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annotate core/magnatagatune/xml_parse_mtt.m @ 0:e9a9cd732c1e tip

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first hg version after svn
author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
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wolffd@0 1 function features = xml_parse_mtt(file)
wolffd@0 2 % features = xml_parse_mtt(file)
wolffd@0 3 %
wolffd@0 4 % parses the magnatagatune xml file to retrieve the audio
wolffd@0 5 % analysis results. The file isexpected to use the deprecated
wolffd@0 6 % EchoNest XML format
wolffd@0 7 %
wolffd@0 8 % time always travels an the horizontal axis
wolffd@0 9
wolffd@0 10 % ---
wolffd@0 11 % TODO: Add Error checking to certan tags as chroma number,
wolffd@0 12 % loudness max etc.
wolffd@0 13 % ---
wolffd@0 14
wolffd@0 15 fdata = fileread(file);
wolffd@0 16 try
wolffd@0 17 % ---
wolffd@0 18 % TODO: check for other than the p-code exceptions
wolffd@0 19 % ---
wolffd@0 20
wolffd@0 21 data = xml_parseany(fdata);
wolffd@0 22 catch exception
wolffd@0 23 end
wolffd@0 24 %% ------------------------------------------------------------------------
wolffd@0 25 % ---
wolffd@0 26 % copy general track data
wolffd@0 27 % ---
wolffd@0 28
wolffd@0 29 fields = fieldnames(data.track{1}.ATTRIBUTE);
wolffd@0 30 for i = 1:length(fields)
wolffd@0 31 features.(fields{i}) = str2double(data.track{1}.ATTRIBUTE.(fields{i}));
wolffd@0 32 end
wolffd@0 33
wolffd@0 34 %% ------------------------------------------------------------------------
wolffd@0 35 % ---
wolffd@0 36 % get harmonic analysis. this is stored in segments
wolffd@0 37 % ---
wolffd@0 38 dsegments = data.track{1}.segments{1}.segment;
wolffd@0 39
wolffd@0 40 for i = 1:numel(dsegments)
wolffd@0 41
wolffd@0 42 % get start and duration
wolffd@0 43 segments(i).start = str2double(dsegments{i}.ATTRIBUTE.start);
wolffd@0 44 segments(i).duration = str2double(dsegments{i}.ATTRIBUTE.duration);
wolffd@0 45
wolffd@0 46 % ---
wolffd@0 47 % NOTE: for the chroma and mfcc features, we assume that the classes
wolffd@0 48 % are always saved and parsed in correct order, thus we can afford to
wolffd@0 49 % refrain from saving the class number with the class
wolffd@0 50 % ---
wolffd@0 51
wolffd@0 52 % assemble chroma features
wolffd@0 53 segments(i).pitches = zeros(12,1);
wolffd@0 54 for j = 1:12
wolffd@0 55
wolffd@0 56 segments(i).pitches(j) = str2double(...
wolffd@0 57 dsegments{i}.pitches{1}.pitch{j}.CONTENT);
wolffd@0 58 end
wolffd@0 59
wolffd@0 60 % assemble mfcc features;
wolffd@0 61 segments(i).timbre = zeros(numel(dsegments{i}.timbre{1}.coeff),1);
wolffd@0 62 for j = 1:numel(dsegments{i}.timbre{1}.coeff)
wolffd@0 63
wolffd@0 64 segments(i).timbre(j) = str2double(...
wolffd@0 65 dsegments{i}.timbre{1}.coeff{j}.CONTENT);
wolffd@0 66 end
wolffd@0 67
wolffd@0 68 % get loudness measurements in dB and time
wolffd@0 69 segments(i).loudness = str2double(...
wolffd@0 70 dsegments{i}.loudness{1}.dB{1}.CONTENT);
wolffd@0 71
wolffd@0 72 segments(i).loudness_time = str2double(...
wolffd@0 73 dsegments{i}.loudness{1}.dB{1}.ATTRIBUTE.time);
wolffd@0 74
wolffd@0 75 segments(i).loudness_max = str2double(...
wolffd@0 76 dsegments{i}.loudness{1}.dB{2}.CONTENT);
wolffd@0 77
wolffd@0 78 segments(i).loudness_max_time = str2double(...
wolffd@0 79 dsegments{i}.loudness{1}.dB{2}.ATTRIBUTE.time);
wolffd@0 80 end
wolffd@0 81
wolffd@0 82 features.segments = segments;
wolffd@0 83
wolffd@0 84 %% ------------------------------------------------------------------------
wolffd@0 85 % ---
wolffd@0 86 % get sections
wolffd@0 87 % ---
wolffd@0 88 dsections = data.track{1}.sections{1}.section;
wolffd@0 89
wolffd@0 90 secstart = zeros(1,numel(dsections));
wolffd@0 91 secduration = zeros(1,numel(dsections));
wolffd@0 92 for i = 1:numel(dsections)
wolffd@0 93 sections(i).start = str2double(dsections{i}.ATTRIBUTE.start);
wolffd@0 94 sections(i).duration = str2double(dsections{i}.ATTRIBUTE.duration);
wolffd@0 95 end
wolffd@0 96
wolffd@0 97 features.sections = sections;
wolffd@0 98
wolffd@0 99 %% ------------------------------------------------------------------------
wolffd@0 100 % ---
wolffd@0 101 % get beat and rythm data. the metric data is structured
wolffd@0 102 % hierarchically, as each bar contains several beats,
wolffd@0 103 % which contaisn several tatums.
wolffd@0 104 % NOTE: Although the metrum and tempo have been evaluated and fixed
wolffd@0 105 % on a global scale, the number of bars and tatum vary greatly.
wolffd@0 106 % ---
wolffd@0 107 dbars = data.track{1}.meter{1}.bar;
wolffd@0 108
wolffd@0 109 for i = 1:numel(dbars)
wolffd@0 110
wolffd@0 111 % get bar information
wolffd@0 112 bars(i).confidence = str2double(dbars{i}.ATTRIBUTE.conf);
wolffd@0 113 for j = 1:numel(dbars{i}.beat)
wolffd@0 114
wolffd@0 115 % get beat information
wolffd@0 116 bars(i).beat(j).confidence = str2double(dbars{i}.beat{j}.ATTRIBUTE.conf);
wolffd@0 117
wolffd@0 118 for k = 1:numel(dbars{i}.beat{j}.tatum)
wolffd@0 119
wolffd@0 120 % get tatum information
wolffd@0 121 if ~isempty(dbars{i}.beat{j}.tatum{k}.ATTRIBUTE)
wolffd@0 122 bars(i).beat(j).tatum(k).time = str2double(dbars{i}.beat{j}.tatum{k}.CONTENT);
wolffd@0 123 bars(i).beat(j).tatum(k).confidence = str2double(dbars{i}.beat{j}.tatum{k}.ATTRIBUTE.conf);
wolffd@0 124
wolffd@0 125 else
wolffd@0 126 % save empty struct
wolffd@0 127 bars(i).beat(j).tatum = struct([]);
wolffd@0 128 end
wolffd@0 129
wolffd@0 130 end
wolffd@0 131 end
wolffd@0 132 end
wolffd@0 133
wolffd@0 134 features.bars = bars;
wolffd@0 135