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1 //
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2 // NoveltyCurveProcessor.cpp
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3 // Tempogram
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4 //
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5 // Created by Carl Bussey on 10/07/2014.
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6 // Copyright (c) 2014 Carl Bussey. All rights reserved.
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7 //
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8
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9 //Spectrogram dimensions should be flipped?
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10
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11 #include "NoveltyCurveProcessor.h"
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12 using namespace std;
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13
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14 NoveltyCurveProcessor::NoveltyCurveProcessor(const float &samplingFrequency, const size_t &fftLength, const size_t &compressionConstant) :
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15 m_samplingFrequency(samplingFrequency),
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16 m_fftLength(fftLength),
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17 m_blockSize(fftLength/2 + 1),
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18 m_compressionConstant(compressionConstant),
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19 m_numberOfBands(5),
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20 m_pBandBoundaries(0),
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21 m_pBandSum(0)
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22 {
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23 initialise();
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24 }
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25
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26 NoveltyCurveProcessor::~NoveltyCurveProcessor(){
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27 cleanup();
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28 }
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29
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30 //allocate all space and set variable
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31 void
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32 NoveltyCurveProcessor::initialise(){
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33
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34 // for bandwise processing, the band is split into 5 bands. m_pBandBoundaries contains the upper and lower bin boundaries for each band.
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35 m_pBandBoundaries = new int[m_numberOfBands+1];
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36 m_pBandBoundaries[0] = 0;
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37 for (unsigned int band = 1; band < m_numberOfBands; band++){
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38 float lowFreq = 500*pow(2.5, (int)band-1);
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39 m_pBandBoundaries[band] = m_fftLength*lowFreq/m_samplingFrequency;
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40 }
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41 m_pBandBoundaries[m_numberOfBands] = m_blockSize;
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42
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43 m_pBandSum = new float [m_numberOfBands];
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44 }
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45
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46 //delete space allocated in initialise()
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47 void
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48 NoveltyCurveProcessor::cleanup(){
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49 delete []m_pBandBoundaries;
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50 m_pBandBoundaries = 0;
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51 delete []m_pBandSum;
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52 m_pBandSum = 0;
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53 }
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54
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55 //subtract local average of novelty curve
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56 //uses m_hannWindow as filter
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57 void NoveltyCurveProcessor::subtractLocalAverage(vector<float> &noveltyCurve, const size_t &smoothLength) const
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58 {
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59 int numberOfBlocks = noveltyCurve.size();
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60 vector<float> localAverage(numberOfBlocks);
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61
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62 float * m_hannWindow = new float[smoothLength];
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63 WindowFunction::hanning(m_hannWindow, smoothLength, true);
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64
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65 FIRFilter filter(numberOfBlocks, smoothLength);
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66 filter.process(&noveltyCurve[0], m_hannWindow, &localAverage[0], FIRFilter::middle);
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67
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68 for (int i = 0; i < numberOfBlocks; i++){
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69 noveltyCurve[i] -= localAverage[i];
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70 noveltyCurve[i] = noveltyCurve[i] >= 0 ? noveltyCurve[i] : 0;
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71 }
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72
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73 delete []m_hannWindow;
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74 m_hannWindow = 0;
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75 }
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76
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77 //smoothed differentiator filter. Flips upper half of hanning window about y-axis to create coefficients.
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78 void NoveltyCurveProcessor::smoothedDifferentiator(SpectrogramTransposed &spectrogramTransposed, const size_t &smoothLength) const
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79 {
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80 int numberOfBlocks = spectrogramTransposed[0].size();
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81
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82 float * diffHannWindow = new float [smoothLength];
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83 WindowFunction::hanning(diffHannWindow, smoothLength, true);
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84
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85 if(smoothLength%2) diffHannWindow[(smoothLength+1)/2 - 1] = 0;
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86 for(int i = (smoothLength+1)/2; i < (int)smoothLength; i++){
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87 diffHannWindow[i] = -diffHannWindow[i];
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88 }
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89
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90 FIRFilter smoothFilter(numberOfBlocks, smoothLength);
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91
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92 for (int i = 0; i < (int)m_blockSize; i++){
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93 smoothFilter.process(&spectrogramTransposed[i][0], diffHannWindow, &spectrogramTransposed[i][0], FIRFilter::middle);
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94 }
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95 }
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96
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97 //half rectification (set negative to zero)
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98 void NoveltyCurveProcessor::halfWaveRectify(Spectrogram &spectrogram) const
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99 {
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100 int length = spectrogram.size();
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101 int height = length > 0 ? spectrogram[0].size() : 0;
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102
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103 for (int i = 0; i < length; i++){
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104 for (int j = 0; j < height; j++){
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105 if (spectrogram[i][j] < 0.0) spectrogram[i][j] = 0.0;
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106 }
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107 }
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108 }
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109
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110 //process method
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111 vector<float>
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112 NoveltyCurveProcessor::spectrogramToNoveltyCurve(const Spectrogram &spectrogram) const //make argument const &
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113 {
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114 int numberOfBlocks = spectrogram.size();
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115 std::vector<float> noveltyCurve(numberOfBlocks);
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116 SpectrogramTransposed spectrogramTransposed(m_blockSize, vector<float>(spectrogram.size()));
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117
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118 //normalise and log spectrogram
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119 float normaliseScale = SpectrogramProcessor::calculateMax(spectrogram);
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120 for (int block = 0; block < (int)numberOfBlocks; block++){
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121 for (int k = 0; k < (int)m_blockSize; k++){
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122 float magnitude = spectrogram[block][k];
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123 if(normaliseScale != 0.0) magnitude /= normaliseScale; //normalise
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124 spectrogramTransposed[k][block] = log(1+m_compressionConstant*magnitude);
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125 }
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126 }
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127
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128 //smooted differentiator
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129 smoothedDifferentiator(spectrogramTransposed, 5); //make smoothLength a parameter!
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130 //halfwave rectification
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131 halfWaveRectify(spectrogramTransposed);
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132
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133 //bandwise processing
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134 for (int block = 0; block < (int)numberOfBlocks; block++){
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135 for (int band = 0; band < (int)m_numberOfBands; band++){
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136 int k = m_pBandBoundaries[band];
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137 int bandEnd = m_pBandBoundaries[band+1];
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138 m_pBandSum[band] = 0;
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139
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140 while(k < bandEnd){
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141 m_pBandSum[band] += spectrogramTransposed[k][block];
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142 k++;
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143 }
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144 }
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145 float total = 0;
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146 for(int band = 0; band < (int)m_numberOfBands; band++){
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147 total += m_pBandSum[band];
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148 }
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149 noveltyCurve[block] = total/m_numberOfBands;
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150 }
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151
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152 //subtract local averages
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153 subtractLocalAverage(noveltyCurve, 65); //maybe smaller?
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154
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155 return noveltyCurve;
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156 }
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