Auto reformatted the base, ref #470
This commit is contained in:
emeric
@@ -24,370 +24,367 @@
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#include "core/Exception.hpp"
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namespace lms::recommendation {
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static const std::unordered_map<FeatureName, FeatureDef> featureDefinitions
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namespace lms::recommendation
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{
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{ "lowlevel.average_loudness", {1}},
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{ "lowlevel.barkbands.dmean", {27}},
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{ "lowlevel.barkbands.dmean2", {27}},
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{ "lowlevel.barkbands.dvar", {27}},
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{ "lowlevel.barkbands.dvar2", {27}},
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{ "lowlevel.barkbands.max", {27}},
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{ "lowlevel.barkbands.mean", {27}},
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{ "lowlevel.barkbands.median", {27}},
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{ "lowlevel.barkbands.min", {27}},
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{ "lowlevel.barkbands.var", {27}},
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{ "lowlevel.barkbands_crest.dmean", {1}},
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{ "lowlevel.barkbands_crest.dmean2", {1}},
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{ "lowlevel.barkbands_crest.dvar", {1}},
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{ "lowlevel.barkbands_crest.dvar2", {1}},
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{ "lowlevel.barkbands_crest.max", {1}},
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{ "lowlevel.barkbands_crest.mean", {1}},
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{ "lowlevel.barkbands_crest.median", {1}},
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{ "lowlevel.barkbands_crest.min", {1}},
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{ "lowlevel.barkbands_crest.var", {1}},
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{ "lowlevel.barkbands_flatness_db.dmean", {1}},
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{ "lowlevel.barkbands_flatness_db.dmean2", {1}},
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{ "lowlevel.barkbands_flatness_db.dvar", {1}},
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{ "lowlevel.barkbands_flatness_db.dvar2", {1}},
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{ "lowlevel.barkbands_flatness_db.max", {1}},
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{ "lowlevel.barkbands_flatness_db.mean", {1}},
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{ "lowlevel.barkbands_flatness_db.median", {1}},
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{ "lowlevel.barkbands_flatness_db.min", {1}},
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{ "lowlevel.barkbands_flatness_db.var", {1}},
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{ "lowlevel.barkbands_kurtosis.dmean", {1}},
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{ "lowlevel.barkbands_kurtosis.dmean2", {1}},
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{ "lowlevel.barkbands_kurtosis.dvar", {1}},
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{ "lowlevel.barkbands_kurtosis.dvar2", {1}},
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{ "lowlevel.barkbands_kurtosis.max", {1}},
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{ "lowlevel.barkbands_kurtosis.mean", {1}},
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{ "lowlevel.barkbands_kurtosis.median", {1}},
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{ "lowlevel.barkbands_kurtosis.min", {1}},
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{ "lowlevel.barkbands_kurtosis.var", {1}},
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{ "lowlevel.barkbands_skewness.dmean", {1}},
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{ "lowlevel.barkbands_skewness.dmean2", {1}},
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{ "lowlevel.barkbands_skewness.dvar", {1}},
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{ "lowlevel.barkbands_skewness.dvar2", {1}},
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{ "lowlevel.barkbands_skewness.max", {1}},
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{ "lowlevel.barkbands_skewness.mean", {1}},
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{ "lowlevel.barkbands_skewness.median", {1}},
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{ "lowlevel.barkbands_skewness.min", {1}},
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{ "lowlevel.barkbands_skewness.var", {1}},
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{ "lowlevel.barkbands_spread.dmean", {1}},
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{ "lowlevel.barkbands_spread.dmean2", {1}},
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{ "lowlevel.barkbands_spread.dvar", {1}},
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{ "lowlevel.barkbands_spread.dvar2", {1}},
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{ "lowlevel.barkbands_spread.max", {1}},
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{ "lowlevel.barkbands_spread.mean", {1}},
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{ "lowlevel.barkbands_spread.median", {1}},
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{ "lowlevel.barkbands_spread.min", {1}},
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{ "lowlevel.barkbands_spread.var", {1}},
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{ "lowlevel.dissonance.dmean", {1}},
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{ "lowlevel.dissonance.dmean2", {1}},
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{ "lowlevel.dissonance.dvar", {1}},
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{ "lowlevel.dissonance.dvar2", {1}},
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{ "lowlevel.dissonance.max", {1}},
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{ "lowlevel.dissonance.mean", {1}},
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{ "lowlevel.dissonance.median", {1}},
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{ "lowlevel.dissonance.min", {1}},
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{ "lowlevel.dissonance.var", {1}},
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{ "lowlevel.dynamic_complexity", {1}},
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{ "lowlevel.erbbands.dmean", {40}},
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{ "lowlevel.erbbands.dmean2", {40}},
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{ "lowlevel.erbbands.dvar", {40}},
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{ "lowlevel.erbbands.dvar2", {40}},
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{ "lowlevel.erbbands.max", {40}},
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{ "lowlevel.erbbands.mean", {40}},
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{ "lowlevel.erbbands.median", {40}},
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{ "lowlevel.erbbands.min", {40}},
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{ "lowlevel.erbbands.var", {40}},
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{ "lowlevel.gfcc.mean", {13}},
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{ "lowlevel.hfc.dmean", {1}},
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{ "lowlevel.hfc.dmean2", {1}},
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{ "lowlevel.hfc.dvar", {1}},
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{ "lowlevel.hfc.dvar2", {1}},
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{ "lowlevel.hfc.max", {1}},
