Repository: danz1ka19/Music-Emotion-Recognition Branch: master Commit: 32107793ce93 Files: 13 Total size: 81.9 KB Directory structure: gitextract_nu0kbpz2/ ├── Emotion_features.csv ├── Feature-Extraction.py ├── README.md └── SourceCode/ ├── Emotion-Recognition-RandomSeed.py ├── Emotion-Recognition.py ├── Feature-Extraction.py ├── HyperparamaterTuning.py ├── ScatterPlotDistribution.py ├── ScatterPlotNormalizedDistribution.py ├── SingleFeaturekNN.py ├── ViolinAndStripSubplot.py ├── ViolinStripAndMixPlot.py └── Visualization.py ================================================ FILE CONTENTS ================================================ ================================================ FILE: Emotion_features.csv ================================================ id,song_name,class,label,tempo,total_beats,average_beats,chroma_stft_mean,chroma_stft_std,chroma_stft_var,chroma_cq_mean,chroma_cq_std,chroma_cq_var,chroma_cens_mean,chroma_cens_std,chroma_cens_var,melspectrogram_mean,melspectrogram_std,melspectrogram_var,mfcc_mean,mfcc_std,mfcc_var,mfcc_delta_mean,mfcc_delta_std,mfcc_delta_var,rmse_mean,rmse_std,rmse_var,cent_mean,cent_std,cent_var,spec_bw_mean,spec_bw_std,spec_bw_var,contrast_mean,contrast_std,contrast_var,rolloff_mean,rolloff_std,rolloff_var,poly_mean,poly_std,poly_var,tonnetz_mean,tonnetz_std,tonnetz_var,zcr_mean,zcr_std,zcr_var,harm_mean,harm_std,harm_var,perc_mean,perc_std,perc_var,frame_mean,frame_std,frame_var 1,30 seconds to Mars - Night of the Hunter.mp3,relax,3,117.4538352,139925,1283.715596,0.422269364,0.293325614,0.086039916,0.527779494,0.263042667,0.069191445,0.261495642,0.117303546,0.013760122,8.27174432,42.23890769,1784.125323,-0.669535765,36.23852434,1313.230646,0.012002837,2.737308806,7.492859498,4.831246853,2.73298049,7.469182968,2749.820569,982.5022573,965310.6856,2500.560413,584.3546489,341470.3556,18.90063587,8.135854586,66.19212985,5676.132344,1775.02147,3150701.22,2.694325741,3.498507562,12.23955516,0.001847167,0.055645316,0.003096401,0.145777463,0.088269907,0.007791576,1.36E-06,0.131658405,0.017333934,0.000141969,0.095362484,0.009094004,4.221387755,1.601395952,2.564468994 2,Absolutely - Story of A Girl.mp3,sad,1,129.1992188,159877,1268.865079,0.425320782,0.289704251,0.083928553,0.488411633,0.275777219,0.076053074,0.259517351,0.126428153,0.015984078,10.80452964,52.99969193,2808.967345,2.324514489,23.12582986,534.8040068,0.012688937,2.348498004,5.515442877,6.097115994,1.973801136,3.895890951,3355.923318,825.28016,681087.3424,2839.385726,282.88856,80025.93736,20.00986003,6.837942054,46.75745153,6770.39656,1060.310894,1124259.193,3.068247328,3.49566783,12.21969358,0.007194285,0.071367416,0.005093308,0.174273512,0.092381368,0.008534317,-3.00E-06,0.169203728,0.028629901,5.56E-06,0.099144682,0.009829667,3.24614966,1.885734819,3.555995808 3,Ace - Futureland.mp3,happy,2,99.38401442,121594,1253.546392,0.487376803,0.268670374,0.07218377,0.44053569,0.303527672,0.092129048,0.238127465,0.163182854,0.026628644,16.9294511,91.41765116,8357.186944,7.213594738,25.7773076,664.4695872,0.00664681,1.732102757,3.00017996,7.45171833,2.472208023,6.111813068,2884.310298,1000.080209,1000160.423,2778.911699,549.9270779,302419.791,18.09058591,6.242264389,38.9658647,6208.412459,2138.990993,4575282.467,3.751397711,4.212932682,17.74880178,-0.019074338,0.083522546,0.006976016,0.136353862,0.078736655,0.006199461,1.87E-05,0.206915513,0.042814031,-7.70E-05,0.115424842,0.013322894,3.989188209,1.766115307,3.119163277 4,Alan Walker - Faded.mp3,sad,1,89.10290948,113611,1291.034091,0.292934478,0.29569479,0.087435409,0.406712844,0.288187825,0.083052223,0.226562938,0.178892617,0.032002568,9.843200113,75.09972899,5639.969295,2.453629006,45.42074375,2063.043963,0.005337784,2.206856993,4.870217787,5.226909637,2.562407494,6.565932274,1927.612816,1035.043044,1071314.103,2174.151882,835.8544316,698652.6308,21.74016032,5.647970149,31.8995668,4051.608834,2482.790129,6164246.825,2.098193939,2.550848768,6.506829439,-0.002768046,0.092026768,0.008468926,0.084333957,0.049829604,0.002482989,-2.03E-05,0.184177279,0.033921268,-3.26E-06,0.055471476,0.003077085,3.423782313,1.922332842,3.695363555 5,Alan Walker - Force [Instrumental].mp3,relax,3,198.7680288,252770,1404.277778,0.286669482,0.300048682,0.090029212,0.37287328,0.290104642,0.084160703,0.217227015,0.190120375,0.036145757,5.886977146,72.02582901,5187.720045,-0.764524421,45.97753844,2113.934041,0.009725682,2.007709816,4.030898707,3.845882177,2.61906004,6.859476089,2545.374828,1062.659044,1129244.244,2371.939368,908.3368211,825075.7805,21.94492058,6.550948614,42.91492774,5321.330323,2555.896372,6532606.266,1.512831214,1.997955863,3.99182763,-0.006246197,0.091778097,0.008423219,0.117507415,0.054558505,0.00297663,1.40E-05,0.147810981,0.021848086,0.000306882,0.048204396,0.002323664,9.637442177,7.344525154,53.94204973 6,All American Rejects - Stab my back.mp3,angry,4,135.9991776,173919,1288.288889,0.402927771,0.293648941,0.086229701,0.511188687,0.267794641,0.07171397,0.261786125,0.121660832,0.014801358,16.47518906,86.45292344,7474.107971,6.878092703,23.32246751,543.9374908,0.005724838,2.711800544,7.353862193,7.291646957,2.602593184,6.773491859,2794.75673,680.0011967,462401.6275,2697.979678,303.4514805,92082.80102,19.93235094,6.390375704,40.83690164,5915.443397,1193.495011,1424430.34,3.739061441,4.257751352,18.12844658,0.009007424,0.059399822,0.003528339,0.132281324,0.057834691,0.003344851,-2.44E-06,0.196422249,0.038581699,-0.000103147,0.135027885,0.018232528,2.917587302,1.705446393,2.908547399 7,Apparat - You Dont Know Me.mp3,relax,3,161.4990234,204713,1271.509317,0.291769794,0.303724422,0.092248524,0.439677776,0.283746334,0.080511982,0.237816404,0.163635849,0.026776691,6.974083403,66.83671905,4467.147014,-3.754776661,48.89451485,2390.673583,0.012782354,1.440528756,2.075123096,4.111234188,2.577727079,6.644677162,1722.14567,375.4770208,140982.9932,2280.988092,408.1874201,166616.9699,23.76722385,8.232435012,67.77298623,3775.777168,1272.897506,1620268.061,1.534552304,2.227213372,4.960479402,0.007724619,0.076847818,0.005905587,0.062141537,0.025718884,0.000661461,-1.92E-05,0.157182351,0.024706293,-1.63E-05,0.039745864,0.001579734,1.37229932,0.69298631,0.480230026 8,B.O.B - Soo Good.mp3,happy,2,86.1328125,108756,1279.482353,0.421205622,0.294016598,0.08644576,0.507742092,0.279095371,0.077894226,0.254880185,0.13553385,0.018369425,20.03077151,147.5136999,21760.29165,4.95562076,29.67170653,880.4101682,0.013385615,2.746273852,7.542020071,7.625406742,3.578936338,12.80878448,2708.439843,953.862517,909853.7014,2623.42318,734.9657335,540174.6295,19.42979135,6.589739629,43.42466838,5880.66444,2082.871221,4338352.525,3.594682842,4.352430408,18.94365045,-0.00407983,0.070444611,0.004962443,0.11792748,0.063363736,0.004014963,-2.28E-06,0.199292004,0.039717302,-0.00010311,0.165504798,0.027391838,5.263963719,2.912277593,8.481360778 