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1 /* -*- c-basic-offset: 4 indent-tabs-mode: nil -*- vi:set ts=8 sts=4 sw=4: */
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2
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3 /*
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4 QM Vamp Plugin Set
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5
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6 Centre for Digital Music, Queen Mary, University of London.
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7 All rights reserved.
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8 */
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9
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10 #include "BarBeatTrack.h"
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11
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12 #include <dsp/onsets/DetectionFunction.h>
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13 #include <dsp/onsets/PeakPicking.h>
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14 #include <dsp/tempotracking/TempoTrackV2.h>
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15 #include <dsp/tempotracking/DownBeat.h>
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16 #include <maths/MathUtilities.h>
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17
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18 using std::string;
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19 using std::vector;
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20 using std::cerr;
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21 using std::endl;
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22
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23 float BarBeatTracker::m_stepSecs = 0.01161; // 512 samples at 44100
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24
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25 class BarBeatTrackerData
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26 {
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27 public:
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28 BarBeatTrackerData(float rate, const DFConfig &config) : dfConfig(config) {
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29 df = new DetectionFunction(config);
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30 // decimation factor aims at resampling to c. 3KHz; must be power of 2
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31 int factor = MathUtilities::nextPowerOfTwo(rate / 3000);
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32 std::cerr << "BarBeatTrackerData: factor = " << factor << std::endl;
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33 downBeat = new DownBeat(rate, factor, config.stepSize);
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34 }
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35 ~BarBeatTrackerData() {
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36 delete df;
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37 delete downBeat;
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38 }
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39 void reset() {
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40 delete df;
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41 df = new DetectionFunction(dfConfig);
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42 dfOutput.clear();
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43 downBeat->resetAudioBuffer();
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44 origin = Vamp::RealTime::zeroTime;
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45 }
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46
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47 DFConfig dfConfig;
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48 DetectionFunction *df;
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49 DownBeat *downBeat;
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50 vector<double> dfOutput;
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51 Vamp::RealTime origin;
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52 };
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53
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54
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55 BarBeatTracker::BarBeatTracker(float inputSampleRate) :
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56 Vamp::Plugin(inputSampleRate),
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57 m_d(0),
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58 m_bpb(4)
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59 {
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60 }
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61
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62 BarBeatTracker::~BarBeatTracker()
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63 {
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64 delete m_d;
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65 }
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66
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67 string
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68 BarBeatTracker::getIdentifier() const
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69 {
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70 return "qm-barbeattracker";
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71 }
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72
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73 string
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74 BarBeatTracker::getName() const
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75 {
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76 return "Bar and Beat Tracker";
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77 }
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78
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79 string
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80 BarBeatTracker::getDescription() const
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81 {
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82 return "Estimate bar and beat locations";
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83 }
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84
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85 string
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86 BarBeatTracker::getMaker() const
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87 {
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88 return "Queen Mary, University of London";
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89 }
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90
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91 int
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92 BarBeatTracker::getPluginVersion() const
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93 {
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94 return 1;
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95 }
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96
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97 string
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98 BarBeatTracker::getCopyright() const
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99 {
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100 return "Plugin by Matthew Davies, Christian Landone and Chris Cannam. Copyright (c) 2006-2009 QMUL - All Rights Reserved";
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101 }
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102
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103 BarBeatTracker::ParameterList
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104 BarBeatTracker::getParameterDescriptors() const
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105 {
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106 ParameterList list;
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107
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108 ParameterDescriptor desc;
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109
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110 desc.identifier = "bpb";
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111 desc.name = "Beats per Bar";
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112 desc.description = "The number of beats in each bar";
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113 desc.minValue = 2;
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114 desc.maxValue = 16;
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115 desc.defaultValue = 4;
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116 desc.isQuantized = true;
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117 desc.quantizeStep = 1;
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118 list.push_back(desc);
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119
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120 return list;
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121 }
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122
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123 float
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124 BarBeatTracker::getParameter(std::string name) const
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125 {
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126 if (name == "bpb") return m_bpb;
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127 return 0.0;
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128 }
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129
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130 void
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131 BarBeatTracker::setParameter(std::string name, float value)
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132 {
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133 if (name == "bpb") m_bpb = lrintf(value);
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134 }
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135
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136 bool
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137 BarBeatTracker::initialise(size_t channels, size_t stepSize, size_t blockSize)
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138 {
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139 if (m_d) {
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140 delete m_d;
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141 m_d = 0;
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142 }
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143
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144 if (channels < getMinChannelCount() ||