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{ "lowlevel.hfc.mean", {1}},
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{ "lowlevel.hfc.median", {1}},
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{ "lowlevel.hfc.min", {1}},
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{ "lowlevel.hfc.var", {1}},
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{ "tonal.hpcp.median", {36}},
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{ "lowlevel.melbands.dmean", {40}},
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{ "lowlevel.melbands.dmean2", {40}},
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{ "lowlevel.melbands.dvar", {40}},
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{ "lowlevel.melbands.dvar2", {40}},
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{ "lowlevel.melbands.max", {40}},
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{ "lowlevel.melbands.mean", {40}},
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{ "lowlevel.melbands.median", {40}},
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{ "lowlevel.melbands.min", {40}},
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{ "lowlevel.melbands.var", {40}},
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{ "lowlevel.melbands_crest.dmean", {1}},
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{ "lowlevel.melbands_crest.dmean2", {1}},
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{ "lowlevel.melbands_crest.dvar", {1}},
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{ "lowlevel.melbands_crest.dvar2", {1}},
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{ "lowlevel.melbands_crest.max", {1}},
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{ "lowlevel.melbands_crest.mean", {1}},
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{ "lowlevel.melbands_crest.median", {1}},
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{ "lowlevel.melbands_crest.min", {1}},
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{ "lowlevel.melbands_crest.var", {1}},
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{ "lowlevel.melbands_flatness_db.dmean", {1}},
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{ "lowlevel.melbands_flatness_db.dmean2", {1}},
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{ "lowlevel.melbands_flatness_db.dvar", {1}},
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{ "lowlevel.melbands_flatness_db.dvar2", {1}},
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{ "lowlevel.melbands_flatness_db.max", {1}},
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{ "lowlevel.melbands_flatness_db.mean", {1}},
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{ "lowlevel.melbands_flatness_db.median", {1}},
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{ "lowlevel.melbands_flatness_db.min", {1}},
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{ "lowlevel.melbands_flatness_db.var", {1}},
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{ "lowlevel.melbands_kurtosis.dmean", {1}},
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{ "lowlevel.melbands_kurtosis.dmean2", {1}},
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{ "lowlevel.melbands_kurtosis.dvar", {1}},
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{ "lowlevel.melbands_kurtosis.dvar2", {1}},
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{ "lowlevel.melbands_kurtosis.max", {1}},
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{ "lowlevel.melbands_kurtosis.mean", {1}},
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{ "lowlevel.melbands_kurtosis.median", {1}},
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{ "lowlevel.melbands_kurtosis.min", {1}},
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{ "lowlevel.melbands_kurtosis.var", {1}},
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{ "lowlevel.melbands_skewness.dmean", {1}},
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{ "lowlevel.melbands_skewness.dmean2", {1}},
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{ "lowlevel.melbands_skewness.dvar", {1}},
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{ "lowlevel.melbands_skewness.dvar2", {1}},
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{ "lowlevel.melbands_skewness.max", {1}},
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{ "lowlevel.melbands_skewness.mean", {1}},
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{ "lowlevel.melbands_skewness.median", {1}},
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{ "lowlevel.melbands_skewness.min", {1}},
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{ "lowlevel.melbands_skewness.var", {1}},
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{ "lowlevel.melbands_spread.dmean", {1}},
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{ "lowlevel.melbands_spread.dmean2", {1}},
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{ "lowlevel.melbands_spread.dvar", {1}},
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{ "lowlevel.melbands_spread.dvar2", {1}},
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{ "lowlevel.melbands_spread.max", {1}},
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{ "lowlevel.melbands_spread.mean", {1}},
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{ "lowlevel.melbands_spread.median", {1}},
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{ "lowlevel.melbands_spread.min", {1}},
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{ "lowlevel.melbands_spread.var", {1}},
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{ "lowlevel.mfcc.mean", {13}},
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{ "lowlevel.pitch_salience.dmean", {1}},
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{ "lowlevel.pitch_salience.dmean2", {1}},
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{ "lowlevel.pitch_salience.dvar", {1}},
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{ "lowlevel.pitch_salience.dvar2", {1}},
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{ "lowlevel.pitch_salience.max", {1}},
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{ "lowlevel.pitch_salience.mean", {1}},
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{ "lowlevel.pitch_salience.median", {1}},
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{ "lowlevel.pitch_salience.min", {1}},
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{ "lowlevel.pitch_salience.var", {1}},
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{ "lowlevel.silence_rate_30dB.dmean", {1}},
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{ "lowlevel.silence_rate_30dB.dmean2", {1}},
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{ "lowlevel.silence_rate_30dB.dvar", {1}},
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{ "lowlevel.silence_rate_30dB.dvar2", {1}},
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{ "lowlevel.silence_rate_30dB.max", {1}},
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{ "lowlevel.silence_rate_30dB.mean", {1}},
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{ "lowlevel.silence_rate_30dB.median", {1}},
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{ "lowlevel.silence_rate_30dB.min", {1}},
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{ "lowlevel.silence_rate_30dB.var", {1}},
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{ "lowlevel.silence_rate_60dB.dmean", {1}},
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{ "lowlevel.silence_rate_60dB.dmean2", {1}},
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{ "lowlevel.silence_rate_60dB.dvar", {1}},
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{ "lowlevel.silence_rate_60dB.dvar2", {1}},
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{ "lowlevel.silence_rate_60dB.max", {1}},
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{ "lowlevel.silence_rate_60dB.mean", {1}},
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{ "lowlevel.silence_rate_60dB.median", {1}},
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{ "lowlevel.silence_rate_60dB.min", {1}},