9,Billy Talent - Fallen Leaves.mp3,happy,2,123.046875,106506,1054.514851,0.408958424,0.289546437,0.083837139,0.522171574,0.279307258,0.078012544,0.259815229,0.125814864,0.01582938,13.57571267,81.45232998,6634.482058,4.532875529,26.8421505,720.5010435,0.010696634,2.909786962,8.466860165,6.407421589,2.945688963,8.677083015,2862.122038,629.6575466,396468.626,2583.918199,409.17947,167427.8387,19.68229392,7.402166278,54.7920656,5834.710552,1155.844456,1335976.406,3.299955133,3.889061712,15.124801,0.016530577,0.066490072,0.00442093,0.146345676,0.058125786,0.003378607,-1.90E-05,0.177508309,0.031509198,-0.000155616,0.122583307,0.015026667,2.402104308,1.407299272,1.980491241 10,Billy Talent - Red Flag.mp3,happy,2,92.28515625,102169,1201.988235,0.472775697,0.291974877,0.085249329,0.575409757,0.277486308,0.076998651,0.266335384,0.111349883,0.012398796,16.15352587,109.9906259,12097.93778,6.342557104,22.41891883,502.6079216,0.010971336,2.849928707,8.122093634,7.119541168,2.820424318,7.95479393,3066.501669,790.8160532,625390.03,2778.984692,298.3711979,89025.37171,18.74509054,6.857769624,47.02900422,6338.161674,1135.978382,1290446.884,3.510186788,4.073010511,16.58941462,0.005264146,0.06428996,0.004133199,0.158338045,0.079177701,0.006269108,9.09E-06,0.163210422,0.02663764,0.000865846,0.161110818,0.025956694,1.733369615,1.053179817,1.109187727 11,Billy Talent - Viking Death March.mp3,angry,4,143.5546875,183008,1279.776224,0.466557562,0.282420875,0.079761551,0.584324635,0.247357228,0.061185598,0.268748724,0.10539192,0.011107457,17.10669841,93.67338601,8774.703246,6.364959232,26.87810473,722.4325138,0.013899837,2.4043216,5.780762356,7.347826958,2.754977942,7.589903355,2586.263822,584.5253864,341669.9274,2423.44088,399.0401254,159233.0217,19.00914569,7.564149979,57.21636491,5332.755254,1081.926165,1170564.226,3.989431764,4.433234437,19.65356757,0.004083563,0.050217035,0.002521751,0.13435633,0.05160216,0.002662783,-9.60E-06,0.182128429,0.033170767,-0.000246938,0.139302582,0.01940521,6.849886621,3.006898956,9.041441332 12,Black Eyed Peas - Lets Get It Started.mp3,happy,2,103.359375,129354,1306.606061,0.402474583,0.312443126,0.097620707,0.466007204,0.296977642,0.08819572,0.260350916,0.124702582,0.015550734,12.99421651,101.599269,10322.41146,0.792898904,41.49389062,1721.742959,0.011871489,3.554022516,12.63107604,5.909911633,3.422062159,11.7105093,2644.788328,1153.020189,1329455.556,2635.541868,503.5351806,253547.6781,19.97006123,6.920022783,47.88671532,5501.200068,2037.249226,4150384.408,2.604742209,3.678209832,13.52922757,-0.003095443,0.071901439,0.005169817,0.116087733,0.096375337,0.009288206,2.30E-06,0.14649725,0.021461442,-6.78E-05,0.144702166,0.020938715,4.447782313,2.376100069,5.64585154 13,Blue Stahli - Ultranumb.mp3,angry,4,123.046875,147270,1248.050847,0.535376136,0.263895309,0.069640734,0.554991266,0.262331103,0.068817608,0.265375858,0.113617724,0.012908987,10.95176986,71.0129774,5042.84296,3.435042903,31.84942408,1014.385814,0.013709524,2.150124998,4.623037509,5.561200142,3.0498631,9.301665306,2938.003397,690.8869368,477324.7595,2600.273189,502.5470182,252553.5055,17.93798924,7.466678433,55.75128682,5979.384677,1419.856955,2015993.771,2.958585796,3.678379398,13.530475,-0.006745901,0.057526558,0.003309305,0.146447716,0.065800428,0.004329696,0.000169703,0.166842565,0.02783644,0.001528302,0.095579937,0.009135525,2.813097506,1.338913305,1.792688838 14,Blue Stahli vs Celldweller - Frozen.mp3,relax,3,129.1992188,159858,1258.724409,0.413806951,0.315671369,0.099648413,0.576091406,0.265046685,0.070249745,0.272654286,0.094831291,0.008992974,2.695430781,22.19727107,492.7188431,-6.422768463,51.17730624,2619.116674,0.00982906,3.39416723,11.52037119,2.597597361,1.560394883,2.434832096,2041.541831,941.4555868,886338.6219,2102.412011,762.3423281,581165.8253,18.41992234,7.353510188,54.07411208,4276.482474,2096.566806,4395592.37,1.235656873,1.626491587,2.645474881,0.001037427,0.051274494,0.002629074,0.089129091,0.051724523,0.002675426,0.000409699,0.061693363,0.003806071,0.000708763,0.066476807,0.004419166,2.972154195,1.773205029,3.144256076 15,Bonnie Tyler - Total Eclipse of the Heart.mp3,sad,1,129.1992188,162877,1282.496063,0.271930177,0.302700028,0.091627307,0.421102029,0.282977046,0.080076008,0.23802667,0.163329843,0.026676638,2.321361634,22.96136834,527.224436,-9.634292097,58.87850751,3466.678646,0.011873367,2.576473109,6.638213679,2.272249937,1.917987227,3.678674936,2170.832467,611.3881309,373795.4466,1953.28201,406.1581802,164964.4673,23.70792469,6.938499402,48.14277395,3939.21368,1221.556987,1492201.472,0.998802059,1.576373648,2.484953877,-0.002788675,0.080037797,0.006406049,0.118865872,0.050058968,0.0025059,4.05E-06,0.083132863,0.006911073,-2.22E-05,0.044358771,0.001967701,4.288725624,2.341742499,5.483757933 16,Breaking Benjamin - Breath.mp3,happy,2,92.28515625,113335,1259.277778,0.396369489,0.284254401,0.080800565,0.455142365,0.278811698,0.077735963,0.242566925,0.156507572,0.02449462,14.01458824,73.58552948,5414.830149,5.870747545,31.29247474,979.2189753,0.005343709,2.13405156,4.554176062,6.657815456,2.263454914,5.123228073,2297.396476,706.1790814,498688.895,2435.428403,488.8099214,238935.1392,20.47385432,6.463104091,41.77171449,4924.782721,1564.307282,2447057.274,3.217956805,3.651106068,13.33057552,-0.006948982,0.078250439,0.006123131,0.098866749,0.044492392,0.001979573,2.30E-06,0.197886735,0.03915916,-3.08E-05,0.098269477,0.00965689,2.775945578,1.819598304,3.310937988 17,Breaking Benjamin - I Will Not Bow.mp3,angry,4,107.6660156,131015,1259.759615,0.454749297,0.276858766,0.076650777,0.519307059,0.279829394,0.07830449,0.256522975,0.132398251,0.017529297,22.7630754,130.2865158,16974.57619,6.011973516,30.30760478,918.5509072,0.012180728,2.02058726,4.082772874,8.239292145,3.566739082,12.72162819,2736.437967,700.7225646,491012.1125,2584.263729,446.1937209,199088.8366,19.83836196,6.974203171,48.63950988,5698.290543,1356.499374,1840090.551,3.932229778,4.604011199,21.19691912,0.013427586,0.074149712,0.00549818,0.126941976,0.0630339,0.003973273,6.51E-06,0.242872566,0.058987081,2.51E-05,0.129716977,0.016826494,6.032544218,2.300540956,5.292488691 18,Breaking Benjamin - Into the Nothing.mp3,angry,4,95.703125,117594,1264.451613,0.467404991,0.276425128,0.076410851,0.467367862,0.277421652,0.076962773,0.249772923,0.144730163,0.02094682,25.05559995,116.2035881,13503.2739,8.708448371,23.51670469,553.0353997,0.013760307,2.141404861,4.585614781,9.290811539,1.329018354,1.76628983,2576.623891,758.5768228,575438.7961,2630.615574,378.470166,143239.6666,19.63944687,7.326305717,53.67475546,5630.645119,1464.339782,2144290.997,4.380989291,4.554014299,20.73904624,0.000707387,0.073122949,0.005346966,0.107878221,0.055249994,0.003052562,8.38E-06,0.26386112,0.069622695,0.000203638,0.125312135,0.015703131,5.979138322,3.538811743,12.52318855 