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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 Vamp feature extraction plugin using the MATCH audio alignment
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5 algorithm.
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6
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7 Centre for Digital Music, Queen Mary, University of London.
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8 This file copyright 2007 Simon Dixon, Chris Cannam and QMUL.
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9
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10 This program is free software; you can redistribute it and/or
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11 modify it under the terms of the GNU General Public License as
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12 published by the Free Software Foundation; either version 2 of the
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13 License, or (at your option) any later version. See the file
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14 COPYING included with this distribution for more information.
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15 */
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16
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17 #ifndef FEATURE_EXTRACTOR_H
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18 #define FEATURE_EXTRACTOR_H
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19
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20 #include <vector>
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21
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22 /**
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23 * Convert frequency-domain audio frames into features suitable for
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24 * MATCH alignment calculation.
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25 *
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26 * The default feature is a warping of the frequency data to map FFT
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27 * frequency bins into feature bins. The mapping is linear (1-1) until
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28 * the resolution reaches 2 points per semitone, then logarithmic with
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29 * a semitone resolution. e.g. for 44.1kHz sampling rate and fftSize
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30 * of 2048 (46ms), bin spacing is 21.5Hz, which is mapped linearly for
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31 * bins 0-34 (0 to 732Hz), and logarithmically for the remaining bins
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32 * (midi notes 79 to 127, bins 35 to 83), where all energy above note
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33 * 127 is mapped into the final bin.
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34 *
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35 * Alternatively a chroma mapping is also available. This produces a
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36 * 13-bin feature by mapping all FFT bins into bin 0 until the
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37 * resolution reaches 1 point per semitone, then mapping each
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38 * subsequent bin into its corresponding semitone in the remaining 12
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39 * bins (where bin 1 is C). e.g. e.g. for 44.1kHz sampling rate and
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40 * fftSize of 2048 (46ms), frequencies up to 361 Hz go to bin 0,
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41 * subsequent frequencies to the chroma bins.
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42 */
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43 class FeatureExtractor
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44 {
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45 public:
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46 struct Parameters {
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47
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48 Parameters(float rate_, int fftSize_) :
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49 sampleRate(rate_),
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50 useChromaFrequencyMap(false),
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51 fftSize(fftSize_),
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52 referenceFrequency(440.0),
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53 minFrequency(0.),
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54 maxFrequency(rate_/2.)
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55 {}
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56
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57 /** Sample rate of audio */
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58 float sampleRate;
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59
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60 /** Flag indicating whether to use a chroma frequency map (12
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61 * bins) instead of the default warped spectrogram */
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62 bool useChromaFrequencyMap;
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63
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64 /** Size of an FFT frame in samples. Note that the data passed
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65 * in is already in the frequency domain, so this expresses
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66 * the size of the frame that the caller will be providing. */
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67 int fftSize;
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68
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69 /** Frequency of concert A */
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70 double referenceFrequency;
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71
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72 /** Minimum frequency cutoff to include in feature */
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73 double minFrequency;
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74
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75 /** Maximum frequency cutoff to include in feature */
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76 double maxFrequency;
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77 };
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78
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79 /**
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80 * Construct a FeatureExtractor with the given parameters.
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81 *
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82 * Note that FeatureExtractor maintains internal frame-to-frame
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83 * state: use one FeatureExtractor per audio source, and construct
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84 * a new one for each new source.
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85 */
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86 FeatureExtractor(Parameters params);
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87
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88 /**
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89 * Return the feature vector size that will be returned from process().
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90 */
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91 int getFeatureSize() const { return m_featureSize; }
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92
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93 /**
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94 * Return the feature vector size that would be returned from
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95 * process() with these parameters.
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96 */
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97 static int getFeatureSizeFor(Parameters params);
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98
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99 /**
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100 * Process one frequency-domain audio frame (provided as real &
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101 * imaginary components from the FFT output). Return a feature
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102 * vector of size given by getFeatureSize(). Input vectors must
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103 * have at least params.fftSize/2+1 elements each.
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104 *
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105 * Operates by mapping the frequency bins into a part-linear
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106 * part-logarithmic array, unless useChromaFrequencyMap is true in
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107 * which case they are mapped into chroma bins.
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108 */
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109 std::vector<double> process(const std::vector<double> &real,
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110 const std::vector<double> &imag);
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111
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112 /**
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113 * Process one frequency-domain audio frame, provided as a single
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114 * array of alternating real and imaginary components. Input array
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115 * must have at least 2 * (params.fftSize/2 + 1) elements.
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116 *
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117 * Operates by mapping the frequency bins into a part-linear
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118 * part-logarithmic array, unless useChromaFrequencyMap is true in
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119 * which case they are mapped into chroma bins.
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120 */
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121 std::vector<double> process(const float *carray);
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122
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123 protected:
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124 /** Make either standard or chroma map, depending on m_params */
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125 void makeFreqMap();
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126
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127 /** Creates a map of FFT frequency bins to comparison bins. Where
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128 * the spacing of FFT bins is less than 0.5 semitones, the
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129 * mapping is one to one. Where the spacing is greater than 0.5
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130 * semitones, the FFT energy is mapped into semitone-wide
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131 * bins. No scaling is performed; that is the energy is summed
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132 * into the comparison bins. */
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133 void makeStandardFrequencyMap();
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134
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135 /** Creates a map of FFT frequency bins to semitone chroma bins. */
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136 void makeChromaFrequencyMap();
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137
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138 /** Configuration parameters */
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139 Parameters m_params;
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140
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141 /** A mapping function for mapping FFT bins to final frequency
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142 * bins. The mapping is linear (1-1) until the resolution
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143 * reaches 2 points per semitone, then logarithmic with a
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144 * semitone resolution. e.g. for 44.1kHz sampling rate and
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145 * fftSize of 2048 (46ms), bin spacing is 21.5Hz, which is mapped
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146 * linearly for bins 0-34 (0 to 732Hz), and logarithmically for
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147 * the remaining bins (midi notes 79 to 127, bins 35 to 83),
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148 * where all energy above note 127 is mapped into the final
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149 * bin.
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150 *
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151 * If a bin's frequency is outside the minFrequency->maxFrequency
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152 * range, it will be mapped to a target bin of -1 and should be
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153 * discarded.
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154 */
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155 std::vector<int> m_freqMap;
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156
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157 /** The size of a returned feature. */
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158 int m_featureSize;
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159 };
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160
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161 #endif
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162
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