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MTG / essentia

C++ library for audio and music analysis, description and synthesis, including Python bindings
http://essentia.upf.edu
GNU Affero General Public License v3.0
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Trouble with Missing Metadata using Prebuilt Classifiers #600

Closed laag115 closed 6 years ago

laag115 commented 7 years ago

When I run the essentia_streaming_extractor svm it loads all of the SVM models fine, but it skips over whatever json input I give it due to some missing metadata. I get the error: skipping /home/song1.json due to error: Descriptor metadata.audio_properties.analysis_sample_rate could not be found in pool

I built the latest gaia and essentia from source downloaded the pretrained classifiers from v2.1_beta1 I ran the command: ./essentia_streaming_extractor_music /home/song1.wav /home/song1.json /home/luis/Documents/Mood/json-output.profile

Where json-output.profile is simply: outputFormat: json

My json file looks like this: { "lowlevel": { "average_loudness": 0.915173351765, "barkbands_crest": { "dmean": 2.4410545826, "dmean2": 3.90370059013, "dvar": 6.02479696274, "dvar2": 14.1920366287, "max": 26.457567215, "mean": 8.9786863327, "median": 7.98963403702, "min": 2.39254283905, "stdev": 4.03907299042, "var": 16.3141117096 }, "barkbands_flatness_db": { "dmean": 0.0217868536711, "dmean2": 0.032297976315, "dvar": 0.000532257196028, "dvar2": 0.00117349112406, "max": 0.453197598457, "mean": 0.125054314733, "median": 0.11842815578, "min": 0.0209484379739, "stdev": 0.0461548492312, "var": 0.0021302702371 }, "barkbands_kurtosis": { "dmean": 3.09253931046, "dmean2": 4.87705230713, "dvar": 246.181289673, "dvar2": 663.179016113, "max": 712.134643555, "mean": 3.57184481621, "median": 0.607917904854, "min": -1.9390733242, "stdev": 16.7105998993, "var": 279.244140625 }, "barkbands_skewness": { "dmean": 0.566167652607, "dmean2": 0.841270506382, "dvar": 0.57044917345, "dvar2": 1.27259039879, "max": 23.5171356201, "mean": 1.1700373888, "median": 1.00380480289, "min": -5.33256578445, "stdev": 1.51697659492, "var": 2.30121803284 }, "barkbands_spread": { "dmean": 7.26132011414, "dmean2": 10.8198575974, "dvar": 83.5018997192, "dvar2": 164.357131958, "max": 120.057174683, "mean": 29.6348323822, "median": 26.4154129028, "min": 0.24375487864, "stdev": 18.1319675446, "var": 328.768249512 }, "dissonance": { "dmean": 0.0160444788635, "dmean2": 0.0264678243548, "dvar": 0.0003476566053, "dvar2": 0.000887125555892, "max": 0.500000119209, "mean": 0.468051731586, "median": 0.476229131222, "min": 0.147627085447, "stdev": 0.0281577948481, "var": 0.000792861392256 }, "dynamic_complexity": 3.30119085312, "erbbands_crest": { "dmean": 2.60403609276, "dmean2": 4.10726213455, "dvar": 7.11645555496, "dvar2": 15.9758729935, "max": 32.0690383911, "mean": 9.06344795227, "median": 7.85005187988, "min": 1.84471070766, "stdev": 4.66687870026, "var": 21.7797546387 }, "erbbands_flatness_db": { "dmean": 0.0179110821337, "dmean2": 0.0252127200365, "dvar": 0.000337778998073, "dvar2": 0.000623092171736, "max": 0.306338489056, "mean": 0.153944388032, "median": 0.150386407971, "min": 0.0297872815281, "stdev": 0.0404520370066, "var": 0.00163636729121 }, "erbbands_kurtosis": { "dmean": 1.06001341343, "dmean2": 1.63642680645, "dvar": 2.38255405426, "dvar2": 5.301882267, "max": 32.6214103699, "mean": 0.824331402779, "median": 0.0929934978485, "min": -1.84658753872, "stdev": 2.42557382584, "var": 5.88340806961 }, "erbbands_skewness": { "dmean": 0.390945643187, "dmean2": 0.572800159454, "dvar": 0.169605910778, "dvar2": 0.34337708354, "max": 5.11451816559, "mean": -0.0563366636634, "median": -0.121100090444, "min": -3.9366440773, "stdev": 0.937790334225, "var": 0.879450678825 }, "erbbands_spread": { "dmean": 8.876121521, "dmean2": 13.4463272095, "dvar": 104.10093689, "dvar2": 228.341125488, "max": 150.57585144, "mean": 39.9430198669, "median": 36.8963470459, "min": 3.45931792259, "stdev": 19.9473209381, "var": 397.895629883 }, "hfc": { "dmean": 8.12411880493, "dmean2": 11.0515546799, "dvar": 139.504974365, "dvar2": 235.98374939, "max": 158.826828003, "mean": 23.6744232178, "median": 17.1300392151, "min": 1.05751368633e-16, "stdev": 22.9923496246, "var": 528.648132324 }, "loudness_ebu128": { "integrated": -10.8551006317, "loudness_range": 4.3626499176, "momentary": { "dmean": 0.828092455864, "dmean2": 1.19581329823, "dvar": 12.6105318069, "dvar2": 15.0041179657, "max": -7.47777080536, "mean": -18.87774086, "median": -11.1182079315, "min": -300.691009521, "stdev": 43.9522018433, "var": 