19,Breaking Benjamin - The Diary of Jane.mp3,sad,1,83.35433468,97869,1223.3625,0.448234046,0.290374201,0.084317177,0.496579418,0.28327459,0.080244493,0.247830579,0.148031543,0.021913338,3.136189496,16.41105926,269.3228661,0.100834315,40.2192699,1617.589671,0.012330392,2.012192377,4.048918163,3.206317663,1.156541944,1.337589145,2559.494232,886.7918066,786399.7083,2413.081282,649.974529,422466.8884,20.57333583,8.058157569,64.93390341,5248.909927,1843.138435,3397159.29,1.680687013,1.964607174,3.859681347,-0.028696992,0.074541635,0.005556455,0.131191384,0.061219679,0.003747849,-6.34E-07,0.088962898,0.007914397,3.73E-05,0.054132815,0.002930362,3.646693878,1.759200449,3.094786221 20,Buckcherry vs The Prodigy - Crazy Bitch vs Girls.mp3,happy,2,123.046875,138193,1191.318966,0.484846595,0.298187343,0.088915691,0.528964057,0.282039846,0.079546475,0.262262598,0.120630275,0.014551663,22.82086316,178.0462646,31700.47235,5.838676459,31.76448503,1008.98251,0.004356527,4.43373736,19.65802698,8.748059273,3.853826761,14.85198116,2611.001127,891.9444653,795564.9292,2558.014327,489.432179,239543.8579,18.53984543,6.834016124,46.70377639,5458.266995,1732.339606,3001000.511,4.057726691,4.863786848,23.65642251,0.007551954,0.052077383,0.002712054,0.108621792,0.071305098,0.005084417,0.069523379,0.194745436,0.037925787,0.009843239,0.186252549,0.034690011,2.142040816,1.142904826,1.306231441 21,Celldweller - Louder than Words.mp3,relax,3,129.1992188,163073,1274.007813,0.497176541,0.277366145,0.076931978,0.459451068,0.282600434,0.079863006,0.244975362,0.1527102,0.023320405,14.16715445,82.89102642,6870.92226,7.249865721,32.62323038,1064.27516,0.013239201,2.362641172,5.582073307,6.733174801,2.144689322,4.599691868,2222.871484,872.0314977,760438.933,2365.303478,595.8328373,355016.77,18.73737298,7.624103453,58.12695347,4788.258546,1821.102116,3316412.915,3.23242565,3.741318874,13.99746691,0.01230219,0.080442594,0.006471011,0.088543493,0.058361267,0.003406037,7.76E-05,0.188289493,0.035452932,0.000102256,0.10894613,0.011869259,4.06000907,2.704972985,7.316878851 22,Dangerkids - Cut Me Out.mp3,happy,2,135.9991776,175185,1269.456522,0.3958758,0.287968708,0.082925977,0.413221524,0.279513041,0.07812754,0.236254215,0.16588333,0.027517279,16.43499268,86.67369702,7512.329755,6.160606666,33.09131347,1095.035027,0.011221741,2.096554143,4.395539274,7.195658684,2.734534979,7.477682114,2433.756941,900.8447633,811521.2876,2370.158518,718.7005028,516530.4127,19.40367777,6.811914725,46.40218222,5082.994264,1952.464154,3812116.271,3.758330857,4.382051782,19.20237782,-0.008157792,0.086879214,0.007547998,0.110705113,0.052257411,0.002730837,5.05E-06,0.208215848,0.043353837,0.000171728,0.111212038,0.012368117,2.129269841,1.171310353,1.371967943 23,Data - One in A Million.mp3,happy,2,123.046875,153383,1369.491071,0.386756091,0.306088936,0.093690437,0.563429303,0.266463113,0.071002591,0.264697406,0.115189482,0.013268617,21.63702725,141.882844,20130.74142,2.7213725,29.09887687,846.7446352,0.011374116,2.613571113,6.830753964,8.071249962,3.845243692,14.78589821,2580.425996,878.7271091,772161.3323,2501.706637,385.0069165,148230.3257,19.56973134,6.529178752,42.63017518,5319.538667,1592.881162,2537270.395,4.031660511,4.928140297,24.28656678,0.003895271,0.061088764,0.003731837,0.131912657,0.084198664,0.007089415,-7.76E-05,0.201241747,0.040498242,9.13E-05,0.187978268,0.035335828,5.326657596,2.338082253,5.46662862 24,Demi Lovato - Heart Attack.mp3,sad,1,86.1328125,102981,1240.73494,0.328519301,0.313138987,0.098056025,0.465974507,0.298777519,0.089268006,0.252162857,0.140524826,0.019747227,3.165634164,25.71299902,661.1583187,-2.545148752,33.94254424,1152.09631,0.003179118,2.628647993,6.909790272,3.132388115,1.411688805,1.992865443,3169.081882,832.4739737,693012.9169,2819.827353,376.182783,141513.4862,20.32481925,6.407512786,41.0562201,6570.801934,1521.90087,2316182.257,1.372887568,1.641471213,2.694427743,-0.00104019,0.07577384,0.005741675,0.152663665,0.086358972,0.007457872,-2.49E-07,0.087481767,0.00765306,-9.92E-05,0.060471952,0.003656857,1.791419501,1.035939872,1.073171418 25,Escape The Fate - You're So Beautiful.mp3,happy,2,95.703125,122044,1341.142857,0.421849818,0.306647529,0.094032707,0.550773026,0.257694223,0.066406313,0.267766004,0.10786427,0.011634701,10.59940922,57.23674689,3276.045195,4.597677427,24.8762513,618.8278786,0.011206009,2.085952305,4.351197018,6.117223263,1.803445101,3.252414227,3068.835651,616.8225552,380470.0647,2657.643177,251.3394521,63171.52016,19.07042958,6.990074181,48.86113706,6186.387592,962.0405944,925522.1052,3.266151421,3.587866795,12.87278814,0.011968534,0.053901292,0.002905349,0.156901735,0.064431478,0.004151415,2.83E-06,0.155514091,0.024184631,1.07E-06,0.109294571,0.011945303,3.792979592,1.640983536,2.692826965 26,Evanescence - Bring me to Life.mp3,sad,1,95.703125,107784,1298.60241,0.340195852,0.302053439,0.09123628,0.493420379,0.278402829,0.077508135,0.247131189,0.149196208,0.022259509,6.033988021,37.68174366,1419.913805,4.168183867,46.89909685,2199.525285,-0.000221827,1.781880068,3.175096577,4.312673092,1.545769453,2.389403105,1705.036592,908.744262,825816.1337,1994.561724,613.618628,376527.8206,19.9782589,7.375417855,54.39678853,3353.075558,1862.625881,3469375.171,1.890227812,2.345068729,5.499347344,0.011950872,0.058401508,0.003410736,0.078947557,0.062552936,0.00391287,-7.39E-05,0.132372186,0.017522395,-0.00062404,0.05609706,0.00314688,11.03760544,5.605050202,31.41658777 27,Evans Blue- Cold But Im still here.mp3,sad,1,135.9991776,179373,1290.453237,0.433761231,0.279999101,0.078399497,0.479192749,0.280021093,0.078411813,0.250880037,0.142802452,0.02039254,3.142744341,14.34181315,205.6876045,1.069658741,43.62572604,1903.203973,0.008757593,2.286287253,5.227109403,3.181661844,1.008893371,1.017865777,1954.530726,697.8159715,486947.1301,2135.535296,622.1728452,387099.0493,23.03874562,13.71419195,188.0790609,4184.916361,1642.931228,2699223.019,1.711025023,1.93860204,3.758177871,-0.0135201,0.082926099,0.006876738,0.095124897,0.039668243,0.001573569,-0.001536076,0.084541276,0.007147227,-0.003169537,0.051830992,0.002686452,3.145142857,2.093591192,4.38312408 28,Florida - Right Round.mp3,happy,2,123.046875,127201,1156.372727,0.400897081,0.299637596,0.089782689,0.488034057,0.287805823,0.082832192,0.249344854,0.145466413,0.021160477,7.015688709,67.06943446,4498.309039,0.866641315,37.26856338,1388.945816,0.011124304,2.899072092,8.404618994,4.059482098,2.848655462,8.1148386,2700.535256,821.2123686,674389.7544,2657.727288,434.5367614,188822.197,19.64153164,7.640903884,58.38341216,5815.831499,1600.781178,2562500.381,1.926409324,2.747631781,7.549480405,0.007906402,0.069134937,0.00477964,0.12699224,0.067713724,0.004585148,4.52E-05,0.101845041,0.010372412,0.000129788,0.12085668,0.014606337,12.78606803,10.08795272,101.7667901 