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{ "lowlevel.silence_rate_60dB.var", {1}},
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{ "lowlevel.spectral_centroid.dmean", {1}},
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{ "lowlevel.spectral_centroid.dmean2", {1}},
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{ "lowlevel.spectral_centroid.dvar", {1}},
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{ "lowlevel.spectral_centroid.dvar2", {1}},
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{ "lowlevel.spectral_centroid.max", {1}},
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{ "lowlevel.spectral_centroid.mean", {1}},
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{ "lowlevel.spectral_centroid.median", {1}},
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{ "lowlevel.spectral_centroid.min", {1}},
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{ "lowlevel.spectral_centroid.var", {1}},
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{ "lowlevel.spectral_complexity.dmean", {1}},
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{ "lowlevel.spectral_complexity.dmean2", {1}},
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{ "lowlevel.spectral_complexity.dvar", {1}},
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{ "lowlevel.spectral_complexity.dvar2", {1}},
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{ "lowlevel.spectral_complexity.max", {1}},
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{ "lowlevel.spectral_complexity.mean", {1}},
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{ "lowlevel.spectral_complexity.median", {1}},
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{ "lowlevel.spectral_complexity.min", {1}},
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{ "lowlevel.spectral_complexity.var", {1}},
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{ "lowlevel.spectral_contrast_coeffs.dmean", {6}},
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{ "lowlevel.spectral_contrast_coeffs.dmean2", {6}},
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{ "lowlevel.spectral_contrast_coeffs.dvar", {6}},
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{ "lowlevel.spectral_contrast_coeffs.dvar2", {6}},
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{ "lowlevel.spectral_contrast_coeffs.max", {6}},
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{ "lowlevel.spectral_contrast_coeffs.mean", {6}},
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{ "lowlevel.spectral_contrast_coeffs.median", {6}},
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{ "lowlevel.spectral_contrast_coeffs.min", {6}},
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{ "lowlevel.spectral_contrast_coeffs.var", {6}},
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{ "lowlevel.spectral_contrast_valleys.dmean", {6}},
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{ "lowlevel.spectral_contrast_valleys.dmean2", {6}},
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{ "lowlevel.spectral_contrast_valleys.dvar", {6}},
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{ "lowlevel.spectral_contrast_valleys.dvar2", {6}},
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{ "lowlevel.spectral_contrast_valleys.max", {6}},
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{ "lowlevel.spectral_contrast_valleys.mean", {6}},
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{ "lowlevel.spectral_contrast_valleys.median", {6}},
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{ "lowlevel.spectral_contrast_valleys.min", {6}},
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{ "lowlevel.spectral_contrast_valleys.var", {6}},
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{ "lowlevel.spectral_decrease.dmean", {1}},
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{ "lowlevel.spectral_decrease.dmean2", {1}},
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{ "lowlevel.spectral_decrease.dvar", {1}},
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{ "lowlevel.spectral_decrease.dvar2", {1}},
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{ "lowlevel.spectral_decrease.max", {1}},
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{ "lowlevel.spectral_decrease.mean", {1}},
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{ "lowlevel.spectral_decrease.median", {1}},
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{ "lowlevel.spectral_decrease.min", {1}},
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{ "lowlevel.spectral_decrease.var", {1}},
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{ "lowlevel.spectral_energy.dmean", {1}},
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{ "lowlevel.spectral_energy.dmean2", {1}},
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{ "lowlevel.spectral_energy.dvar", {1}},
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{ "lowlevel.spectral_energy.dvar2", {1}},
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{ "lowlevel.spectral_energy.max", {1}},
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{ "lowlevel.spectral_energy.mean", {1}},
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{ "lowlevel.spectral_energy.median", {1}},
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{ "lowlevel.spectral_energy.min", {1}},
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{ "lowlevel.spectral_energy.var", {1}},
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{ "lowlevel.spectral_energyband_high.dmean", {1}},
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{ "lowlevel.spectral_energyband_high.dmean2", {1}},
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{ "lowlevel.spectral_energyband_high.dvar", {1}},
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{ "lowlevel.spectral_energyband_high.dvar2", {1}},
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{ "lowlevel.spectral_energyband_high.max", {1}},
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{ "lowlevel.spectral_energyband_high.mean", {1}},
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{ "lowlevel.spectral_energyband_high.median", {1}},
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{ "lowlevel.spectral_energyband_high.min", {1}},
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{ "lowlevel.spectral_energyband_high.var", {1}},
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{ "lowlevel.spectral_energyband_low.dmean", {1}},
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{ "lowlevel.spectral_energyband_low.dmean2", {1}},
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{ "lowlevel.spectral_energyband_low.dvar", {1}},
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{ "lowlevel.spectral_energyband_low.dvar2", {1}},
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{ "lowlevel.spectral_energyband_low.max", {1}},
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{ "lowlevel.spectral_energyband_low.mean", {1}},
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{ "lowlevel.spectral_energyband_low.median", {1}},
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{ "lowlevel.spectral_energyband_low.min", {1}},
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{ "lowlevel.spectral_energyband_low.var", {1}},
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{ "lowlevel.spectral_energyband_middle_high.dmean", {1}},
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{ "lowlevel.spectral_energyband_middle_high.dmean2", {1}},
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{ "lowlevel.spectral_energyband_middle_high.dvar", {1}},
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||||
{ "lowlevel.spectral_energyband_middle_high.dvar2", {1}},
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||||
{ "lowlevel.spectral_energyband_middle_high.max", {1}},
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||||
{ "lowlevel.spectral_energyband_middle_high.mean", {1}},
|
||||