1931.79589844 }, "short_term": { "dmean": 0.212508231401, "dmean2": 0.24267950654, "dvar": 9.70456314087, "dvar2": 10.9463634491, "max": -8.49704837799, "mean": -15.6291437149, "median": -11.2301006317, "min": -300.691009521, "stdev": 32.3512763977, "var": 1046.60498047 } }, "melbands_crest": { "dmean": 3.38106989861, "dmean2": 5.49481868744, "dvar": 10.4140720367, "dvar2": 26.0189437866, "max": 34.6935920715, "mean": 14.0894260406, "median": 13.4910402298, "min": 1.44620895386, "stdev": 5.70622396469, "var": 32.5609931946 }, "melbands_flatness_db": { "dmean": 0.0265969913453, "dmean2": 0.0389927811921, "dvar": 0.000828890013508, "dvar2": 0.00181111949496, "max": 0.565253138542, "mean": 0.172294735909, "median": 0.167246326804, "min": 0.00275006098673, "stdev": 0.068466797471, "var": 0.00468770228326 }, "melbands_kurtosis": { "dmean": 7.43441390991, "dmean2": 11.2577075958, "dvar": 439.149139404, "dvar2": 905.229125977, "max": 1018.85870361, "mean": 13.0090742111, "median": 5.24451494217, "min": -1.85675323009, "stdev": 33.5636138916, "var": 1126.51611328 }, "melbands_skewness": { "dmean": 0.753607690334, "dmean2": 1.13517415524, "dvar": 0.929046869278, "dvar2": 1.94187617302, "max": 23.681810379, "mean": 2.48571300507, "median": 2.15241670609, "min": -2.31915426254, "stdev": 1.98879241943, "var": 3.95529508591 }, "melbands_spread": { "dmean": 10.5961313248, "dmean2": 16.1043395996, "dvar": 236.605560303, "dvar2": 489.410705566, "max": 262.423736572, "mean": 36.654460907, "median": 27.855266571, "min": 0.244516611099, "stdev": 32.3888130188, "var": 1049.03515625 }, "pitch_salience": { "dmean": 0.071505703032, "dmean2": 0.115469351411, "dvar": 0.00477556185797, "dvar2": 0.0120870247483, "max": 0.958504617214, "mean": 0.549440264702, "median": 0.550665080547, "min": 0.0547191053629, "stdev": 0.115506500006, "var": 0.0133417518809 }, "silence_rate_20dB": { "dmean": 0, "dmean2": 0, "dvar": 0, "dvar2": 0, "max": 1, "mean": 1, "median": 1, "min": 1, "stdev": 0, "var": 0 }, "silence_rate_30dB": { "dmean": 0, "dmean2": 0, "dvar": 0, "dvar2": 0, "max": 1, "mean": 1, "median": 1, "min": 1, "stdev": 0, "var": 0 }, "silence_rate_60dB": { "dmean": 0.02532408759, "dmean2": 0.0506532676518, "dvar": 0.0246823728085, "dvar2": 0.0521052144468, "max": 1, "mean": 0.0961615741253, "median": 0, "min": 0, "stdev": 0.294810295105, "var": 0.0869131088257 }, "spectral_centroid": { "dmean": 312.769775391, "dmean2": 459.771911621, "dvar": 138470.609375, "dvar2": 267136.4375, "max": 11932.1689453, "mean": 1945.01525879, "median": 1639.60546875, "min": 179.969436646, "stdev": 1685.39953613, "var": 2840571.5 }, "spectral_complexity": { "dmean": 4.56717920303, "dmean2": 6.50572872162, "dvar": 31.2245368958, "dvar2": 53.5134849548, "max": 63, "mean": 19.1019897461, "median": 17, "min": 0, "stdev": 12.227637291, "var": 149.515106201 }, "spectral_decrease": { "dmean": 2.15446060992e-09, "dmean2": 3.23108162448e-09, "dvar": 1.22252620965e-17, "dvar2": 2.79079389757e-17, "max": 1.92831436603e-28, "mean": -5.4279460926e-09, "median": -4.29585256256e-09, "min": -3.57116469729e-08, "stdev": 4.67416727545e-09, "var": 2.18478384459e-17 }, "spectral_energy": { "dmean": 0.00861296243966, "dmean2": 0.0127628464252, "dvar": 0.000187436147826, "dvar2": 0.000421169126639, "max": 0.138306841254, "mean": 0.0226337052882, "median": 0.0182765889913, "min": 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"spectral_energyband_middle_low": { "dmean": 0.00450115138665, "dmean2": 0.00703035201877, "dvar": 7.00140371919e-05, "dvar2": 0.000162457916304, "max": 0.0883905366063, "mean": 0.00932210683823, "median": 0.00589500460774, "min": 1.28141404241e-22, "stdev": 0.0106171499938, "var": 0.000112723872007 }, "spectral_entropy": { "dmean": 0.16752718389, "dmean2": 0.230427056551, "dvar": 0.0343257077038, "dvar2": 0.0607037954032, "max": 9.82805156708, "mean": 7.73753547668, "median": 7.70264625549, "min": 5.94257450104, "stdev": 0.531602323055, "var": 0.282601028681 }, "spectral_flux": { "dmean": 0.0270512029529, "dmean2": 0.039862062782, "dvar": 0.00108998699579, "dvar2": 0.00210805702955, "max": 0.325354635715, "mean": 0.0815554261208, "median": 0.0725860744715, "min": 6.4230953889e-11, "stdev": 0.0529108792543, "var": 0.00279956124723 }, "spectral_kurtosis": { "dmean": 1.25472760201, "dmean2": 2.04220318794, "dvar": 2.09271478653, "dvar2": 5.52846240997, "max": 22.8669967651, "mean": 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I ran the command: ./essentia_streaming_extractor_music_svm /home/song1.json /home/song1-CLASSIFIED.out /home/luis/Documents/Mood/profile.conf