29,Globus - Take me away.mp3,sad,1,151.9990809,191920,1279.466667,0.288229975,0.309679581,0.095901443,0.379603551,0.293539461,0.086165415,0.215402843,0.192184674,0.036934949,1.067194318,10.70415438,114.5789209,-12.24285386,91.13048051,8304.764477,0.004661522,1.433142239,2.053896679,1.487624168,1.112414122,1.237465262,695.7151403,337.572982,113955.5182,1021.81088,485.4976063,235707.9258,24.37245403,6.548069022,42.87720792,1170.934586,1006.46382,1012969.421,0.456029814,0.663765386,0.440584487,0.005476558,0.08754497,0.007664122,0.031078043,0.0116779,0.000136373,-5.70E-06,0.06254603,0.003912006,-1.30E-06,0.011289089,0.000127444,2.01200907,1.155837822,1.33596107 30,Globus - Thousand Deaths.mp3,sad,1,135.9991776,178652,1258.112676,0.414298481,0.283215475,0.080211005,0.389382051,0.283668387,0.080467754,0.222889189,0.183449565,0.033653743,9.609018462,40.74106775,1659.834601,6.108056515,31.45654496,989.5142208,0.013958731,1.417640777,2.009705372,5.701161385,1.479744792,2.189644575,1989.337314,437.9278757,191780.8243,2089.410023,373.3703169,139405.3936,19.1103805,7.615343232,57.99345254,3987.117557,954.8532387,911744.7074,3.271087252,3.508646364,12.31059931,0.046769898,0.088471723,0.007827246,0.102124666,0.034928811,0.001220022,0.000143525,0.155091599,0.024053404,0.001162905,0.079369351,0.006299493,9.32861678,5.037220502,25.37359038 31,Imagine Dragons - Radioactive.mp3,happy,2,135.9991776,171634,1271.362963,0.365361971,0.297269026,0.088368874,0.488452639,0.268399763,0.072038433,0.253088905,0.138850061,0.01927934,15.97752145,139.1850681,19372.48319,0.941936879,40.01436931,1601.149752,0.013850195,2.368875103,5.611569253,6.028670788,4.282248974,18.33765602,1830.434792,743.156604,552281.7381,2063.199063,476.4348209,226990.1386,20.85932781,7.347844328,53.99081627,3765.685563,1575.051297,2480786.589,2.714162701,3.844959104,14.78371051,-0.001253918,0.067217617,0.004518208,0.081883103,0.050199679,0.002520008,7.33E-06,0.19862777,0.039452989,8.09E-05,0.10788808,0.011639838,4.203972789,2.251371587,5.068674023 32,Imagine Dragons - Warrior.mp3,angry,4,78.30255682,96895,1274.934211,0.349990664,0.285689661,0.081618582,0.506642854,0.26129877,0.068277047,0.257210757,0.131057087,0.01717596,8.244193189,45.07454532,2031.714636,1.908302944,37.44426431,1402.07293,0.005503734,1.767357853,3.123553782,4.815413475,2.383156538,5.679435253,1930.362907,546.0552709,298176.3588,2176.645657,427.6114919,182851.588,20.02704751,6.916516372,47.83819872,3936.630362,1333.65457,1778634.512,2.443521917,3.014163683,9.085182709,0.015831622,0.06479114,0.004197892,0.089114541,0.034039781,0.001158707,1.64E-06,0.149282426,0.022285243,-3.35E-05,0.067395568,0.004542162,2.363791383,1.199880906,1.439714188 33,K'naan - Waving Flag.mp3,happy,2,75.99954044,92219,1263.273973,0.333718314,0.310685262,0.096525332,0.526373964,0.288186018,0.083051181,0.256453838,0.132532118,0.017564762,7.665881763,58.61058842,3435.201075,0.657475056,36.21784053,1311.731972,0.01091064,2.760303387,7.61927479,4.516118526,2.565011024,6.57928133,2719.051263,832.9341011,693779.2168,2807.989342,417.317302,174153.7306,19.45091511,6.309187072,39.80584151,6133.112914,1616.907024,2614388.324,2.007062694,2.613242091,6.829034225,0.019607278,0.067454888,0.004550162,0.115158412,0.064214184,0.004123461,-6.42E-06,0.1091813,0.011920555,0.000117855,0.110110119,0.012124239,2.964027211,1.540749851,2.373910102 34,Katy Perry - Firework.mp3,happy,2,123.046875,149489,1245.741667,0.319271761,0.30490407,0.092966492,0.569835431,0.268900072,0.072307249,0.266542322,0.110853615,0.012288524,6.33452847,52.46348492,2752.41725,-1.78458196,29.99545366,899.7272405,0.011549971,2.631254261,6.923498987,4.338088989,2.197864294,4.830607414,2828.94605,806.4568169,650372.5975,2534.681964,346.703843,120203.5548,21.2542257,6.699803652,44.88736897,5649.520005,1382.805201,1912150.224,1.930650675,2.326983599,5.41485267,0.006470377,0.054561037,0.002976907,0.145506679,0.072876649,0.005311006,-3.64E-06,0.123941764,0.015361561,-2.05E-05,0.097580649,0.009521983,4.987646259,2.732255666,7.465221022 35,Katy Perry - I Kissed a Girl.mp3,happy,2,129.1992188,166941,1284.161538,0.424609873,0.296794544,0.088087002,0.490908643,0.282824218,0.079989538,0.252563492,0.139803491,0.019545016,1.153504436,8.226192745,67.67024708,0.07277011,44.70453179,1998.495162,-0.000554184,3.10420526,9.636090293,1.90388,0.702271402,0.493185133,2586.705161,959.9057074,921418.967,2606.904154,479.561531,229979.262,19.27737467,6.677743707,44.59226102,5426.754685,1876.585012,3521571.306,0.855481724,0.987174264,0.974513027,-0.000464537,0.07007857,0.004911006,0.109073792,0.063048166,0.003975071,-1.33E-06,0.053292528,0.002840093,2.33E-05,0.035375156,0.001251401,2.426485261,1.529056493,2.338013758 36,Kesha - Dancing With Tears In My Eyes.mp3,happy,2,117.4538352,153190,1287.310924,0.404095201,0.312037854,0.097367622,0.577615568,0.272759526,0.074397759,0.269704098,0.102922461,0.010593033,9.673783125,70.2800849,4939.290333,2.968818018,34.10427065,1163.101277,0.011664829,3.533767499,12.48751274,5.34232235,2.381651163,5.672262669,2586.532187,1009.867538,1019832.444,2561.445742,592.319355,350842.2183,19.65683227,7.477825911,55.91788036,5468.846097,1893.07787,3583743.822,2.417972435,2.938257429,8.633356722,0.007903469,0.054098024,0.002926596,0.11707091,0.083681721,0.00700263,-1.06E-05,0.127444252,0.016242037,-2.61E-05,0.13391684,0.017933721,5.310403628,2.329727607,5.427630722 37,Laura Jansen - Use Somebody.mp3,sad,1,129.1992188,152569,1250.565574,0.281130342,0.295547935,0.087348582,0.398251896,0.280725999,0.078807087,0.229530481,0.17506882,0.030649092,3.950106138,26.72243843,714.0887156,-7.668213253,65.72611657,4319.922399,0.008448898,2.532107626,6.41156903,3.215786219,1.818070412,3.305379868,1317.696272,934.5078528,873304.9269,1383.170278,807.8206468,652574.1975,24.80586969,5.856771171,34.30176855,2423.514512,1809.438438,3274067.462,1.181530762,1.59207335,2.534697551,-0.006783966,0.096021452,0.009220119,0.068756576,0.053719638,0.002885799,-1.93E-06,0.119287215,0.01422944,-4.08E-05,0.035870176,0.00128667,9.111510204,5.619955321,31.58389781 38,League of Legends - Burning Brighter.mp3,sad,1,151.9990809,196235,1344.075342,0.324089405,0.295542356,0.087345284,0.359859827,0.301359738,0.090817692,0.208220243,0.199944152,0.039977664,8.249232477,49.29405197,2429.903559,3.319539251,38.53048236,1484.598071,0.012989594,1.771574072,3.138474692,4.933689117,2.334563255,5.450185299,2212.502062,689.9593225,476043.8666,2425.560799,505.7492592,255782.3132,22.9208803,5.923006278,35.08200337,4675.367562,1626.425913,2645261.251,2.186471113,2.739766483,7.506320381,-0.020125905,0.103971676,0.010810109,0.095594849,0.038878603,0.001511546,-3.17E-05,0.167537481,0.028068809,-0.000231623,0.061699793,0.003806865,12.83831293,5.015746161,25.15770955 