{ "lowlevel.spectral_energyband_middle_high.median", {1}},
|
||||
{ "lowlevel.spectral_energyband_middle_high.min", {1}},
|
||||
{ "lowlevel.spectral_energyband_middle_high.var", {1}},
|
||||
{ "lowlevel.spectral_energyband_middle_low.dmean", {1}},
|
||||
{ "lowlevel.spectral_energyband_middle_low.dmean2", {1}},
|
||||
{ "lowlevel.spectral_energyband_middle_low.dvar", {1}},
|
||||
{ "lowlevel.spectral_energyband_middle_low.dvar2", {1}},
|
||||
{ "lowlevel.spectral_energyband_middle_low.max", {1}},
|
||||
{ "lowlevel.spectral_energyband_middle_low.mean", {1}},
|
||||
{ "lowlevel.spectral_energyband_middle_low.median", {1}},
|
||||
{ "lowlevel.spectral_energyband_middle_low.min", {1}},
|
||||
{ "lowlevel.spectral_energyband_middle_low.var", {1}},
|
||||
{ "lowlevel.spectral_entropy.dmean", {1}},
|
||||
{ "lowlevel.spectral_entropy.dmean2", {1}},
|
||||
{ "lowlevel.spectral_entropy.dvar", {1}},
|
||||
{ "lowlevel.spectral_entropy.dvar2", {1}},
|
||||
{ "lowlevel.spectral_entropy.max", {1}},
|
||||
{ "lowlevel.spectral_entropy.mean", {1}},
|
||||
{ "lowlevel.spectral_entropy.median", {1}},
|
||||
{ "lowlevel.spectral_entropy.min", {1}},
|
||||
{ "lowlevel.spectral_entropy.var", {1}},
|
||||
{ "lowlevel.spectral_flux.dmean", {1}},
|
||||
{ "lowlevel.spectral_flux.dmean2", {1}},
|
||||
{ "lowlevel.spectral_flux.dvar", {1}},
|
||||
{ "lowlevel.spectral_flux.dvar2", {1}},
|
||||
{ "lowlevel.spectral_flux.max", {1}},
|
||||
{ "lowlevel.spectral_flux.mean", {1}},
|
||||
{ "lowlevel.spectral_flux.median", {1}},
|
||||
{ "lowlevel.spectral_flux.min", {1}},
|
||||
{ "lowlevel.spectral_flux.var", {1}},
|
||||
{ "lowlevel.spectral_kurtosis.dmean", {1}},
|
||||
{ "lowlevel.spectral_kurtosis.dmean2", {1}},
|
||||
{ "lowlevel.spectral_kurtosis.dvar", {1}},
|
||||
{ "lowlevel.spectral_kurtosis.dvar2", {1}},
|
||||
{ "lowlevel.spectral_kurtosis.max", {1}},
|
||||
{ "lowlevel.spectral_kurtosis.mean", {1}},
|
||||
{ "lowlevel.spectral_kurtosis.median", {1}},
|
||||
{ "lowlevel.spectral_kurtosis.min", {1}},
|
||||
{ "lowlevel.spectral_kurtosis.var", {1}},
|
||||
{ "lowlevel.spectral_rms.dmean", {1}},
|
||||
{ "lowlevel.spectral_rms.dmean2", {1}},
|
||||
{ "lowlevel.spectral_rms.dvar", {1}},
|
||||
{ "lowlevel.spectral_rms.dvar2", {1}},
|
||||
{ "lowlevel.spectral_rms.max", {1}},
|
||||
{ "lowlevel.spectral_rms.mean", {1}},
|
||||
{ "lowlevel.spectral_rms.median", {1}},
|
||||
{ "lowlevel.spectral_rms.min", {1}},
|
||||
{ "lowlevel.spectral_rms.var", {1}},
|
||||
{ "lowlevel.spectral_rolloff.dmean", {1}},
|
||||
{ "lowlevel.spectral_rolloff.dmean2", {1}},
|
||||
{ "lowlevel.spectral_rolloff.dvar", {1}},
|
||||
{ "lowlevel.spectral_rolloff.dvar2", {1}},
|
||||
{ "lowlevel.spectral_rolloff.max", {1}},
|
||||
{ "lowlevel.spectral_rolloff.mean", {1}},
|
||||
{ "lowlevel.spectral_rolloff.median", {1}},
|
||||
{ "lowlevel.spectral_rolloff.min", {1}},
|
||||
{ "lowlevel.spectral_rolloff.var", {1}},
|
||||
{ "lowlevel.spectral_skewness.dmean", {1}},
|
||||
{ "lowlevel.spectral_skewness.dmean2", {1}},
|
||||
{ "lowlevel.spectral_skewness.dvar", {1}},
|
||||
{ "lowlevel.spectral_skewness.dvar2", {1}},
|
||||
{ "lowlevel.spectral_skewness.max", {1}},
|
||||
{ "lowlevel.spectral_skewness.mean", {1}},
|
||||
{ "lowlevel.spectral_skewness.median", {1}},
|
||||
{ "lowlevel.spectral_skewness.min", {1}},
|
||||
{ "lowlevel.spectral_skewness.var", {1}},
|
||||
{ "lowlevel.spectral_spread.dmean", {1}},
|
||||
{ "lowlevel.spectral_spread.dmean2", {1}},
|
||||
{ "lowlevel.spectral_spread.dvar", {1}},
|
||||
{ "lowlevel.spectral_spread.dvar2", {1}},
|
||||
{ "lowlevel.spectral_spread.max", {1}},
|
||||
{ "lowlevel.spectral_spread.mean", {1}},
|
||||
{ "lowlevel.spectral_spread.median", {1}},
|
||||
{ "lowlevel.spectral_spread.min", {1}},
|
||||
{ "lowlevel.spectral_spread.var", {1}},
|
||||
{ "lowlevel.spectral_strongpeak.dmean", {1}},
|
||||
{ "lowlevel.spectral_strongpeak.dmean2", {1}},
|
||||
{ "lowlevel.spectral_strongpeak.dvar", {1}},
|
||||
{ "lowlevel.spectral_strongpeak.dvar2", {1}},
|
||||
{ "lowlevel.spectral_strongpeak.max", {1}},
|
||||
{ "lowlevel.spectral_strongpeak.mean", {1}},
|
||||
{ "lowlevel.spectral_strongpeak.median", {1}},
|
||||
{ "lowlevel.spectral_strongpeak.min", {1}},
|
||||
{ "lowlevel.spectral_strongpeak.var", {1}},
|
||||
{ "lowlevel.zerocrossingrate.dmean", {1}},
|
||||
{ "lowlevel.zerocrossingrate.dmean2", {1}},
|
||||
{ "lowlevel.zerocrossingrate.dvar", {1}},
|
||||
{ "lowlevel.zerocrossingrate.dvar2", {1}},
|
||||
{ "lowlevel.zerocrossingrate.max", {1}},
|
||||
{ "lowlevel.zerocrossingrate.mean", {1}},
|
||||
{ "lowlevel.zerocrossingrate.median", {1}},
|
||||
{ "lowlevel.zerocrossingrate.min", {1}},
|
||||
{ "lowlevel.zerocrossingrate.var", {1}},
|
||||
};
|
||||
|
||||
FeatureDef
|
||||
getFeatureDef(const FeatureName& featureName)
|
||||
{
|
||||
auto it {featureDefinitions.find(featureName)};
|
||||
if (it == std::cend(featureDefinitions))
|
||||
throw core::LmsException {"Unhandled requested feature '" + featureName + "'"};
|
||||
static const std::unordered_map<FeatureName, FeatureDef> featureDefinitions{
|
||||
{ "lowlevel.average_loudness", { 1 } },
|
||||
{ "lowlevel.barkbands.dmean", { 27 } },
|
||||
{ "lowlevel.barkbands.dmean2", { 27 } },
|
||||
{ "lowlevel.barkbands.dvar", { 27 } },
|
||||
{ "lowlevel.barkbands.dvar2", { 27 } },
|
||||
{ "lowlevel.barkbands.max", { 27 } },
|
||||
{ "lowlevel.barkbands.mean", { 27 } },
|
||||
{ "lowlevel.barkbands.median", { 27 } },
|
||||
{ "lowlevel.barkbands.min", { 27 } },
|
||||
{ "lowlevel.barkbands.var", { 27 } },
|
||||
{ "lowlevel.barkbands_crest.dmean", { 1 } },
|
||||
{ "lowlevel.barkbands_crest.dmean2", { 1 } },
|
||||
{ "lowlevel.barkbands_crest.dvar", { 1 } },
|
||||
{ "lowlevel.barkbands_crest.dvar2", { 1 } },
|
||||
{ "lowlevel.barkbands_crest.max", { 1 } },
|
||||
{ "lowlevel.barkbands_crest.mean", { 1 } },
|
||||
{ "lowlevel.barkbands_crest.median", { 1 } },
|
||||
{ "lowlevel.barkbands_crest.min", { 1 } },
|
||||
{ "lowlevel.barkbands_crest.var", { 1 } },
|
||||
{ "lowlevel.barkbands_flatness_db.dmean", { 1 } },
|
||||
{ "lowlevel.barkbands_flatness_db.dmean2", { 1 } },
|
||||
{ "lowlevel.barkbands_flatness_db.dvar", { 1 } },
|
||||
{ "lowlevel.barkbands_flatness_db.dvar2", { 1 } },
|
||||
{ "lowlevel.barkbands_flatness_db.max", { 1 } },
|
||||
{ "lowlevel.barkbands_flatness_db.mean", { 1 } },
|
||||
{ "lowlevel.barkbands_flatness_db.median", { 1 } },
|
||||
{ "lowlevel.barkbands_flatness_db.min", { 1 } },
|
||||
{ "lowlevel.barkbands_flatness_db.var", { 1 } },
|
||||
{ "lowlevel.barkbands_kurtosis.dmean", { 1 } },
|
||||
{ "lowlevel.barkbands_kurtosis.dmean2", { 1 } },
|
||||
{ "lowlevel.barkbands_kurtosis.dvar", { 1 } },
|
||||
{ "lowlevel.barkbands_kurtosis.dvar2", { 1 } },
|
||||
{ "lowlevel.barkbands_kurtosis.max", { 1 } },
|
||||
{ "lowlevel.barkbands_kurtosis.mean", { 1 } },
|
||||
{ "lowlevel.barkbands_kurtosis.median", { 1 } },
|
||||
{ "lowlevel.barkbands_kurtosis.min", { 1 } },
|
||||
{ "lowlevel.barkbands_kurtosis.var", { 1 } },
|
||||
{ "lowlevel.barkbands_skewness.dmean", { 1 } },
|
||||
{ "lowlevel.barkbands_skewness.dmean2", { 1 } },
|
||||
{ "lowlevel.barkbands_skewness.dvar", { 1 } },
|
||||
{ "lowlevel.barkbands_skewness.dvar2", { 1 } },
|
||||
{ "lowlevel.barkbands_skewness.max", { 1 } },
|
||||
{ "lowlevel.barkbands_skewness.mean", { 1 } },
|
||||
{ "lowlevel.barkbands_skewness.median", { 1 } },
|
||||
{ "lowlevel.barkbands_skewness.min", { 1 } },
|
||||
{ "lowlevel.barkbands_skewness.var", { 1 } },
|
||||
{ "lowlevel.barkbands_spread.dmean", { 1 } },
|
||||
{ "lowlevel.barkbands_spread.dmean2", { 1 } },
|
||||
{ "lowlevel.barkbands_spread.dvar", { 1 } },
|
||||
{ "lowlevel.barkbands_spread.dvar2", { 1 } },
|
||||
{ "lowlevel.barkbands_spread.max", { 1 } },
|
||||
{ "lowlevel.barkbands_spread.mean", { 1 } },
|
||||
{ "lowlevel.barkbands_spread.median", { 1 } },
|
||||
{ "lowlevel.barkbands_spread.min", { 1 } },
|
||||
{ "lowlevel.barkbands_spread.var", { 1 } },
|
||||
{ "lowlevel.dissonance.dmean", { 1 } },