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145 channels > getMaxChannelCount()) {
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146 std::cerr << "BarBeatTracker::initialise: Unsupported channel count: "
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147 << channels << std::endl;
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148 return false;
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149 }
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150
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151 if (stepSize != getPreferredStepSize()) {
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152 std::cerr << "ERROR: BarBeatTracker::initialise: Unsupported step size for this sample rate: "
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153 << stepSize << " (wanted " << (getPreferredStepSize()) << ")" << std::endl;
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154 return false;
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155 }
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156
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157 if (blockSize != getPreferredBlockSize()) {
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158 std::cerr << "WARNING: BarBeatTracker::initialise: Sub-optimal block size for this sample rate: "
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159 << blockSize << " (wanted " << getPreferredBlockSize() << ")" << std::endl;
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160 // return false;
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161 }
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162
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163 DFConfig dfConfig;
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164 dfConfig.DFType = DF_COMPLEXSD;
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165 dfConfig.stepSize = stepSize;
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166 dfConfig.frameLength = blockSize;
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167 dfConfig.dbRise = 3;
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168 dfConfig.adaptiveWhitening = false;
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169 dfConfig.whiteningRelaxCoeff = -1;
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170 dfConfig.whiteningFloor = -1;
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171
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172 m_d = new BarBeatTrackerData(m_inputSampleRate, dfConfig);
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173 m_d->downBeat->setBeatsPerBar(m_bpb);
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174 return true;
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175 }
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176
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177 void
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178 BarBeatTracker::reset()
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179 {
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180 if (m_d) m_d->reset();
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181 }
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182
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183 size_t
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184 BarBeatTracker::getPreferredStepSize() const
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185 {
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186 size_t step = size_t(m_inputSampleRate * m_stepSecs + 0.0001);
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187 // std::cerr << "BarBeatTracker::getPreferredStepSize: input sample rate is " << m_inputSampleRate << ", step size is " << step << std::endl;
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188 return step;
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189 }
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190
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191 size_t
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192 BarBeatTracker::getPreferredBlockSize() const
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193 {
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194 size_t theoretical = getPreferredStepSize() * 2;
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195
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196 // I think this is not necessarily going to be a power of two, and
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197 // the host might have a problem with that, but I'm not sure we
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198 // can do much about it here
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199 return theoretical;
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200 }
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201
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202 BarBeatTracker::OutputList
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203 BarBeatTracker::getOutputDescriptors() const
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204 {
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205 OutputList list;
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206
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207 OutputDescriptor beat;
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208 beat.identifier = "beats";
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209 beat.name = "Beats";
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210 beat.description = "Beat locations labelled with metrical position";
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211 beat.unit = "";
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212 beat.hasFixedBinCount = true;
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213 beat.binCount = 0;
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214 beat.sampleType = OutputDescriptor::VariableSampleRate;
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215 beat.sampleRate = 1.0 / m_stepSecs;
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216
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217 OutputDescriptor bars;
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218 bars.identifier = "bars";
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219 bars.name = "Bars";
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220 bars.description = "Bar locations";
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221 bars.unit = "";
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222 bars.hasFixedBinCount = true;
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223 bars.binCount = 0;
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224 bars.sampleType = OutputDescriptor::VariableSampleRate;
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225 bars.sampleRate = 1.0 / m_stepSecs;
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226
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227 OutputDescriptor beatcounts;
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228 beatcounts.identifier = "beatcounts";
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229 beatcounts.name = "Beat Count";
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230 beatcounts.description = "Beat counter function";
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231 beatcounts.unit = "";
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232 beatcounts.hasFixedBinCount = true;
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233 beatcounts.binCount = 1;
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234 beatcounts.sampleType = OutputDescriptor::VariableSampleRate;
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235 beatcounts.sampleRate = 1.0 / m_stepSecs;
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236
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237 list.push_back(beat);
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238 list.push_back(bars);
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239 list.push_back(beatcounts);
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240
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241 return list;
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242 }
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243
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244 BarBeatTracker::FeatureSet
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245 BarBeatTracker::process(const float *const *inputBuffers,
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246 Vamp::RealTime timestamp)
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247 {
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248 if (!m_d) {
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249 cerr << "ERROR: BarBeatTracker::process: "
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250 << "BarBeatTracker has not been initialised"
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251 << endl;
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252 return FeatureSet();
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253 }
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254
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255 // We use time domain input, because DownBeat requires it -- so we
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256 // use the time-domain version of DetectionFunction::process which
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257 // does its own FFT. It requires doubles as input, so we need to
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258 // make a temporary copy
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259
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260 // We only support a single input channel
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261
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262 const int fl = m_d->dfConfig.frameLength;
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263 double dfinput[fl];
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264 for (int i = 0; i < fl; ++i) dfinput[i] = inputBuffers[0][i];
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265
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266 double output = m_d->df->process(dfinput);
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267
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268 if (m_d->dfOutput.empty()) m_d->origin = timestamp;
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269
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270 std::cerr << "df[" << m_d->dfOutput.size() << "] is " << output << std::endl;
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271 m_d->dfOutput.push_back(output);
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272
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273 // Downsample and store the incoming audio block.