39,League of Legends - Get Jinxed.mp3,happy,2,89.10290948,109445,1257.988506,0.452530114,0.284025379,0.080670416,0.579252144,0.252445047,0.063728502,0.268786918,0.105294473,0.011086926,4.549776993,27.4669709,754.4344902,0.744114977,46.07069468,2122.508909,0.013679558,1.987664549,3.95081036,3.462542534,2.189370394,4.79334259,2727.59234,912.841228,833279.1075,2533.286186,362.2478199,131223.4831,19.03039829,7.429052799,55.19082549,5514.508321,1462.90677,2140096.217,1.966408862,2.61805056,6.854188736,0.002897829,0.05543358,0.003072882,0.136738402,0.079419146,0.006307401,1.29E-05,0.09932667,0.009865787,7.62E-05,0.068299763,0.004664857,2.449705215,1.419544668,2.015107065 40,Linkin Park - In the End.mp3,angry,4,103.359375,114020,1187.708333,0.392283811,0.290522472,0.084403307,0.512753815,0.2659971,0.070754457,0.257752831,0.129987736,0.016896812,3.010661633,17.40019048,302.7666289,-2.424366114,44.83900896,2010.536724,0.013677663,2.488881017,6.194528715,2.874552727,1.709442377,2.92219305,2232.005855,682.1114554,465276.0376,2143.177842,490.301717,240395.7737,20.14599599,7.283769336,53.05329574,4396.340083,1397.968996,1954317.313,1.602999383,2.125786632,4.518968803,-0.006133187,0.067674562,0.004579846,0.117040298,0.051461771,0.002648314,4.05E-07,0.078016989,0.00608665,5.24E-05,0.060906451,0.003709596,2.121142857,1.270160703,1.613308212 41,Linkin Park - Roads Untraveled.mp3,sad,1,99.38401442,124734,1272.795918,0.298325594,0.289053865,0.083552137,0.481603022,0.272188103,0.074086364,0.247894021,0.147925278,0.021881888,1.081165605,17.60949215,310.0942136,-8.400634075,47.73519719,2278.64905,0.000275448,3.317845269,11.00809723,1.753431559,1.183774471,1.401321888,3639.48644,1020.790592,1042013.433,2769.126829,313.9421788,98559.69166,22.84016437,8.611410023,74.15638258,7008.636786,1271.428472,1616530.359,0.700217137,1.002790473,1.005588732,0.011720811,0.08627112,0.007442706,0.291053607,0.134688175,0.018140904,-3.25E-05,0.058694497,0.003445044,-6.53E-05,0.035143379,0.001235057,1.926095238,1.015842498,1.03193598 42,Machinae Supremacy - Death from above.mp3,relax,3,99.38401442,122026,1271.104167,0.474093998,0.284134087,0.080732179,0.487018893,0.283986889,0.080648553,0.253747265,0.13764323,0.018945659,22.11286794,161.7201594,26153.40997,7.431293225,24.92652444,621.3316206,0.012522681,1.947079132,3.791117148,8.146737099,2.912524223,8.482796669,2258.78355,303.9983155,92414.97585,2481.360251,212.1562954,45010.29366,18.51735426,6.614681769,43.7540149,4966.319969,724.2450957,524530.9587,3.584976074,3.938301352,15.51021754,-0.006993686,0.071196245,0.005068905,0.077111779,0.030267295,0.000916109,-0.000689172,0.248119414,0.061563242,-0.005631799,0.114827216,0.013185289,1.989950113,1.031266651,1.063510906 43,Machinae Supremacy - Edge and Pearl.mp3,angry,4,123.046875,149078,1433.442308,0.422980605,0.306254246,0.093791663,0.500246482,0.279650431,0.078204364,0.246920246,0.149545061,0.022363725,13.47024773,100.5660779,10113.53602,5.567504793,56.59775283,3203.305626,0.013064685,1.542266813,2.378586922,5.861894131,3.677881002,13.52680874,1629.004255,990.4584443,981007.9299,1550.165576,860.8568074,741074.4428,21.41785613,7.300156228,53.29228096,3168.214176,1961.646888,3848058.512,2.781511369,4.105780732,16.85743542,-0.002884028,0.060380059,0.003645752,0.080054694,0.040728595,0.001658818,3.96E-07,0.206255674,0.042541403,-1.82E-05,0.074160367,0.00549976,2.92339229,1.844253577,3.401271257 44,Magic System - Magic in the Air.mp3,happy,2,129.1992188,162668,1280.850394,0.35159583,0.295835097,0.087518405,0.473733878,0.288565217,0.083269884,0.255017751,0.13527483,0.01829928,12.35239422,89.91046992,8083.892602,-1.617058777,34.84891623,1214.446963,0.013001072,2.419706467,5.854979387,5.881638527,3.426352739,11.73989296,3005.843303,595.1133473,354159.8962,2651.491055,294.72184,86860.96298,20.41536147,6.657935564,44.32810598,6064.892493,1087.293559,1182207.283,2.967544341,3.886427993,15.10432255,-0.006704283,0.079333349,0.00629378,0.147025377,0.064189879,0.004120341,1.14E-05,0.182228699,0.033207301,0.000204679,0.106646612,0.0113735,2.777106576,1.531538642,2.345610612 45,Miley Cyrus - Lets get Crazy.mp3,happy,2,123.046875,159253,1349.601695,0.405164263,0.303806267,0.092298248,0.496957256,0.279475626,0.078106626,0.255399621,0.125242311,0.015685636,4.930700428,34.03069389,1158.088126,1.4004277,45.2771528,2050.020566,0.013095444,2.877827481,8.28189101,3.726270437,1.870782256,3.499826193,2347.772477,900.1718801,810309.4137,2389.268734,674.0832192,454388.1864,19.64983974,8.874479652,78.75638909,5039.165362,1758.716899,3093085.13,1.677532321,2.156784205,4.651718109,0.007444439,0.065025353,0.004228297,0.096643218,0.06732779,0.004533031,-4.07E-06,0.111580588,0.012450228,-0.000156933,0.068321377,0.004667811,7.504689342,1.953757396,3.817167961 46,My Darkest Days - Can't Forget You.mp3,sad,1,161.4990234,192521,1617.823529,0.393048434,0.281240306,0.07909611,0.378933381,0.296526284,0.087927837,0.216558067,0.190881998,0.036435937,8.82812321,52.67126115,2774.261751,4.5621811,43.7035664,1910.001716,0.013436007,1.75952486,3.095927731,4.93493557,2.487243176,6.186378479,1894.498,836.456772,699659.9315,2170.375861,704.6087502,496473.4909,22.07275019,6.822237943,46.54293056,4162.312331,1937.239886,3752898.377,2.264424344,3.007900856,9.047467561,-0.021161244,0.105885988,0.011211842,0.078929984,0.045291714,0.002051339,8.39E-06,0.155775771,0.024266092,-2.58E-06,0.067858286,0.004604747,12.37855782,5.759039815,33.16653959 47,My Darkest Days - Without You.mp3,sad,1,53.83300781,60939,1218.78,0.302876619,0.294142774,0.086519971,0.449049509,0.279090156,0.077891315,0.237334008,0.164334725,0.027005902,3.76066382,23.33594711,544.5664277,-2.519093575,46.02045832,2117.882584,0.013154986,2.188790624,4.790804394,3.196904421,1.894014239,3.587290049,2346.960318,1002.21822,1004441.36,2242.792194,678.4665426,460316.8495,21.98228798,8.130868159,66.11101702,4789.025208,1946.327874,3788192.194,1.550427314,2.101311528,4.415510139,0.000417805,0.081786221,0.006688986,0.122651564,0.076188151,0.005804634,3.19E-05,0.108232871,0.011714354,-2.82E-05,0.048314329,0.002334274,9.582875283,4.32186361,18.67850506 48,One Direction - Best Song Ever.mp3,happy,2,117.4538352,139921,1238.238938,0.427366027,0.296932361,0.088168827,0.489105305,0.281639459,0.079320785,0.257372479,0.130739207,0.01709274,13.1010479,79.53107734,6325.192263,2.95615363,35.64644762,1270.669228,0.013053365,2.487371027,6.187014628,6.082351685,3.643235207,13.27316284,2809.648714,971.8242503,944442.3734,2562.195745,572.0641984,327257.4471,19.29714108,6.882053828,47.36266489,5764.298477,1928.074082,3717469.664,3.236965346,4.391036494,19.2812015,-0.011337214,0.073676882,0.005428283,0.146054483,0.075775601,0.005741942,3.14E-05,0.164838284,0.02717166,3.43E-05,0.133256808,0.017757379,1.604498866,0.729302514,0.531882157 