|
||||
{ "lowlevel.dissonance.dmean2", { 1 } },
|
||||
{ "lowlevel.dissonance.dvar", { 1 } },
|
||||
{ "lowlevel.dissonance.dvar2", { 1 } },
|
||||
{ "lowlevel.dissonance.max", { 1 } },
|
||||
{ "lowlevel.dissonance.mean", { 1 } },
|
||||
{ "lowlevel.dissonance.median", { 1 } },
|
||||
{ "lowlevel.dissonance.min", { 1 } },
|
||||
{ "lowlevel.dissonance.var", { 1 } },
|
||||
{ "lowlevel.dynamic_complexity", { 1 } },
|
||||
{ "lowlevel.erbbands.dmean", { 40 } },
|
||||
{ "lowlevel.erbbands.dmean2", { 40 } },
|
||||
{ "lowlevel.erbbands.dvar", { 40 } },
|
||||
{ "lowlevel.erbbands.dvar2", { 40 } },
|
||||
{ "lowlevel.erbbands.max", { 40 } },
|
||||
{ "lowlevel.erbbands.mean", { 40 } },
|
||||
{ "lowlevel.erbbands.median", { 40 } },
|
||||
{ "lowlevel.erbbands.min", { 40 } },
|
||||
{ "lowlevel.erbbands.var", { 40 } },
|
||||
{ "lowlevel.gfcc.mean", { 13 } },
|
||||
{ "lowlevel.hfc.dmean", { 1 } },
|
||||
{ "lowlevel.hfc.dmean2", { 1 } },
|
||||
{ "lowlevel.hfc.dvar", { 1 } },
|
||||
{ "lowlevel.hfc.dvar2", { 1 } },
|
||||
{ "lowlevel.hfc.max", { 1 } },
|
||||
{ "lowlevel.hfc.mean", { 1 } },
|
||||
{ "lowlevel.hfc.median", { 1 } },
|
||||
{ "lowlevel.hfc.min", { 1 } },
|
||||
{ "lowlevel.hfc.var", { 1 } },
|
||||
{ "tonal.hpcp.median", { 36 } },
|
||||
{ "lowlevel.melbands.dmean", { 40 } },
|
||||
{ "lowlevel.melbands.dmean2", { 40 } },
|
||||
{ "lowlevel.melbands.dvar", { 40 } },
|
||||
{ "lowlevel.melbands.dvar2", { 40 } },
|
||||
{ "lowlevel.melbands.max", { 40 } },
|
||||
{ "lowlevel.melbands.mean", { 40 } },
|
||||
{ "lowlevel.melbands.median", { 40 } },
|
||||
{ "lowlevel.melbands.min", { 40 } },
|
||||
{ "lowlevel.melbands.var", { 40 } },
|
||||
{ "lowlevel.melbands_crest.dmean", { 1 } },
|
||||
{ "lowlevel.melbands_crest.dmean2", { 1 } },
|
||||
{ "lowlevel.melbands_crest.dvar", { 1 } },
|
||||
{ "lowlevel.melbands_crest.dvar2", { 1 } },
|
||||
{ "lowlevel.melbands_crest.max", { 1 } },
|
||||
{ "lowlevel.melbands_crest.mean", { 1 } },
|
||||
{ "lowlevel.melbands_crest.median", { 1 } },
|
||||
{ "lowlevel.melbands_crest.min", { 1 } },
|
||||
{ "lowlevel.melbands_crest.var", { 1 } },
|
||||
{ "lowlevel.melbands_flatness_db.dmean", { 1 } },
|
||||
{ "lowlevel.melbands_flatness_db.dmean2", { 1 } },
|
||||
{ "lowlevel.melbands_flatness_db.dvar", { 1 } },
|
||||
{ "lowlevel.melbands_flatness_db.dvar2", { 1 } },
|
||||
{ "lowlevel.melbands_flatness_db.max", { 1 } },
|
||||
{ "lowlevel.melbands_flatness_db.mean", { 1 } },
|
||||
{ "lowlevel.melbands_flatness_db.median", { 1 } },
|
||||
{ "lowlevel.melbands_flatness_db.min", { 1 } },
|
||||
{ "lowlevel.melbands_flatness_db.var", { 1 } },
|
||||
{ "lowlevel.melbands_kurtosis.dmean", { 1 } },
|
||||
{ "lowlevel.melbands_kurtosis.dmean2", { 1 } },
|
||||
{ "lowlevel.melbands_kurtosis.dvar", { 1 } },
|
||||
{ "lowlevel.melbands_kurtosis.dvar2", { 1 } },
|
||||
{ "lowlevel.melbands_kurtosis.max", { 1 } },
|
||||
{ "lowlevel.melbands_kurtosis.mean", { 1 } },
|
||||
{ "lowlevel.melbands_kurtosis.median", { 1 } },
|
||||
{ "lowlevel.melbands_kurtosis.min", { 1 } },
|
||||
{ "lowlevel.melbands_kurtosis.var", { 1 } },
|
||||
{ "lowlevel.melbands_skewness.dmean", { 1 } },
|
||||
{ "lowlevel.melbands_skewness.dmean2", { 1 } },
|
||||
{ "lowlevel.melbands_skewness.dvar", { 1 } },
|
||||
{ "lowlevel.melbands_skewness.dvar2", { 1 } },
|
||||
{ "lowlevel.melbands_skewness.max", { 1 } },
|
||||
{ "lowlevel.melbands_skewness.mean", { 1 } },
|
||||
{ "lowlevel.melbands_skewness.median", { 1 } },
|
||||
{ "lowlevel.melbands_skewness.min", { 1 } },
|
||||
{ "lowlevel.melbands_skewness.var", { 1 } },
|
||||
{ "lowlevel.melbands_spread.dmean", { 1 } },
|
||||
{ "lowlevel.melbands_spread.dmean2", { 1 } },
|
||||
{ "lowlevel.melbands_spread.dvar", { 1 } },
|
||||
{ "lowlevel.melbands_spread.dvar2", { 1 } },
|
||||
{ "lowlevel.melbands_spread.max", { 1 } },
|
||||
{ "lowlevel.melbands_spread.mean", { 1 } },
|
||||
{ "lowlevel.melbands_spread.median", { 1 } },
|
||||
{ "lowlevel.melbands_spread.min", { 1 } },
|
||||
{ "lowlevel.melbands_spread.var", { 1 } },
|
||||
{ "lowlevel.mfcc.mean", { 13 } },
|
||||
{ "lowlevel.pitch_salience.dmean", { 1 } },
|
||||
{ "lowlevel.pitch_salience.dmean2", { 1 } },
|
||||
{ "lowlevel.pitch_salience.dvar", { 1 } },
|
||||
{ "lowlevel.pitch_salience.dvar2", { 1 } },
|
||||
{ "lowlevel.pitch_salience.max", { 1 } },
|
||||
{ "lowlevel.pitch_salience.mean", { 1 } },
|
||||
{ "lowlevel.pitch_salience.median", { 1 } },
|
||||
{ "lowlevel.pitch_salience.min", { 1 } },
|
||||
{ "lowlevel.pitch_salience.var", { 1 } },
|
||||
{ "lowlevel.silence_rate_30dB.dmean", { 1 } },
|
||||
{ "lowlevel.silence_rate_30dB.dmean2", { 1 } },
|
||||
{ "lowlevel.silence_rate_30dB.dvar", { 1 } },
|
||||
{ "lowlevel.silence_rate_30dB.dvar2", { 1 } },
|
||||
{ "lowlevel.silence_rate_30dB.max", { 1 } },
|
||||
{ "lowlevel.silence_rate_30dB.mean", { 1 } },
|
||||
{ "lowlevel.silence_rate_30dB.median", { 1 } },
|
||||
{ "lowlevel.silence_rate_30dB.min", { 1 } },
|
||||
{ "lowlevel.silence_rate_30dB.var", { 1 } },
|
||||
{ "lowlevel.silence_rate_60dB.dmean", { 1 } },
|
||||
{ "lowlevel.silence_rate_60dB.dmean2", { 1 } },
|
||||
{ "lowlevel.silence_rate_60dB.dvar", { 1 } },
|
||||
{ "lowlevel.silence_rate_60dB.dvar2", { 1 } },
|
||||
{ "lowlevel.silence_rate_60dB.max", { 1 } },
|
||||
{ "lowlevel.silence_rate_60dB.mean", { 1 } },
|
||||
{ "lowlevel.silence_rate_60dB.median", { 1 } },
|
||||
{ "lowlevel.silence_rate_60dB.min", { 1 } },
|
||||
{ "lowlevel.silence_rate_60dB.var", { 1 } },
|
||||
{ "lowlevel.spectral_centroid.dmean", { 1 } },
|
||||
{ "lowlevel.spectral_centroid.dmean2", { 1 } },
|
||||
{ "lowlevel.spectral_centroid.dvar", { 1 } },
|
||||
{ "lowlevel.spectral_centroid.dvar2", { 1 } },
|
||||
{ "lowlevel.spectral_centroid.max", { 1 } },
|
||||
{ "lowlevel.spectral_centroid.mean", { 1 } },
|
||||
{ "lowlevel.spectral_centroid.median", { 1 } },
|
||||
{ "lowlevel.spectral_centroid.min", { 1 } },
|
||||
{ "lowlevel.spectral_centroid.var", { 1 } },
|
||||
{ "lowlevel.spectral_complexity.dmean", { 1 } },
|
||||
{ "lowlevel.spectral_complexity.dmean2", { 1 } },
|
||||
{ "lowlevel.spectral_complexity.dvar", { 1 } },
|
||||
{ "lowlevel.spectral_complexity.dvar2", { 1 } },
|
||||
{ "lowlevel.spectral_complexity.max", { 1 } },
|
||||
{ "lowlevel.spectral_complexity.mean", { 1 } },
|
||||
{ "lowlevel.spectral_complexity.median", { 1 } },
|
||||
{ "lowlevel.spectral_complexity.min", { 1 } },
|
||||
{ "lowlevel.spectral_complexity.var", { 1 } },
|
||||
{ "lowlevel.spectral_contrast_coeffs.dmean", { 6 } },
|
||||
{ "lowlevel.spectral_contrast_coeffs.dmean2", { 6 } },
|
||||
{ "lowlevel.spectral_contrast_coeffs.dvar", { 6 } },
|
||||
{ "lowlevel.spectral_contrast_coeffs.dvar2", { 6 } },
|
||||
{ "lowlevel.spectral_contrast_coeffs.max", { 6 } },
|
||||
{ "lowlevel.spectral_contrast_coeffs.mean", { 6 } },
|
||||
{ "lowlevel.spectral_contrast_coeffs.median", { 6 } },
|
||||
{ "lowlevel.spectral_contrast_coeffs.min", { 6 } },
|
||||
{ "lowlevel.spectral_contrast_coeffs.var", { 6 } },
|
||||
{ "lowlevel.spectral_contrast_valleys.dmean", { 6 } },
|
||||
{ "lowlevel.spectral_contrast_valleys.dmean2", { 6 } },
|
||||
{ "lowlevel.spectral_contrast_valleys.dvar", { 6 } },
|
||||
{ "lowlevel.spectral_contrast_valleys.dvar2", { 6 } },
|
||||
{ "lowlevel.spectral_contrast_valleys.max", { 6 } },
|
||||
{ "lowlevel.spectral_contrast_valleys.mean", { 6 } },
|
||||
{ "lowlevel.spectral_contrast_valleys.median", { 6 } },
|
||||
{ "lowlevel.spectral_contrast_valleys.min", { 6 } },
|
||||
{ "lowlevel.spectral_contrast_valleys.var", { 6 } },
|
||||
{ "lowlevel.spectral_decrease.dmean", { 1 } },
|
||||
{ "lowlevel.spectral_decrease.dmean2", { 1 } },
|
||||
{ "lowlevel.spectral_decrease.dvar", { 1 } },
|
||||
{ "lowlevel.spectral_decrease.dvar2", { 1 } },
|
||||
{ "lowlevel.spectral_decrease.max", { 1 } },
|
||||
{ "lowlevel.spectral_decrease.mean", { 1 } },
|
||||
{ "lowlevel.spectral_decrease.median", { 1 } },
|
||||
{ "lowlevel.spectral_decrease.min", { 1 } },
