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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
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5
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6 An API for audio analysis and feature extraction plugins.
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7
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8 Centre for Digital Music, Queen Mary, University of London.
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9 Copyright 2006-2008 Chris Cannam and QMUL.
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10
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11 Permission is hereby granted, free of charge, to any person
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12 obtaining a copy of this software and associated documentation
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13 files (the "Software"), to deal in the Software without
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14 restriction, including without limitation the rights to use, copy,
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15 modify, merge, publish, distribute, sublicense, and/or sell copies
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16 of the Software, and to permit persons to whom the Software is
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17 furnished to do so, subject to the following conditions:
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18
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19 The above copyright notice and this permission notice shall be
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20 included in all copies or substantial portions of the Software.
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21
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22 THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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23 EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
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24 MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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25 NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS BE LIABLE FOR
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26 ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF
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27 CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
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28 WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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29
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30 Except as contained in this notice, the names of the Centre for
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31 Digital Music; Queen Mary, University of London; and Chris Cannam
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32 shall not be used in advertising or otherwise to promote the sale,
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33 use or other dealings in this Software without prior written
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34 authorization.
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35 */
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36
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37 #ifndef _VAMP_PLUGIN_SUMMARISING_ADAPTER_H_
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38 #define _VAMP_PLUGIN_SUMMARISING_ADAPTER_H_
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39
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40 #include "PluginWrapper.h"
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41
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42 #include <set>
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43
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44 namespace Vamp {
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45
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46 namespace HostExt {
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47
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48 class PluginSummarisingAdapter : public PluginWrapper
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49 {
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50 public:
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51 PluginSummarisingAdapter(Plugin *plugin); // I take ownership of plugin
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52 virtual ~PluginSummarisingAdapter();
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53
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54 //!!! perhaps it should return the summaries as if they were the
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55 //!!! original features? if so, it will need to be told in
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56 //!!! advance which summaries you want. and that won't work if
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57 //!!! you want more than one. so, probably, no.
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58
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59 //!!! however, it is useful to have results in the same FeatureSet
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60 //!!! structure as the original results -- rather than a single
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61 //!!! FeatureList. perhaps even useful to get a summary for all
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62 //!!! outputs?
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63
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64 FeatureSet process(const float *const *inputBuffers, RealTime timestamp);
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65 FeatureSet getRemainingFeatures();
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66
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67 typedef std::set<RealTime> SegmentBoundaries;
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68 void setSummarySegmentBoundaries(const SegmentBoundaries &);
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69
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70 enum SummaryType {
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71 Minimum = 0,
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72 Maximum = 1,
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73 Mean = 2,
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74 Median = 3,
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75 Mode = 4,
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76 Sum = 5,
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77 Variance = 6,
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78 StandardDeviation = 7,
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79 Count = 8,
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80
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81 UnknownSummaryType = 999
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82 };
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83
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84 /**
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85 * AveragingMethod indicates how the adapter should handle
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86 * average-based summaries of features whose results are not
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87 * equally spaced in time.
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88 *
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89 * If SampleAverage is specified, summary types based on averages
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90 * will be calculated by treating each result individually without
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91 * regard to its time: for example, the mean will be the sum of
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92 * all values divided by the number of values.
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93 *
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94 * If ContinuousTimeAverage is specified, each feature will be
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95 * considered to have a duration, either as specified in the
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96 * feature's duration field, or until the following feature: thus,
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97 * for example, the mean will be the sum of the products of values
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98 * and durations, divided by the total duration.
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99 *
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100 * Although SampleAverage is useful for many types of feature,
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101 * ContinuousTimeAverage is essential for some situations, for
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102 * example finding the result that spans the largest proportion of
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103 * the input given a feature that emits a new result only when the
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104 * value changes (the modal value integrated over time).
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105 */
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106 enum AveragingMethod {
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107 SampleAverage = 0,
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108 ContinuousTimeAverage = 1,
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109 };
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110
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111 FeatureList getSummaryForOutput(int output,
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112 SummaryType type,
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113 AveragingMethod method = SampleAverage);
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114
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115 FeatureSet getSummaryForAllOutputs(SummaryType type,
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116 AveragingMethod method = SampleAverage);
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117
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118 protected:
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119 class Impl;
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120 Impl *m_impl;
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121 };
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122
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123 }
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124
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125 }
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126
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127 #endif
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