49,One Direction - Live While you are Young.mp3,happy,2,123.046875,157294,1278.813008,0.434535951,0.287642669,0.082738305,0.550407009,0.26704318,0.07131206,0.269047488,0.104626874,0.010946783,10.18983695,67.46123224,4551.017855,2.658188308,38.95854824,1517.768481,0.012054859,3.455914524,11.9433452,5.442199707,3.003162384,9.018984795,2841.189465,749.283597,561425.9087,2616.465831,432.3480737,186924.8568,19.47702097,6.933777727,48.07727357,5930.297474,1428.857956,2041635.057,2.878150144,3.830235549,14.67070436,-0.006083079,0.053504672,0.00286275,0.140441895,0.065349607,0.004270571,-2.38E-06,0.143809974,0.02068131,-0.000156095,0.113732405,0.01293506,4.575492063,2.660985275,7.080842631 50,One Direction - What Makes You Beautiful.mp3,happy,2,123.046875,132280,1284.271845,0.43617543,0.294726051,0.086863445,0.555435686,0.267101533,0.071343229,0.269333931,0.10388728,0.010792567,12.87905681,92.24213506,8508.61148,2.882267828,36.94202628,1364.713306,0.012364478,3.531179086,12.46922574,5.916572094,3.71233058,13.78139782,2884.346751,911.0308955,829977.2926,2655.669441,477.4700006,227977.6014,19.35926151,7.421695705,55.08156713,6093.742319,1679.325354,2820133.646,3.038892807,4.159411832,17.30070679,0.00750701,0.059385017,0.00352658,0.143278612,0.075752293,0.00573841,4.64E-06,0.17067489,0.029129917,4.80E-05,0.120935574,0.014625413,7.668390023,1.669220427,2.786296834 51,One Republic - All The Right Moves.mp3,happy,2,95.703125,120349,1266.831579,0.39231577,0.294440807,0.086695389,0.475705297,0.276610028,0.076513107,0.250507889,0.143454282,0.020579131,13.29545282,70.47615548,4966.888491,3.161842897,36.69732736,1346.693835,0.01307085,2.669300447,7.125164877,6.134161472,2.832911253,8.025385857,2095.777474,767.3214571,588782.2185,2314.282848,626.8083481,392888.7052,19.82196678,6.745833876,45.50627468,4579.355643,1782.595004,3177644.95,3.044778947,3.804292437,14.47264095,0.014226101,0.067596102,0.004569233,0.091014,0.0440178,0.001937567,-1.80E-05,0.170286641,0.02899754,1.36E-05,0.11313235,0.012798929,7.718312925,2.248339181,5.055029072 52,Or4nges - CrowMachi.mp3,relax,3,117.4538352,146814,1299.238938,0.384424402,0.309917105,0.096048612,0.456862183,0.293145891,0.085934514,0.261160536,0.122998,0.015128508,5.13445291,53.2950818,2840.365744,-13.27203965,56.66379334,3210.785476,0.012098868,2.862852847,8.195926424,3.528975725,2.587898493,6.697218895,2360.662846,1002.569254,1005145.109,1906.859101,882.7454921,779239.6038,20.94585508,8.35763291,69.85002785,4402.640045,2373.214248,5632145.869,1.593333927,2.219539354,4.926354943,0.007833285,0.088295963,0.007796177,0.121449568,0.048624319,0.002364324,7.55E-06,0.107253499,0.011503313,2.61E-05,0.087400079,0.007638774,1.789097506,0.987120528,0.974406937 53,Paul Oakenfold - Jump.mp3,happy,2,123.046875,94420,993.8947368,0.472651775,0.256635785,0.065861926,0.387447739,0.267733142,0.071681036,0.234277307,0.168663798,0.028447477,28.52972174,125.341099,15710.39109,10.75737189,23.79599036,566.2491573,0.01368725,1.813475596,3.288693736,9.902039528,2.051474094,4.208546162,2617.439851,481.0017456,231362.6792,2747.401427,268.2809269,71974.65572,17.47676179,6.387220927,40.79659116,5902.160144,941.4170323,886266.0288,5.549079033,5.839680431,34.10186754,0.041546111,0.091430281,0.008359496,0.115567895,0.040717391,0.001657906,6.13E-05,0.244270161,0.059667911,0.001238371,0.151657701,0.02300006,2.680743764,1.118890445,1.251915828 54,Pokemon - Master Quest.mp3,happy,2,151.9990809,105406,949.6036036,0.446547186,0.280551514,0.078709152,0.531885741,0.258466339,0.066804848,0.265974687,0.11220873,0.012590799,7.032434533,27.38431742,749.9008404,2.401471867,30.20031419,912.0589773,-1.62E-18,2.035389232,4.142809325,5.762974262,2.089851618,4.367479324,3557.563607,759.2985749,576534.3259,2684.863035,351.9268832,123852.5311,19.07525808,6.599944577,43.55926842,6668.594563,1255.145344,1575389.836,3.254173101,3.675002069,13.50564021,0.006986982,0.05901747,0.003483062,0.238643133,0.075724306,0.005734171,-0.000132158,0.135042235,0.018236406,-0.00127452,0.119754747,0.014341199,2.953578231,1.495040542,2.235146221 55,Rise Against - Hero Of War.mp3,sad,1,151.9990809,196151,1282.03268,0.319922034,0.300488206,0.090293162,0.428341622,0.290743331,0.084531684,0.235509823,0.166938481,0.027868456,5.722351945,30.12685354,907.6273041,-3.197131131,46.59636978,2171.221677,0.008435165,3.45244784,11.91939609,4.187962055,1.685546875,2.841068268,1985.919642,993.2271416,986500.1548,2240.643917,647.6105107,419399.3735,24.98476635,6.237055311,38.90085896,4083.850306,2101.258001,4415285.185,1.684955486,2.105500214,4.43313115,0.021398733,0.098066749,0.009617087,0.086985302,0.062888118,0.003954915,1.11E-05,0.133877143,0.017923091,-2.28E-05,0.061105367,0.003733866,4.035628118,2.288015202,5.235013564 56,Shakaponk - I'm Picky.mp3,angry,4,117.4538352,110503,1139.206186,0.350081544,0.304619075,0.092792781,0.560780191,0.265961147,0.070735332,0.270397407,0.10108697,0.010218575,1.239403164,6.940108685,48.16510857,-5.868864023,56.54183653,3196.979278,0.013690035,3.986155773,15.88943785,1.826951385,0.991128683,0.982336104,1988.323018,769.5285005,592174.113,2162.269107,548.7230091,301096.9407,20.34643813,6.968547998,48.5606612,4113.304294,1798.798489,3235676.005,0.878607108,1.174057204,1.378410319,0.001158114,0.055254166,0.003053023,0.092890028,0.052983432,0.002807244,-5.46E-06,0.048540246,0.002356155,-2.60E-05,0.042020932,0.001765759,5.358004535,1.932646289,3.735121678 57,Simple Plan - How Could This Happen To Me.mp3,sad,1,92.28515625,117306,1275.065217,0.270525811,0.289634059,0.083887888,0.431927315,0.269526935,0.072644768,0.237570507,0.163992645,0.026893588,4.118783334,24.93919892,621.9636426,-3.846752485,46.89472303,2199.115048,0.009680363,2.050427687,4.204253701,3.549631596,1.380890965,1.906859994,1617.68338,550.5014982,303051.8995,1789.72623,429.2865292,184286.9242,22.98434091,7.325086572,53.65689329,3097.885434,1175.718086,1382313.017,1.524289773,1.746125469,3.048954153,-0.024032963,0.083720423,0.007009109,0.076536007,0.035777353,0.001280019,-3.82E-06,0.120497949,0.014519756,-3.08E-05,0.038667526,0.001495178,5.782929705,3.386759737,11.47014151 58,Spooky Scary Skeleton (Remix).mp3,relax,3,129.1992188,156694,1273.934959,0.508662312,0.29679388,0.088086607,0.527496171,0.294912518,0.086973393,0.26294544,0.119134499,0.014193029,25.66208824,232.5785152,54092.76576,4.115012539,29.20754027,853.0804085,0.008671213,3.789491461,14.36024553,8.592530251,3.959408045,15.67691231,2898.494336,1186.81112,1408520.634,2560.452804,548.6389457,301004.6927,19.36479835,7.264832301,52.77778836,5831.098073,1850.582976,3424657.351,3.231671621,3.834197131,14.70106764,0.003740571,0.060717876,0.00368666,0.1438695,0.119667531,0.014320318,2.98E-05,0.215622365,0.046493005,0.000414458,0.195752844,0.038319174,1.912163265,0.991148735,0.982375815 