|
||||
{ "lowlevel.spectral_decrease.var", { 1 } },
|
||||
{ "lowlevel.spectral_energy.dmean", { 1 } },
|
||||
{ "lowlevel.spectral_energy.dmean2", { 1 } },
|
||||
{ "lowlevel.spectral_energy.dvar", { 1 } },
|
||||
{ "lowlevel.spectral_energy.dvar2", { 1 } },
|
||||
{ "lowlevel.spectral_energy.max", { 1 } },
|
||||
{ "lowlevel.spectral_energy.mean", { 1 } },
|
||||
{ "lowlevel.spectral_energy.median", { 1 } },
|
||||
{ "lowlevel.spectral_energy.min", { 1 } },
|
||||
{ "lowlevel.spectral_energy.var", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_high.dmean", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_high.dmean2", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_high.dvar", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_high.dvar2", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_high.max", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_high.mean", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_high.median", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_high.min", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_high.var", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_low.dmean", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_low.dmean2", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_low.dvar", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_low.dvar2", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_low.max", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_low.mean", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_low.median", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_low.min", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_low.var", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_middle_high.dmean", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_middle_high.dmean2", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_middle_high.dvar", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_middle_high.dvar2", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_middle_high.max", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_middle_high.mean", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_middle_high.median", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_middle_high.min", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_middle_high.var", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_middle_low.dmean", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_middle_low.dmean2", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_middle_low.dvar", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_middle_low.dvar2", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_middle_low.max", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_middle_low.mean", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_middle_low.median", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_middle_low.min", { 1 } },
|
||||
{ "lowlevel.spectral_energyband_middle_low.var", { 1 } },
|
||||
{ "lowlevel.spectral_entropy.dmean", { 1 } },
|
||||
{ "lowlevel.spectral_entropy.dmean2", { 1 } },
|
||||
{ "lowlevel.spectral_entropy.dvar", { 1 } },
|
||||
{ "lowlevel.spectral_entropy.dvar2", { 1 } },
|
||||
{ "lowlevel.spectral_entropy.max", { 1 } },
|
||||
{ "lowlevel.spectral_entropy.mean", { 1 } },
|
||||
{ "lowlevel.spectral_entropy.median", { 1 } },
|
||||
{ "lowlevel.spectral_entropy.min", { 1 } },
|
||||
{ "lowlevel.spectral_entropy.var", { 1 } },
|
||||
{ "lowlevel.spectral_flux.dmean", { 1 } },
|
||||
{ "lowlevel.spectral_flux.dmean2", { 1 } },
|
||||
{ "lowlevel.spectral_flux.dvar", { 1 } },
|
||||
{ "lowlevel.spectral_flux.dvar2", { 1 } },
|
||||
{ "lowlevel.spectral_flux.max", { 1 } },
|
||||
{ "lowlevel.spectral_flux.mean", { 1 } },
|
||||
{ "lowlevel.spectral_flux.median", { 1 } },
|
||||
{ "lowlevel.spectral_flux.min", { 1 } },
|
||||
{ "lowlevel.spectral_flux.var", { 1 } },
|
||||
{ "lowlevel.spectral_kurtosis.dmean", { 1 } },
|
||||
{ "lowlevel.spectral_kurtosis.dmean2", { 1 } },
|
||||
{ "lowlevel.spectral_kurtosis.dvar", { 1 } },
|
||||
{ "lowlevel.spectral_kurtosis.dvar2", { 1 } },
|
||||
{ "lowlevel.spectral_kurtosis.max", { 1 } },
|
||||
{ "lowlevel.spectral_kurtosis.mean", { 1 } },
|
||||
{ "lowlevel.spectral_kurtosis.median", { 1 } },
|
||||
{ "lowlevel.spectral_kurtosis.min", { 1 } },
|
||||
{ "lowlevel.spectral_kurtosis.var", { 1 } },
|
||||
{ "lowlevel.spectral_rms.dmean", { 1 } },
|
||||
{ "lowlevel.spectral_rms.dmean2", { 1 } },
|
||||
{ "lowlevel.spectral_rms.dvar", { 1 } },
|
||||
{ "lowlevel.spectral_rms.dvar2", { 1 } },
|
||||
{ "lowlevel.spectral_rms.max", { 1 } },
|
||||
{ "lowlevel.spectral_rms.mean", { 1 } },
|
||||
{ "lowlevel.spectral_rms.median", { 1 } },
|
||||
{ "lowlevel.spectral_rms.min", { 1 } },
|
||||
{ "lowlevel.spectral_rms.var", { 1 } },
|
||||
{ "lowlevel.spectral_rolloff.dmean", { 1 } },
|
||||
{ "lowlevel.spectral_rolloff.dmean2", { 1 } },
|
||||
{ "lowlevel.spectral_rolloff.dvar", { 1 } },
|
||||
{ "lowlevel.spectral_rolloff.dvar2", { 1 } },
|
||||
{ "lowlevel.spectral_rolloff.max", { 1 } },
|
||||
{ "lowlevel.spectral_rolloff.mean", { 1 } },
|
||||
{ "lowlevel.spectral_rolloff.median", { 1 } },
|
||||
{ "lowlevel.spectral_rolloff.min", { 1 } },
|
||||
{ "lowlevel.spectral_rolloff.var", { 1 } },
|
||||
{ "lowlevel.spectral_skewness.dmean", { 1 } },
|
||||
{ "lowlevel.spectral_skewness.dmean2", { 1 } },
|
||||
{ "lowlevel.spectral_skewness.dvar", { 1 } },
|
||||
{ "lowlevel.spectral_skewness.dvar2", { 1 } },
|
||||
{ "lowlevel.spectral_skewness.max", { 1 } },
|
||||
{ "lowlevel.spectral_skewness.mean", { 1 } },
|
||||
{ "lowlevel.spectral_skewness.median", { 1 } },
|
||||
{ "lowlevel.spectral_skewness.min", { 1 } },
|
||||
{ "lowlevel.spectral_skewness.var", { 1 } },
|
||||
{ "lowlevel.spectral_spread.dmean", { 1 } },
|
||||
{ "lowlevel.spectral_spread.dmean2", { 1 } },
|
||||
{ "lowlevel.spectral_spread.dvar", { 1 } },
|
||||
{ "lowlevel.spectral_spread.dvar2", { 1 } },
|
||||
{ "lowlevel.spectral_spread.max", { 1 } },
|
||||
{ "lowlevel.spectral_spread.mean", { 1 } },
|
||||
{ "lowlevel.spectral_spread.median", { 1 } },
|
||||
{ "lowlevel.spectral_spread.min", { 1 } },
|
||||
{ "lowlevel.spectral_spread.var", { 1 } },
|
||||
{ "lowlevel.spectral_strongpeak.dmean", { 1 } },
|
||||
{ "lowlevel.spectral_strongpeak.dmean2", { 1 } },
|
||||
{ "lowlevel.spectral_strongpeak.dvar", { 1 } },
|
||||
{ "lowlevel.spectral_strongpeak.dvar2", { 1 } },
|
||||
{ "lowlevel.spectral_strongpeak.max", { 1 } },
|
||||
{ "lowlevel.spectral_strongpeak.mean", { 1 } },
|
||||
{ "lowlevel.spectral_strongpeak.median", { 1 } },
|
||||
{ "lowlevel.spectral_strongpeak.min", { 1 } },
|
||||
{ "lowlevel.spectral_strongpeak.var", { 1 } },
|
||||
{ "lowlevel.zerocrossingrate.dmean", { 1 } },
|
||||
{ "lowlevel.zerocrossingrate.dmean2", { 1 } },
|
||||
{ "lowlevel.zerocrossingrate.dvar", { 1 } },
|
||||
{ "lowlevel.zerocrossingrate.dvar2", { 1 } },
|
||||
{ "lowlevel.zerocrossingrate.max", { 1 } },
|
||||
{ "lowlevel.zerocrossingrate.mean", { 1 } },
|
||||
{ "lowlevel.zerocrossingrate.median", { 1 } },
|
||||
{ "lowlevel.zerocrossingrate.min", { 1 } },
|
||||
{ "lowlevel.zerocrossingrate.var", { 1 } },
|
||||
};
|
||||
|
||||
return it->second;
|
||||
}
|
||||
FeatureDef getFeatureDef(const FeatureName& featureName)
|
||||
{
|
||||
auto it{ featureDefinitions.find(featureName) };
|
||||
if (it == std::cend(featureDefinitions))
|
||||
throw core::LmsException{ "Unhandled requested feature '" + featureName + "'" };
|
||||
|
||||
FeatureNames
|
||||
getFeatureNames()
|
||||
{
|
||||
FeatureNames res;
|
||||
return it->second;
|
||||
}
|
||||
|
||||
std::transform(std::cbegin(featureDefinitions), std::cend(featureDefinitions),
|
||||
std::inserter(res, std::begin(res)), [](auto itFeature) { return itFeature.first; });
|
||||
FeatureNames getFeatureNames()
|
||||
{
|
||||
FeatureNames res;
|
||||
|
||||
return res;
|
||||
}
|
||||
std::transform(std::cbegin(featureDefinitions), std::cend(featureDefinitions),
|
||||