My profile.conf looks like this: highlevel: svm_models: [ /home/luis/Documents/Mood/svm_models/danceability.history, /home/luis/Documents/Mood/svm_models/gender.history, /home/luis/Documents/Mood/svm_models/genre_dortmund.history, /home/luis/Documents/Mood/svm_models/genre_electronic.history, /home/luis/Documents/Mood/svm_models/genre_rosamerica.history, /home/luis/Documents/Mood/svm_models/genre_tzanetakis.history, /home/luis/Documents/Mood/svm_models/ismir04_rhythm.history, /home/luis/Documents/Mood/svm_models/mood_acoustic.history, /home/luis/Documents/Mood/svm_models/mood_aggressive.history, /home/luis/Documents/Mood/svm_models/mood_electronic.history, /home/luis/Documents/Mood/svm_models/mood_happy.history, /home/luis/Documents/Mood/svm_models/mood_party.history, /home/luis/Documents/Mood/svm_models/mood_relaxed.history, /home/luis/Documents/Mood/svm_models/mood_sad.history, /home/luis/Documents/Mood/svm_models/moods_mirex.history, /home/luis/Documents/Mood/svm_models/timbre.history, /home/luis/Documents/Mood/svm_models/tonal_atonal.history, /home/luis/Documents/Mood/svm_models/voice_instrumental.history ]

I'll keep messing around with the metadata for now but I'm really lost, thanks for any help!

dbogdanov commented 7 years ago

There were changes in the layout of the descriptor names and therefore the prebuilt models are not compatible with the latest version. I suggest you to install Essentia 2.1 beta2 instead.

vamshichowdary commented 6 years ago

@dbogdanov Hi I built using the latest master branch and I face the same issue. When I want to compute high level params using /essentia/build/src/examples/essentia_streaming_extractor_music or essentia_streaming_extractor_music_svm, I get the above error.

After tinkering around I found that the static binary provided on the acousticBrainz website(link http://acousticbrainz.org/static/download/essentia-extractor-v2.1_beta2-linux-i686.tar.gz), computes the lowlevel parameters which I can use with essentia_streaming_extractor_music_svm just fine. I am guessing that this static binary generates older format low level descriptors and so is able to find them when calculating high level descriptors.

Is the new extractor (master branch) still expecting the older layout of descriptor pool?

dbogdanov commented 6 years ago

Correct, the newest extractor (master branch) will require us to re-train the model. We'll do that as soon as we release Essentia 2.1 final.