from a single audio frame. +double OnsetDetectionFunction :: getDFsample(double inputbuffer[]) +{ + double df_sample; + + // shift audio samples back in frame by hop size + for (int i = 0; i < (framesize-hopsize);i++) + { + frame[i] = frame[i+hopsize]; + } + + // add new samples to frame from input buffer + int j = 0; + for (int i = (framesize-hopsize);i < framesize;i++) + { + frame[i] = inputbuffer[j]; + j++; + } + + switch (df_type){ + case 0: + df_sample = energy_envelope(); // calculate energy envelope detection function sample + break; + case 1: + df_sample = energy_difference(); // calculate half-wave rectified energy difference detection function sample + break; + case 2: + df_sample = spectral_difference(); // calculate spectral difference detection function sample + break; + case 3: + df_sample = spectral_difference_hwr(); // calculate spectral difference detection function sample (half wave rectified) + break; + case 4: + df_sample = phase_deviation(); // calculate phase deviation detection function sample (half wave rectified) + break; + case 5: + df_sample = complex_spectral_difference(); // calcualte complex spectral difference detection function sample + break; + case 6: + df_sample = complex_spectral_difference_hwr(); // calcualte complex spectral difference detection function sample (half-wave rectified) + break; + case 7: + df_sample = high_frequency_content(); // calculate high frequency content detection function sample + break; + case 8: + df_sample = high_frequency_spectral_difference(); // calculate high frequency spectral difference detection function sample + break; + case 9: + df_sample = high_frequency_spectral_difference_hwr(); // calculate high frequency spectral difference detection function (half-wave rectified) + break; + default: + df_sample = 1.0; + } + + return df_sample; +} + + +//-------------------------------------------------------------------------------------- +// performs the fft, storing the complex result in 'out' +void OnsetDetectionFunction :: perform_FFT() +{ + int fsize2 = (framesize/2); + + // window frame and copy to complex array, swapping the first and second half of the signal + for (int i = 0;i < fsize2;i++) + { + in[i][0] = frame[i+fsize2] * window[i+fsize2]; + in[i][1] = 0.0; + in[i+fsize2][0] = frame[i] * window[i]; + in[i+fsize2][1] = 0.0; + } + + // perform the fft + fftw_execute(p); +} + +//////////////////////////////////////////////////////////////////////////////////////////////// +//////////////////////////////////////////////////////////////////////////////////////////////// +////////////////////////////// Methods for Detection Functions ///////////////////////////////// + +//-------------------------------------------------------------------------------------- +// calculates an energy envelope detection function sample +double OnsetDetectionFunction :: energy_envelope() +{ + double sum; + + sum = 0; // initialise sum + + // sum the squares of the samples + for (int i = 0;i < framesize;i++) + { + sum = sum + (frame[i]*frame[i]); + } + + return sum; // return sum +} + +//-------------------------------------------------------------------------------------- +// calculates a half-wave rectified energy difference detection function sample +double OnsetDetectionFunction :: energy_difference() +{ + double sum; + double sample; + + sum = 0; // initialise sum + + // sum the squares of the samples + for (int i = 0;i < framesize;i++) + { + sum = sum + (frame[i]*frame[i]); + } + + sample = sum - energy_sum_old; // sample is first order difference in energy + + energy_sum_old = sum; // store energy value for next calculation + + if (sample > 0) + { + return sample; // return difference + } + else + { + return 0; + } +} + +//-------------------------------------------------------------------------------------- +// calculates a spectral difference detection function sample +double OnsetDetectionFunction :: spectral_difference() +{ + double diff; + double sum; + + // perform the FFT + perform_FFT(); + + // compute first (N/2)+1 mag values + for (int i = 0;i < (framesize/2)+1;i++) + { + mag[i] = sqrt(pow(out[i][0],2) + pow(out[i][1],2)); + } + // mag spec symmetric above (N/2)+1 so copy previous values + for (int i = (framesize/2)+1;i < framesize;i++) + { + mag[i] = mag[framesize-i]; + } + + sum = 0; // initialise sum to zero + + for (int i = 0;i < framesize;i++) + { + // calculate difference + diff = mag[i] - mag_old[i]; + + // ensure all difference values are positive + if (diff < 0) + { + diff = diff*-1; + } + + // add difference to sum + sum = sum+diff; + + // store magnitude spectrum bin for next detection function sample calculation + mag_old[i] = mag[i]; + } + + return sum; +} + +//-------------------------------------------------------------------------------------- +// calculates a spectral difference detection function sample +double OnsetDetectionFunction :: spectral_difference_hwr() +{ + double diff; + double sum; + + // perform the FFT + perform_FFT(); + + // compute first (N/2)+1 mag values + for (int i = 0;i < (framesize/2)+1;i++) + { + mag[i] = sqrt(pow(out[i][0],2) + pow(out[i][1],2)); + } + // mag spec symmetric above (N/2)+1 so copy previous values + for (int i = (framesize/2)+1;i < framesize;i++) + { + mag[i] = mag[framesize-i]; + } + + sum = 0; // initialise sum to zero + + for (int i = 0;i < framesize;i++) + { + // calculate difference + diff = mag[i] - mag_old[i]; + + // only add up positive differences + if (diff > 0) + { + // add difference to sum + sum = sum+diff; + } + + + + // store magnitude spectrum bin for next detection function sample calculation + mag_old[i] = mag[i]; + } + + return sum; +} + + +//-------------------------------------------------------------------------------------- +// calculates a phase deviation detection function sample +double OnsetDetectionFunction :: phase_deviation() +{ + double dev,pdev; + double sum; + + // perform the FFT + perform_FFT(); + + sum = 0; // initialise sum to zero + + // compute phase values from fft output and sum deviations + for (int i = 0;i < framesize;i++) + { + // calculate phase value + phase[i] = atan2(out[i][1],out[i][0]); + + // calculate magnitude value + mag[i] = sqrt(pow(out[i][0],2) + pow(out[i][1],2)); + + + // if bin is not just a low energy bin then examine phase deviation + if (mag[i] > 0.1) + { + dev = phase[i] - (2*phase_old[i]) + phase_old_2[i]; // phase deviation + pdev = princarg(dev); // wrap into [-pi,pi] range + + // make all values positive + if (pdev < 0) + { + pdev = pdev*-1; + } + + // add to sum + sum = sum + pdev; + } + + // store values for next calculation + phase_old_2[i] = phase_old[i]; + phase_old[i] = phase[i]; + } + + return sum; +} + +//-------------------------------------------------------------------------------------- +// calculates a complex spectral difference detection function sample +double OnsetDetectionFunction :: complex_spectral_difference() +{ + double dev,pdev; + double sum; + double mag_diff,phase_diff; + double value; + + // perform the FFT + perform_FFT(); + + sum = 0; // initialise sum to zero + + // compute phase values from fft output and sum deviations + for (int i = 0;i < framesize;i++) + { + // calculate phase value + phase[i] = atan2(out[i][1],out[i][0]); + + // calculate magnitude value + mag[i] = sqrt(pow(out[i][0],2) + pow(out[i][1],2)); + + + // phase deviation + dev = phase[i] - (2*phase_old[i]) + phase_old_2[i]; + + // wrap into [-pi,pi] range + pdev = princarg(dev); + + + // calculate magnitude difference (real part of Euclidean distance between complex frames) + mag_diff = mag[i] - mag_old[i]; + + // calculate phase difference (imaginary part of Euclidean distance between complex frames) + phase_diff = -mag[i]*sin(pdev); + + + + // square real and imaginary parts, sum and take square root + value = sqrt(pow(mag_diff,2) + pow(phase_diff,2)); + + + // add to sum + sum = sum + value; + + + // store values for next calculation + phase_old_2[i] = phase_old[i]; + phase_old[i] = phase[i]; + mag_old[i] = mag[i]; + } + + return sum; +} + +//-------------------------------------------------------------------------------------- +// calculates a complex spectral difference detection function sample (half-wave rectified) +double OnsetDetectionFunction :: complex_spectral_difference_hwr() +{ + double dev,pdev; + double sum; + double mag_diff,phase_diff; + double value; + + // perform the FFT + perform_FFT(); + + sum = 0; // initialise sum to zero + + // compute phase values from fft output and sum deviations + for (int i = 0;i < framesize;i++) + { + // calculate phase value + phase[i] = atan2(out[i][1],out[i][0]); + + // calculate magnitude value + mag[i] = sqrt(pow(out[i][0],2) + pow(out[i][1],2)); + + + // phase deviation + dev = phase[i] - (2*phase_old[i]) + phase_old_2[i]; + + // wrap into [-pi,pi] range + pdev = princarg(dev); + + + // calculate magnitude difference (real part of Euclidean distance between complex frames) + mag_diff = mag[i] - mag_old[i]; + + // if we have a positive change in magnitude, then include in sum, otherwise ignore (half-wave rectification) + if (mag_diff > 0) + { + // calculate phase difference (imaginary part of Euclidean distance between complex frames) + phase_diff = -mag[i]*sin(pdev); + + // square real and imaginary parts, sum and take square root + value = sqrt(pow(mag_diff,2) + pow(phase_diff,2)); + + // add to sum + sum = sum + value; + } + + // store values for next calculation + phase_old_2[i] = phase_old[i]; + phase_old[i] = phase[i]; + mag_old[i] = mag[i]; + } + + return sum; +} + + +//-------------------------------------------------------------------------------------- +// calculates a high frequency content detection function sample +double OnsetDetectionFunction :: high_frequency_content() +{ + double sum; + double mag_diff; + + // perform the FFT + perform_FFT(); + + sum = 0; // initialise sum to zero + + // compute phase values from fft output and sum deviations + for (int i = 0;i < framesize;i++) + { + // calculate magnitude value + mag[i] = sqrt(pow(out[i][0],2) + pow(out[i][1],2)); + + + sum = sum + (mag[i]*((double) (i+1))); + + // store values for next calculation + mag_old[i] = mag[i]; + } + + return sum; +} + +//-------------------------------------------------------------------------------------- +// calculates a high frequency spectral difference detection function sample +double OnsetDetectionFunction :: high_frequency_spectral_difference() +{ + double sum; + double mag_diff; + + // perform the FFT + perform_FFT(); + + sum = 0; // initialise sum to zero + + // compute phase values from fft output and sum deviations + for (int i = 0;i < framesize;i++) + { + // calculate magnitude value + mag[i] = sqrt(pow(out[i][0],2) + pow(out[i][1],2)); + + // calculate difference + mag_diff = mag[i] - mag_old[i]; + + if (mag_diff < 0) + { + mag_diff = -mag_diff; + } + + sum = sum + (mag_diff*((double) (i+1))); + + // store values for next calculation + mag_old[i] = mag[i]; + } + + return sum; +} + +//-------------------------------------------------------------------------------------- +// calculates a high frequency spectral difference detection function sample (half-wave rectified) +double OnsetDetectionFunction :: high_frequency_spectral_difference_hwr() +{ + double sum; + double mag_diff; + + // perform the FFT + perform_FFT(); + + sum = 0; // initialise sum to zero + + // compute phase values from fft output and sum deviations + for (int i = 0;i < framesize;i++) + { + // calculate magnitude value + mag[i] = sqrt(pow(out[i][0],2) + pow(out[i][1],2)); + + // calculate difference + mag_diff = mag[i] - mag_old[i]; + + if (mag_diff > 0) + { + sum = sum + (mag_diff*((double) (i+1))); + } + + // store values for next calculation + mag_old[i] = mag[i]; + } + + return sum; +} + + +//////////////////////////////////////////////////////////////////////////////////////////////// +//////////////////////////////////////////////////////////////////////////////////////////////// +////////////////////////////// Methods to Calculate Windows //////////////////////////////////// + +//-------------------------------------------------------------------------------------- +// HANNING: set the window in the buffer 'window' to a Hanning window +void OnsetDetectionFunction :: set_win_hanning() +{ + double N; // variable to store framesize minus 1 + + N = (double) (framesize-1); // framesize minus 1 + + // Hanning window calculation + for (int n = 0;n < framesize;n++) + { + window[n] = 0.5*(1-cos(2*pi*(n/N))); + } +} + +//-------------------------------------------------------------------------------------- +// HAMMING: set the window in the buffer 'window' to a Hanning window +void OnsetDetectionFunction :: set_win_hamming() +{ + double N; // variable to store framesize minus 1 + double n_val; // double version of index 'n' + + N = (double) (framesize-1); // framesize minus 1 + n_val = 0; + + // Hamming window calculation + for (int n = 0;n < framesize;n++) + { + window[n] = 0.54 - (0.46*cos(2*pi*(n_val/N))); + n_val = n_val+1; + } +} + +//-------------------------------------------------------------------------------------- +// BLACKMAN: set the window in the buffer 'window' to a Blackman window +void OnsetDetectionFunction :: set_win_blackman() +{ + double N; // variable to store framesize minus 1 + double n_val; // double version of index 'n' + + N = (double) (framesize-1); // framesize minus 1 + n_val = 0; + + // Blackman window calculation + for (int n = 0;n < framesize;n++) + { + window[n] = 0.42 - (0.5*cos(2*pi*(n_val/N))) + (0.08*cos(4*pi*(n_val/N))); + n_val = n_val+1; + } +} + +//-------------------------------------------------------------------------------------- +// TUKEY: set the window in the buffer 'window' to a Tukey window +void OnsetDetectionFunction :: set_win_tukey() +{ + double N; // variable to store framesize minus 1 + double n_val; // double version of index 'n' + double alpha; // alpha [default value = 0.5]; + + int lim1,lim2; + + alpha = 0.5; + + N = (double) (framesize-1); // framesize minus 1 + + // Tukey window calculation + + n_val = (double) (-1*((framesize/2)))+1; + + for (int n = 0;n < framesize;n++) // left taper + { + if ((n_val >= 0) && (n_val <= (alpha*(N/2)))) + { + window[n] = 1.0; + } + else if ((n_val <= 0) && (n_val >= (-1*alpha*(N/2)))) + { + window[n] = 1.0; + } + else + { + window[n] = 0.5*(1+cos(pi*(((2*n_val)/(alpha*N))-1))); + } + + n_val = n_val+1; + } + +} + +//-------------------------------------------------------------------------------------- +// RECTANGULAR: set the window in the buffer 'window' to a Rectangular window +void OnsetDetectionFunction :: set_win_rectangular() +{ + // Rectangular window calculation + for (int n = 0;n < framesize;n++) + { + window[n] = 1.0; + } +} + + + +//////////////////////////////////////////////////////////////////////////////////////////////// +//////////////////////////////////////////////////////////////////////////////////////////////// +///////////////////////////////// Other Handy Methods ////////////////////////////////////////// + +//-------------------------------------------------------------------------------------- +// set phase values to the range [-pi,pi] +double OnsetDetectionFunction :: princarg(double phaseval) +{ + // if phase value is less than or equal to -pi then add 2*pi + while (phaseval <= (-pi)) + { + phaseval = phaseval + (2*pi); + } + + // if phase value is larger than pi, then subtract 2*pi + while (phaseval > pi) + { + phaseval = phaseval - (2*pi); + } + + return phaseval; +} + + + + + + + + + + + + + diff -r 000000000000 -r b7e3ed593fb0 src/OnsetDetectionFunction.h --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/src/OnsetDetectionFunction.h Tue Jan 21 01:44:55 2014 +0000 @@ -0,0 +1,92 @@ +//======================================================================= +/** @file OnsetDetectionFunction.h + * @brief A class for calculating onset detection functions + * @author Adam Stark + * @copyright Copyright (C) 2008-2014 Queen Mary University of London + * + * 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 3 of the License, or + * (at your option) any later version. + * + * This program is distributed in the hope that it will be useful, + * but WITHOUT ANY WARRANTY; without even the implied warranty of + * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + * GNU General Public License for more details. + * + * You should have received a copy of the GNU General Public License + * along with this program. If not, see . + */ +//======================================================================= + +#ifndef __RTONSETDF_H +#define __RTONSETDF_H + +#include "fftw3.h" + +class OnsetDetectionFunction +{ +public: + OnsetDetectionFunction(); // Constructor + OnsetDetectionFunction(int arg_hsize,int arg_fsize,int arg_df_type,int arg_win_type); // Constructor (with arguments) + ~OnsetDetectionFunction(); // Destructor + void initialise(int arg_hsize,int arg_fsize,int arg_df_type,int arg_win_type); // Initialisation Function + + double getDFsample(double inputbuffer[]); // process input buffer and calculate detection function sample + void set_df_type(int arg_df_type); // set the detection function type + +private: + + void perform_FFT(); // perform the FFT on the data in 'frame' + + double energy_envelope(); // calculate energy envelope detection function sample + double energy_difference(); // calculate energy difference detection function sample + double spectral_difference(); // calculate spectral difference detection function sample + double spectral_difference_hwr(); // calculate spectral difference (half wave rectified) detection function sample + double phase_deviation(); // calculate phase deviation detection function sample + double complex_spectral_difference(); // calculate complex spectral difference detection function sample + double complex_spectral_difference_hwr(); // calculate complex spectral difference detection function sample (half-wave rectified) + double high_frequency_content(); // calculate high frequency content detection function sample + double high_frequency_spectral_difference(); // calculate high frequency spectral difference detection function sample + double high_frequency_spectral_difference_hwr(); // calculate high frequency spectral difference detection function sample (half-wave rectified) + + void set_win_rectangular(); // calculate a Rectangular window + void set_win_hanning(); // calculate a Hanning window + void set_win_hamming(); // calculate a Hamming window + void set_win_blackman(); // calculate a Blackman window + void set_win_tukey(); // calculate a Tukey window + + + double princarg(double phaseval); // set phase values between [-pi, pi] + + + double pi; // pi, the constant + + int framesize; // audio framesize + int hopsize; // audio hopsize + int df_type; // type of detection function + + fftw_plan p; // create fft plan + fftw_complex *in; // to hold complex fft values for input + fftw_complex *out; // to hold complex fft values for output + + int initialised; // flag indicating whether buffers and FFT plans have been initialised + + + double *frame; // audio frame + double *window; // window + double *wframe; // windowed frame + + double energy_sum_old; // to hold the previous energy sum value + + double *mag; // magnitude spectrum + double *mag_old; // previous magnitude spectrum + + double *phase; // FFT phase values + double *phase_old; // previous phase values + double *phase_old_2; // second order previous phase values + +}; + + +#endif \ No newline at end of file