std::inserter(res, std::begin(res)), [](auto itFeature) { return itFeature.first; });
|
||||
|
||||
return res;
|
||||
}
|
||||
|
||||
} // namespace lms::recommendation
|
||||
|
||||
|
||||
@@ -24,26 +24,27 @@
|
||||
#include <unordered_set>
|
||||
#include <vector>
|
||||
|
||||
namespace lms::recommendation {
|
||||
|
||||
using FeatureName = std::string;
|
||||
using FeatureNames = std::unordered_set<FeatureName>;
|
||||
using FeatureValue = double;
|
||||
using FeatureValues = std::vector<FeatureValue>;
|
||||
using FeatureValuesMap = std::unordered_map<FeatureName, FeatureValues>;
|
||||
|
||||
struct FeatureDef
|
||||
namespace lms::recommendation
|
||||
{
|
||||
std::size_t nbDimensions {};
|
||||
};
|
||||
|
||||
FeatureDef getFeatureDef(const FeatureName& featureName);
|
||||
FeatureNames getFeatureNames();
|
||||
using FeatureName = std::string;
|
||||
using FeatureNames = std::unordered_set<FeatureName>;
|
||||
using FeatureValue = double;
|
||||
using FeatureValues = std::vector<FeatureValue>;
|
||||
using FeatureValuesMap = std::unordered_map<FeatureName, FeatureValues>;
|
||||
|
||||
struct FeatureSettings
|
||||
{
|
||||
double weight {};
|
||||
};
|
||||
using FeatureSettingsMap = std::unordered_map<FeatureName, FeatureSettings>;
|
||||
struct FeatureDef
|
||||
{
|
||||
std::size_t nbDimensions{};
|
||||
};
|
||||
|
||||
FeatureDef getFeatureDef(const FeatureName& featureName);
|
||||
FeatureNames getFeatureNames();
|
||||
|
||||
struct FeatureSettings
|
||||
{
|
||||
double weight{};
|
||||
};
|
||||
using FeatureSettingsMap = std::unordered_map<FeatureName, FeatureSettings>;
|
||||
|
||||
} // namespace lms::recommendation
|
||||
|
||||
@@ -21,6 +21,8 @@
|
||||
|
||||
#include <numeric>
|
||||
|
||||
#include "core/ILogger.hpp"
|
||||
#include "core/Random.hpp"
|
||||
#include "database/Artist.hpp"
|
||||
#include "database/Db.hpp"
|
||||
#include "database/Release.hpp"
|
||||
@@ -30,8 +32,6 @@
|
||||
#include "database/TrackFeatures.hpp"
|
||||
#include "database/TrackList.hpp"
|
||||
#include "som/DataNormalizer.hpp"
|
||||
#include "core/ILogger.hpp"
|
||||
#include "core/Random.hpp"
|
||||
|
||||
namespace lms::recommendation
|
||||
{
|
||||
@@ -47,7 +47,7 @@ namespace lms::recommendation
|
||||
std::optional<som::InputVector> convertFeatureValuesMapToInputVector(const FeatureValuesMap& featureValuesMap, std::size_t nbDimensions)
|
||||
{
|
||||
std::size_t i{};
|
||||
std::optional<som::InputVector> res{ som::InputVector {nbDimensions} };
|
||||
std::optional<som::InputVector> res{ som::InputVector{ nbDimensions } };
|
||||
for (const auto& [featureName, values] : featureValuesMap)
|
||||
{
|
||||
if (values.size() != getFeatureDef(featureName).nbDimensions)
|
||||
@@ -80,17 +80,16 @@ namespace lms::recommendation
|
||||
|
||||
return weights;
|
||||
}
|
||||
}
|
||||
} // namespace
|
||||
|
||||
const FeatureSettingsMap& FeaturesEngine::getDefaultTrainFeatureSettings()
|
||||
{
|
||||
static const FeatureSettingsMap defaultTrainFeatureSettings
|
||||
{
|
||||
{ "lowlevel.spectral_energyband_high.mean", {1}},
|
||||
{ "lowlevel.spectral_rolloff.median", {1}},
|
||||
{ "lowlevel.spectral_contrast_valleys.var", {1}},
|
||||
{ "lowlevel.erbbands.mean", {1}},
|
||||
{ "lowlevel.gfcc.mean", {1}},
|
||||
static const FeatureSettingsMap defaultTrainFeatureSettings{
|
||||
{ "lowlevel.spectral_energyband_high.mean", { 1 } },
|
||||
{ "lowlevel.spectral_rolloff.median", { 1 } },
|
||||
{ "lowlevel.spectral_contrast_valleys.var", { 1 } },
|
||||
{ "lowlevel.erbbands.mean", { 1 } },
|
||||
{ "lowlevel.gfcc.mean", { 1 } },
|
||||
};
|
||||
|
||||
return defaultTrainFeatureSettings;
|
||||
@@ -104,12 +103,12 @@ namespace lms::recommendation
|
||||
std::transform(std::cbegin(trainSettings.featureSettingsMap), std::cend(trainSettings.featureSettingsMap), std::inserter(featureNames, std::begin(featureNames)),
|
||||
[](const auto& itFeatureSetting) { return itFeatureSetting.first; });
|
||||
|
||||
const std::size_t nbDimensions{ std::accumulate(std::cbegin(featureNames), std::cend(featureNames), std::size_t {0},
|
||||
[](std::size_t sum, const FeatureName& featureName) { return sum + getFeatureDef(featureName).nbDimensions; }) };
|
||||
const std::size_t nbDimensions{ std::accumulate(std::cbegin(featureNames), std::cend(featureNames), std::size_t{ 0 },
|
||||
[](std::size_t sum, const FeatureName& featureName) { return sum + getFeatureDef(featureName).nbDimensions; }) };
|
||||
|
||||
LMS_LOG(RECOMMENDATION, DEBUG, "Features dimension = " << nbDimensions);
|
||||
|
||||
Session & session{ _db.getTLSSession() };
|
||||
Session& session{ _db.getTLSSession() };
|
||||
|
||||
RangeResults<TrackFeaturesId> trackFeaturesIds;
|
||||
{
|
||||
@@ -178,10 +177,9 @@ namespace lms::recommendation
|
||||
som::InputVector weights{ getInputVectorWeights(trainSettings.featureSettingsMap, nbDimensions) };
|
||||
network.setDataWeights(weights);
|
||||
|
||||
auto somProgressCallback{ [&](const som::Network::CurrentIteration& iter)
|
||||
{
|
||||
auto somProgressCallback{ [&](const som::Network::CurrentIteration& iter) {
|
||||
LMS_LOG(RECOMMENDATION, DEBUG, "Current pass = " << iter.idIteration << " / " << iter.iterationCount);
|
||||
progressCallback(Progress {iter.idIteration, iter.iterationCount});
|
||||
progressCallback(Progress{ iter.idIteration, iter.iterationCount });
|
||||
} };
|
||||
|
||||
LMS_LOG(RECOMMENDATION, DEBUG, "Training network...");
|
||||
@@ -216,15 +214,14 @@ namespace lms::recommendation
|
||||
|
||||
TrackContainer FeaturesEngine::findSimilarTracksFromTrackList(TrackListId trackListId, std::size_t maxCount) const
|
||||
{
|
||||
const TrackContainer trackIds{ [&]
|
||||
{
|
||||
const TrackContainer trackIds{ [&] {
|
||||
TrackContainer res;
|
||||
|
||||
Session& session {_db.getTLSSession()};
|
||||
Session& session{ _db.getTLSSession() };
|
||||
|
||||
auto transaction {session.createReadTransaction()};
|
||||
auto transaction{ session.createReadTransaction() };
|
||||
|
||||
const TrackList::pointer trackList {TrackList::find(session, trackListId)};
|
||||
const TrackList::pointer trackList{ TrackList::find(session, trackListId) };
|
||||
if (trackList)
|
||||
res = trackList->getTrackIds();
|
||||
|
||||
@@ -245,10 +242,10 @@ namespace lms::recommendation
|
||||
auto transaction{ session.createReadTransaction() };
|
||||
|
||||
similarTrackIds.erase(std::remove_if(std::begin(similarTrackIds), std::end(similarTrackIds),
|
||||
[&](TrackId trackId)
|
||||
{
|
||||
return !Track::exists(session, trackId);
|
||||
}), std::end(similarTrackIds));
|
||||
[&](TrackId trackId) {
|
||||
return !Track::exists(session, trackId);
|
||||
}),
|
||||
std::end(similarTrackIds));
|
||||
}
|
||||
|
||||
return similarTrackIds;
|
||||
@@ -256,7 +253,7 @@ namespace lms::recommendation
|
||||
|
||||
ReleaseContainer FeaturesEngine::getSimilarReleases(ReleaseId releaseId, std::size_t maxCount) const
|
||||
{
|
||||
auto similarReleaseIds{ getSimilarObjects({releaseId}, _releaseMatrix, _releasePositions, maxCount) };
|
||||
auto similarReleaseIds{ getSimilarObjects({ releaseId }, _releaseMatrix, _releasePositions, maxCount) };
|
||||
|
||||
Session& session{ _db.getTLSSession() };
|
||||
|
||||
@@ -266,10 +263,10 @@ namespace lms::recommendation
|
||||
auto transaction{ session.createReadTransaction() };
|
||||
|
||||
similarReleaseIds.erase(std::remove_if(std::begin(similarReleaseIds), std::end(similarReleaseIds),
|
||||
[&](ReleaseId releaseId)
|
||||
{
|
||||
return !Release::exists(session, releaseId);
|
||||
}), std::end(similarReleaseIds));
|
||||
[&](ReleaseId releaseId) {
|
||||
return !Release::exists(session, releaseId);
|
||||
}),
|
||||
std::end(similarReleaseIds));
|
||||
}
|
||||
|
||||
return similarReleaseIds;
|
||||
@@ -277,17 +274,16 @@ namespace lms::recommendation
|
||||
|
||||
ArtistContainer FeaturesEngine::getSimilarArtists(ArtistId artistId, core::EnumSet<TrackArtistLinkType> linkTypes, std::size_t maxCount) const
|
||||
{
|
||||