59,Stemm - Face The 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Day.mp3,sad,1,75.99954044,95634,1275.12,0.34864247,0.289630099,0.083885594,0.433863445,0.277158072,0.076816597,0.240750149,0.1592881,0.025372699,7.462660592,40.34433027,1627.664985,-2.357211371,45.30043597,2052.129499,0.011752454,2.373378112,5.632923664,4.405441284,2.891358852,8.359955788,1983.846749,836.6255306,699942.2785,2010.810819,612.2485286,374848.2608,24.62025512,6.364113652,40.50194257,4063.196264,1642.414746,2697526.197,2.109520325,3.199344696,10.23580648,0.011056715,0.089448063,0.008000956,0.107551315,0.049845251,0.002484549,-4.05E-06,0.152906761,0.023380477,1.70E-05,0.068197735,0.004650931,2.655201814,1.583769004,2.508324259 61,Taylor Swift - Love Story.mp3,sad,1,117.4538352,152141,1289.330508,0.301311051,0.298763187,0.089259442,0.43087856,0.295626454,0.087395001,0.234013528,0.16902959,0.028571002,3.674599711,29.10227793,846.9425808,-5.143686607,55.68608552,3100.94012,0.01389207,2.668250004,7.119558084,2.93693614,2.00253582,4.010149479,1881.766381,962.0005123,925444.9856,2188.217655,730.3799954,533454.9377,22.69258187,5.617044415,31.55118796,3941.93033,1879.85833,3533867.34,1.058953722,1.51801574,2.304371786,-0.006170883,0.089460652,0.008003208,0.075154118,0.061471438,0.003778738,4.66E-05,0.10853871,0.011780651,-0.000195898,0.041570403,0.001728098,2.838639456,1.454427137,2.115358298 62,Tekken 5 - Poolside.mp3,relax,3,95.703125,118697,1276.311828,0.500476054,0.280250627,0.078540414,0.547013471,0.26184079,0.068560599,0.260155574,0.125109594,0.01565241,1.740055392,11.74896005,138.0380623,2.905994912,35.33066561,1248.255933,0.013513441,1.621615401,2.629636507,2.364928722,0.60954833,0.371549159,2884.18944,421.0599906,177291.5157,2940.945437,219.9756549,48389.28874,18.83286341,6.684104407,44.67725172,6598.022603,837.8401527,701976.1214,1.00771308,1.056546576,1.116290667,0.000322874,0.047801087,0.002284944,0.094821989,0.03369975,0.001135673,-7.43E-06,0.069413662,0.004818256,-0.00016171,0.030544639,0.000932975,4.368834467,2.059942085,4.243361393 63,The Fat Rat - Unity.mp3,relax,3,103.359375,132082,1282.349515,0.361239654,0.296379258,0.087840665,0.412078513,0.293714112,0.08626798,0.235266601,0.16728108,0.02798296,13.09603456,154.067537,23736.80596,1.657267574,28.29517191,800.6167532,0.006176826,3.217252972,10.35071668,5.825383186,3.67489624,13.50486279,2954.191448,787.1814175,619654.584,2753.858068,219.9833827,48392.68866,21.5562148,7.366462989,54.26477697,6257.024665,1054.981532,1112986.034,2.427223046,3.103138836,9.629470639,0.006947026,0.083542123,0.006979286,0.145542771,0.082924671,0.006876501,2.50E-05,0.19787246,0.039153509,0.000162774,0.101857424,0.010374935,1.496526077,0.891823867,0.795349811 64,Three Days Grace - Animal I have Become.mp3,angry,4,123.046875,130253,1173.45045,0.457370252,0.277751404,0.077145842,0.447804324,0.287201964,0.082484968,0.248450557,0.146988619,0.021605654,5.167413858,26.76395342,716.3092029,5.521107628,39.2905115,1543.744294,0.012995916,3.082600362,9.502424993,4.124792099,1.211073518,1.466699004,2286.024572,950.5382291,903522.925,2305.758833,636.2765269,404847.8186,19.586825,7.570719957,57.31580067,4844.529039,1904.090402,3625560.257,2.032851638,2.304631267,5.311325278,0.018771639,0.075586262,0.005713283,0.10460292,0.060832177,0.003700554,1.98E-07,0.109219007,0.011928792,-0.000369615,0.067188658,0.004514316,2.491501134,1.419537072,2.015085498 65,Three Days Grace - Gone Forever.mp3,sad,1,151.9990809,191720,1261.315789,0.341778424,0.296622791,0.08798508,0.453216405,0.291850927,0.085176964,0.240813725,0.15919197,0.025342083,12.91739429,70.51776555,4972.755259,2.13751191,31.64462943,1001.382572,0.013240036,2.473299237,6.117209113,6.296798229,2.67741251,7.16853714,2650.423046,883.0137856,779713.3455,2628.304155,459.3094783,210965.1969,21.29020142,7.122901447,50.73572503,5667.469896,1641.73021,2695278.082,3.02198835,3.80929194,14.51070508,-0.002487458,0.084260697,0.007099865,0.120346967,0.067657955,0.004577599,1.19E-05,0.182948813,0.033470269,7.75E-05,0.109429114,0.011974731,3.984544218,2.346334768,5.505286844 66,Three Days Grace - I Hate Everything About You.mp3,angry,4,89.10290948,113152,1285.818182,0.359532167,0.298315373,0.088992062,0.480430188,0.275714595,0.076018538,0.252341646,0.13904866,0.01933453,9.583000603,56.74306174,3219.775056,-0.347878265,39.12436742,1530.716126,0.013000477,2.520549315,6.353168851,4.965517998,2.885135889,8.324008942,2155.031704,714.0394992,509852.4065,2195.807127,541.8686834,293621.67,20.91573395,6.76867607,45.81497575,4357.615317,1408.632453,1984245.389,2.348113724,3.036205477,9.218543699,-0.019382843,0.071776631,0.005151885,0.098622231,0.048965794,0.002397649,3.55E-06,0.158572525,0.025145246,5.08E-05,0.078693889,0.006192728,4.071619048,1.648065214,2.716118949 67,Three Days Grace - Let it Die.mp3,angry,4,99.38401442,123670,1274.948454,0.389042501,0.287041651,0.08239291,0.448754688,0.285501512,0.081511113,0.241731086,0.157795485,0.024899415,16.92050826,81.816453,6693.931982,5.165342101,24.38895281,594.821019,0.011858547,1.898832728,3.60556573,7.461583138,2.389023781,5.707434654,2828.938283,753.1519836,567237.9103,2754.292906,361.9811066,131030.3215,20.20208177,6.833221344,46.69291394,6087.254858,1376.481268,1894700.68,3.765684715,4.223021709,17.83391235,0.008504836,0.081558868,0.006651849,0.135055873,0.066611145,0.004437045,-4.08E-06,0.206723243,0.0427345,-4.98E-05,0.119062327,0.014175837,4.373478458,3.221531479,10.37826507 68,Three Days Grace - Over and Over.mp3,sad,1,135.9991776,156990,1207.615385,0.358138283,0.284385959,0.080875374,0.403314012,0.291271396,0.084839026,0.225661001,0.180029014,0.032410446,14.31468801,64.29257085,4133.534666,5.791951103,33.7440498,1138.660897,0.013211075,1.795472766,3.223722454,6.770902157,2.408128977,5.79908514,2325.336067,829.6420852,688305.9896,2408.909097,713.6214029,509255.5067,21.37460772,6.682280728,44.65287572,5108.806608,1850.993839,3426178.191,3.380720917,3.890848515,15.13870217,-0.014691733,0.094997521,0.009024529,0.110540904,0.046147704,0.002129611,2.17E-06,0.201881245,0.040756039,-4.11E-05,0.098803937,0.009762218,2.245369615,1.244123783,1.547843988 69,Three Days Grace - Riot.mp3,angry,4,129.1992188,167751,1290.392308,0.453365449,0.285361155,0.081430989,0.470183233,0.280472738,0.078664957,0.250879255,0.142803826,0.020392933,16.82181334,78.72920585,6198.287854,7.917290778,24.23522618,587.3461882,0.013252582,1.949989179,3.802457798,7.561780453,2.166385174,4.693224907,2845.595211,653.2217581,426698.6652,2703.709743,394.0139635,155247.0034,18.09022595,7.335753931,53.81328574,6078.946575,1254.802078,1574528.254,4.250819644,4.602592534,21.18385803,0.024909688,0.077593465,0.006020746,0.144742889,0.054636414,0.002985138,2.36E-06,0.179258555,0.032133631,-0.000258519,0.139427707,0.019440087,1.991111111,0.994938478,0.989902576 