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274 // We have an overlap on the incoming audio stream (step size is
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275 // half block size) -- this function is configured to take only a
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276 // step size's worth, so effectively ignoring the overlap. Note
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277 // however that this means we omit the last blocksize - stepsize
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278 // samples completely for the purposes of barline detection
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279 // (hopefully not a problem)
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280 m_d->downBeat->pushAudioBlock(inputBuffers[0]);
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281
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282 return FeatureSet();
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283 }
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284
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285 BarBeatTracker::FeatureSet
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286 BarBeatTracker::getRemainingFeatures()
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287 {
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288 if (!m_d) {
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289 cerr << "ERROR: BarBeatTracker::getRemainingFeatures: "
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290 << "BarBeatTracker has not been initialised"
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291 << endl;
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292 return FeatureSet();
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293 }
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294
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295 return barBeatTrack();
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296 }
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297
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298 BarBeatTracker::FeatureSet
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299 BarBeatTracker::barBeatTrack()
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300 {
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301 vector<double> df;
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302 vector<double> beatPeriod;
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303 vector<double> tempi;
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304
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305 for (size_t i = 2; i < m_d->dfOutput.size(); ++i) { // discard first two elts
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306 df.push_back(m_d->dfOutput[i]);
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307 beatPeriod.push_back(0.0);
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308 }
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309 if (df.empty()) return FeatureSet();
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310
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311 TempoTrackV2 tt(m_inputSampleRate, m_d->dfConfig.stepSize);
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312 tt.calculateBeatPeriod(df, beatPeriod, tempi);
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313
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314 vector<double> beats;
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315 tt.calculateBeats(df, beatPeriod, beats);
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316
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317 vector<int> downbeats;
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318 size_t downLength = 0;
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319 const float *downsampled = m_d->downBeat->getBufferedAudio(downLength);
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320 m_d->downBeat->findDownBeats(downsampled, downLength, beats, downbeats);
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321
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322 // std::cerr << "BarBeatTracker: found downbeats at: ";
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323 // for (int i = 0; i < downbeats.size(); ++i) std::cerr << downbeats[i] << " " << std::endl;
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324
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325 FeatureSet returnFeatures;
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326
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327 char label[20];
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328
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329 int dbi = 0;
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330 int beat = 0;
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331 int bar = 0;
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332
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333 for (size_t i = 0; i < beats.size(); ++i) {
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334
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335 size_t frame = beats[i] * m_d->dfConfig.stepSize;
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336
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337 if (dbi < downbeats.size() && i == downbeats[dbi]) {
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338 beat = 0;
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339 ++bar;
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340 ++dbi;
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341 } else {
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342 ++beat;
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343 }
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344
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345 // outputs are:
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346 //
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347 // 0 -> beats
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348 // 1 -> bars
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349 // 2 -> beat counter function
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350
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351 Feature feature;
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352 feature.hasTimestamp = true;
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353 feature.timestamp = m_d->origin + Vamp::RealTime::frame2RealTime
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354 (frame, lrintf(m_inputSampleRate));
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355
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356 sprintf(label, "%d", beat + 1);
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357 feature.label = label;
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358 returnFeatures[0].push_back(feature); // labelled beats
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359
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360 feature.values.push_back(beat + 1);
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361 returnFeatures[2].push_back(feature); // beat function
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362
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363 if (beat == 0) {
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364 feature.values.clear();
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365 sprintf(label, "%d", bar);
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366 feature.label = label;
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367 returnFeatures[1].push_back(feature); // bars
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368 }
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369 }
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370
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371 return returnFeatures;
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372 }
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373
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