auto getSimilarArtistIdsForLinkType{ [&](TrackArtistLinkType linkType)
|
||||
{
|
||||
auto getSimilarArtistIdsForLinkType{ [&](TrackArtistLinkType linkType) {
|
||||
ArtistContainer similarArtistIds;
|
||||
|
||||
const auto itArtists {_artistMatrix.find(linkType)};
|
||||
const auto itArtists{ _artistMatrix.find(linkType) };
|
||||
if (itArtists == std::cend(_artistMatrix))
|
||||
{
|
||||
return similarArtistIds;
|
||||
}
|
||||
|
||||
return getSimilarObjects({artistId}, itArtists->second, _artistPositions, maxCount);
|
||||
return getSimilarObjects({ artistId }, itArtists->second, _artistPositions, maxCount);
|
||||
} };
|
||||
|
||||
std::unordered_set<ArtistId> similarArtistIds;
|
||||
@@ -306,10 +302,10 @@ namespace lms::recommendation
|
||||
auto transaction{ session.createReadTransaction() };
|
||||
|
||||
res.erase(std::remove_if(std::begin(res), std::end(res),
|
||||
[&](ArtistId artistId)
|
||||
{
|
||||
return !Artist::exists(session, artistId);
|
||||
}), std::end(res));
|
||||
[&](ArtistId artistId) {
|
||||
return !Artist::exists(session, artistId);
|
||||
}),
|
||||
std::end(res));
|
||||
}
|
||||
|
||||
while (res.size() > maxCount)
|
||||
@@ -364,7 +360,7 @@ namespace lms::recommendation
|
||||
|
||||
LMS_LOG(RECOMMENDATION, DEBUG, "Constructing maps...");
|
||||
|
||||
Session & session{ _db.getTLSSession() };
|
||||
Session& session{ _db.getTLSSession() };
|
||||
|
||||
for (const auto& [trackId, positions] : trackPositions)
|
||||
{
|
||||
@@ -410,4 +406,4 @@ namespace lms::recommendation
|
||||
LMS_LOG(RECOMMENDATION, INFO, "Classifier successfully loaded!");
|
||||
}
|
||||
|
||||
} // ns Recommendation
|
||||
} // namespace lms::recommendation
|
||||
|
||||
@@ -21,17 +21,18 @@
|
||||
|
||||
#include <algorithm>
|
||||
#include <functional>
|
||||
#include <unordered_map>
|
||||
#include <optional>
|
||||
#include <string>
|
||||
#include <unordered_map>
|
||||
#include <vector>
|
||||
|
||||
#include "core/Utils.hpp"
|
||||
#include "som/DataNormalizer.hpp"
|
||||
#include "som/Network.hpp"
|
||||
#include "core/Utils.hpp"
|
||||
#include "IEngine.hpp"
|
||||
#include "FeaturesEngineCache.hpp"
|
||||
|
||||
#include "FeaturesDefs.hpp"
|
||||
#include "FeaturesEngineCache.hpp"
|
||||
#include "IEngine.hpp"
|
||||
|
||||
namespace lms::db
|
||||
{
|
||||
@@ -45,7 +46,8 @@ namespace lms::recommendation
|
||||
class FeaturesEngine : public IEngine
|
||||
{
|
||||
public:
|
||||
FeaturesEngine(db::Db& db) : _db{ db } {}
|
||||
FeaturesEngine(db::Db& db)
|
||||
: _db{ db } {}
|
||||
|
||||
FeaturesEngine(const FeaturesEngine&) = delete;
|
||||
FeaturesEngine(FeaturesEngine&&) = delete;
|
||||
@@ -74,14 +76,14 @@ namespace lms::recommendation
|
||||
};
|
||||
void loadFromTraining(const TrainSettings& trainSettings, const ProgressCallback& progressCallback);
|
||||
|
||||
template <typename IdType>
|
||||
template<typename IdType>
|
||||
using ObjectPositions = std::unordered_map<IdType, std::vector<som::Position>>;
|
||||
|
||||
using ArtistPositions = ObjectPositions<db::ArtistId>;
|
||||
using ReleasePositions = ObjectPositions<db::ReleaseId>;
|
||||
using TrackPositions = ObjectPositions<db::TrackId>;
|
||||
|
||||
template <typename IdType>
|
||||
template<typename IdType>
|
||||
using ObjectMatrix = som::Matrix<std::vector<IdType>>;
|
||||
using ArtistMatrix = ObjectMatrix<db::ArtistId>;
|
||||
using ReleaseMatrix = ObjectMatrix<db::ReleaseId>;
|
||||
@@ -91,34 +93,34 @@ namespace lms::recommendation
|
||||
|
||||
FeaturesEngineCache toCache() const;
|
||||
|
||||
template <typename IdType>
|
||||
template<typename IdType>
|
||||
static std::vector<som::Position> getMatchingRefVectorsPosition(const std::vector<IdType>& ids, const ObjectPositions<IdType>& objectPositions);
|
||||
|
||||
template <typename IdType>
|
||||
template<typename IdType>
|
||||
static std::vector<IdType> getObjectsIds(const std::vector<som::Position>& positions, const ObjectMatrix<IdType>& objectsMatrix);
|
||||
|
||||
template <typename IdType>
|
||||
template<typename IdType>
|
||||
std::vector<IdType> getSimilarObjects(const std::vector<IdType>& ids,
|
||||
const ObjectMatrix<IdType>& objectMatrix,
|
||||
const ObjectPositions<IdType>& objectPositions,
|
||||
std::size_t maxCount) const;
|
||||
|
||||
db::Db& _db;
|
||||
bool _loadCancelled{};
|
||||
std::unique_ptr<som::Network> _network;
|
||||
double _networkRefVectorsDistanceMedian{};
|
||||
bool _loadCancelled{};
|
||||
std::unique_ptr<som::Network> _network;
|
||||
double _networkRefVectorsDistanceMedian{};
|
||||
|
||||
ArtistPositions _artistPositions;
|
||||
ArtistPositions _artistPositions;
|
||||
std::unordered_map<db::TrackArtistLinkType, ArtistMatrix> _artistMatrix;
|
||||
|
||||
ReleasePositions _releasePositions;
|
||||
ReleaseMatrix _releaseMatrix;
|
||||
ReleasePositions _releasePositions;
|
||||
ReleaseMatrix _releaseMatrix;
|
||||
|
||||
TrackPositions _trackPositions;
|
||||
TrackMatrix _trackMatrix;
|
||||
TrackPositions _trackPositions;
|
||||
TrackMatrix _trackMatrix;
|
||||
};
|
||||
|
||||
template <typename IdType>
|
||||
template<typename IdType>
|
||||
std::vector<som::Position> FeaturesEngine::getMatchingRefVectorsPosition(const std::vector<IdType>& ids, const ObjectPositions<IdType>& objectPositions)
|
||||
{
|
||||
std::vector<som::Position> res;
|
||||
@@ -139,7 +141,7 @@ namespace lms::recommendation
|
||||
return res;
|
||||
}
|
||||
|
||||
template <typename IdType>
|
||||
template<typename IdType>
|
||||
std::vector<IdType> FeaturesEngine::getObjectsIds(const std::vector<som::Position>& positions, const ObjectMatrix<IdType>& objectMatrix)
|
||||
{
|
||||
std::vector<IdType> res;
|
||||
@@ -153,11 +155,11 @@ namespace lms::recommendation
|
||||
return res;
|
||||
}
|
||||
|
||||
template <typename IdType>
|
||||
template<typename IdType>
|
||||
std::vector<IdType> FeaturesEngine::getSimilarObjects(const std::vector<IdType>& ids,
|
||||
const ObjectMatrix<IdType>& objectMatrix,
|
||||
const ObjectPositions<IdType>& objectPositions,
|
||||
std::size_t maxCount) const
|
||||
const ObjectMatrix<IdType>& objectMatrix,
|
||||
const ObjectPositions<IdType>& objectPositions,
|
||||
std::size_t maxCount) const
|
||||
{
|
||||
std::vector<IdType> res;
|
||||
|
||||
@@ -171,11 +173,10 @@ namespace lms::recommendation
|
||||
|
||||
// Remove objects that are already in input or already reported
|
||||
closestObjectIds.erase(std::remove_if(std::begin(closestObjectIds), std::end(closestObjectIds),
|
||||
[&](IdType id)
|
||||
{
|
||||
return std::find(std::cbegin(ids), std::cend(ids), id) != std::cend(ids);
|
||||
})
|
||||
, std::end(closestObjectIds));
|
||||
[&](IdType id) {
|
||||
return std::find(std::cbegin(ids), std::cend(ids), id) != std::cend(ids);
|
||||
}),
|
||||
std::end(closestObjectIds));
|
||||
|
||||
for (IdType id : closestObjectIds)
|
||||
{
|
||||
@@ -198,4 +199,4 @@ namespace lms::recommendation
|
||||
|
||||
return res;
|
||||
}
|
||||
}
|
||||
} // namespace lms::recommendation
|
||||
|
||||
@@ -86,7 +86,7 @@ namespace lms::recommendation
|
||||
return false;
|
||||
}
|
||||
}
|
||||
}
|
||||
} // namespace
|
||||
|
||||
std::optional<som::Network> FeaturesEngineCache::createNetworkFromCacheFile(const std::filesystem::path& path)
|
||||
{
|
||||
@@ -240,8 +240,8 @@ namespace lms::recommendation
|
||||
}
|
||||
|
||||
FeaturesEngineCache::FeaturesEngineCache(som::Network network, TrackPositions trackPositions)
|
||||
: _network{ std::move(network) },
|
||||
_trackPositions{ std::move(trackPositions) }
|
||||
: _network{ std::move(network) }
|
||||
, _trackPositions{ std::move(trackPositions) }
|
||||
{
|
||||
}
|
||||
|
||||
|
||||
@@ -47,8 +47,8 @@ namespace lms::recommendation
|
||||
|
||||
friend class FeaturesEngine;
|
||||
|
||||
som::Network _network;
|
||||
TrackPositions _trackPositions;
|
||||
som::Network _network;
|
||||
TrackPositions _trackPositions;
|
||||
};
|
||||
|
||||
} // namespace lms::recommendation
|
||||
|
||||
Reference in New Issue
Block a user