70,Three Grace - Home.mp3,sad,1,83.35433468,103925,1267.378049,0.469550774,0.277796901,0.077171118,0.441880217,0.289791682,0.083979219,0.242389796,0.15678176,0.02458052,7.639213657,50.69834188,2570.321869,6.192285993,25.86490989,668.9935638,0.012713479,2.149671137,4.621085996,4.999515533,1.386308789,1.921852112,2614.584772,645.9061323,417194.7317,2561.569515,346.6198824,120145.3429,20.40218611,7.682333883,59.01825389,5497.566757,1169.016803,1366600.286,2.313136678,2.495507707,6.227558718,0.018352358,0.083924054,0.007043247,0.107556606,0.048689647,0.002370682,-2.57E-06,0.154829338,0.023972124,-2.63E-06,0.060455248,0.003654837,3.795301587,2.15988612,4.665108052 71,VAST - Touched ( Cover ).mp3,sad,1,151.9990809,137586,1083.354331,0.311471745,0.30520832,0.093152119,0.351681663,0.295965828,0.087595772,0.219265055,0.187766261,0.035256169,0.171654417,1.323896213,1.752701184,-11.50778513,75.32365406,5673.652861,0.008198219,3.042563246,9.257191107,0.709378898,0.302621216,0.091579594,2344.698909,1094.847828,1198691.767,2612.313114,650.9404993,423723.5336,21.97035588,5.530943425,30.59133517,5154.243833,2401.86177,5768939.962,0.238910832,0.303094723,0.091866411,-0.013508287,0.110898603,0.0122985,0.074836282,0.066042419,0.004361601,-1.05E-06,0.025879189,0.000669732,1.13E-06,0.006502948,4.23E-05,1.832054422,1.002470281,1.004946664 72,Voicians - Loner.mp3,sad,1,172.265625,220316,1280.906977,0.500812199,0.266357649,0.070946397,0.542837788,0.261228329,0.06824024,0.270599884,0.100543703,0.010109036,18.83754964,89.10089368,7938.969255,6.179920571,25.08204243,629.1088526,0.01321851,1.631252247,2.660983895,7.996220589,2.41861105,5.849678993,2718.559883,483.7485004,234012.6116,2510.233383,403.0306884,162433.7358,18.47998372,6.889697972,47.46793814,5591.070358,1114.861498,1242916.161,4.612835166,4.944872405,24.4517631,-0.002304568,0.056423337,0.003183593,0.134021865,0.040028773,0.001602303,0.000263716,0.21729368,0.047216546,0.001940815,0.11817994,0.013966499,2.652879819,1.126104961,1.268112384 73,Waysons - Eternal Minds.mp3,relax,3,129.1992188,161819,1274.165354,0.351867542,0.289378758,0.083740065,0.313733958,0.311752968,0.097189913,0.190627286,0.216782313,0.046994571,14.234461,77.17092086,5955.351026,4.309867391,31.62715751,1000.277092,0.00662311,1.537609042,2.364241565,6.816382885,2.192842722,4.808559418,2296.500372,787.8740469,620745.5138,2405.417641,546.2383025,298376.2831,21.22877315,6.584894818,43.36083976,4821.425012,1826.28827,3335328.845,3.092973793,3.516592525,12.36642298,-0.028111703,0.124325209,0.015456758,0.098219739,0.047591027,0.002264906,3.14E-08,0.228647158,0.052279521,-0.000112067,0.066621438,0.004438416,3.43539229,2.246168784,5.045274205 74,You Are Not.mp3,angry,4,135.9991776,173553,1345.372093,0.355462316,0.285731936,0.081642739,0.53462494,0.251478868,0.063241621,0.262925405,0.119178709,0.014203565,10.42259281,54.27696853,2945.989312,2.928118091,45.29371491,2051.52061,0.012247643,1.526604782,2.33052216,5.492152214,2.608858824,6.806144714,1745.214664,700.0754685,490105.6615,1857.713276,521.2324515,271683.2685,21.10040274,7.120922491,50.70753713,3556.778493,1400.086823,1960243.111,2.94442841,3.708095627,13.74997318,-0.005259107,0.065379961,0.004274539,0.087514777,0.044615966,0.001990584,5.49E-06,0.163635641,0.026776621,-3.69E-07,0.081931576,0.006712784,4.022857143,2.044145797,4.178532038 75,You Blocked Me On Facebook Now You're Going To Die.mp3,angry,4,129.1992188,154584,1246.645161,0.509162746,0.289091204,0.083573724,0.537313038,0.286280175,0.081956339,0.258745945,0.127999489,0.016383869,25.33818911,192.0075562,36866.90163,7.384388596,22.34578119,499.3339372,0.007296479,3.023936107,9.144189578,9.175350189,3.303755045,10.91479683,3228.688312,718.0598856,515609.9994,2793.571303,278.4994332,77561.93431,20.94360279,14.17505629,200.9322208,6588.955991,1108.622534,1229043.924,4.414053032,4.947089888,24.47369836,-0.014738246,0.066149936,0.004375814,0.131870518,0.077565147,0.006016352,7.32E-05,0.24151288,0.058328472,0.000708924,0.194600791,0.037869468,4.066975057,2.237387826,5.005904283 ================================================ FILE: Feature-Extraction.py ================================================ import librosa import numpy as np import pandas as pd from os import listdir from os.path import isfile, join ''' function: extract_features input: path to mp3 files output: csv file containing features extracted This function reads the content in a directory and for each mp3 file detected reads the file and extracts relevant features using librosa library for audio signal processing ''' def extract_feature(path): id = 1 # Song ID feature_set = pd.DataFrame() # Feature Matrix # Individual Feature Vectors songname_vector = pd.Series() tempo_vector = pd.Series() total_beats = pd.Series() average_beats = pd.Series() chroma_stft_mean = pd.Series() chroma_stft_std = pd.Series() chroma_stft_var = pd.Series() chroma_cq_mean = pd.Series() chroma_cq_std = pd.Series() chroma_cq_var = pd.Series() chroma_cens_mean = pd.Series() chroma_cens_std = pd.Series() chroma_cens_var = pd.Series() mel_mean = pd.Series() mel_std = pd.Series() mel_var = pd.Series() mfcc_mean = pd.Series() mfcc_std = pd.Series() mfcc_var = pd.Series() mfcc_delta_mean = pd.Series() mfcc_delta_std = pd.Series() mfcc_delta_var = pd.Series() rmse_mean = pd.Series() rmse_std = pd.Series() rmse_var = pd.Series() cent_mean = pd.Series() cent_std = pd.Series() cent_var = pd.Series() spec_bw_mean = pd.Series() spec_bw_std = pd.Series() spec_bw_var = pd.Series() contrast_mean = pd.Series() contrast_std = pd.Series() contrast_var = pd.Series() rolloff_mean = pd.Series() rolloff_std = pd.Series() rolloff_var = pd.Series() poly_mean = pd.Series() poly_std = pd.Series() poly_var = pd.Series() tonnetz_mean = pd.Series() tonnetz_std = pd.Series() tonnetz_var = pd.Series() zcr_mean = pd.Series() zcr_std = pd.Series() zcr_var = pd.Series() harm_mean = pd.Series() harm_std = pd.Series() harm_var = pd.Series() perc_mean = pd.Series() perc_std = pd.Series() perc_var = pd.Series() frame_mean = pd.Series() frame_std = pd.Series() frame_var = pd.Series() # Traversing over each file in path file_data = [f for f in listdir(path) if isfile (join(path, f))] for line in file_data: if ( line[-1:] == '\n' ): line = line[:-1] # Reading Song songname = path + line y, sr = librosa.load(songname, duration=60) S = np.abs(librosa.stft(y)) # Extracting Features tempo, beats = librosa.beat.beat_track(y=y, sr=sr) chroma_stft = librosa.feature.chroma_stft(y=y, sr=sr) chroma_cq = librosa.feature.chroma_cqt(y=y, sr=sr) chroma_cens = librosa.feature.chroma_cens(y=y, sr=sr) melspectrogram = librosa.feature.melspectrogram(y=y, sr=sr) rmse = librosa.feature.rmse(y=y) cent = librosa.feature.spectral_centroid(y=y, sr=sr) spec_bw = librosa.feature.spectral_bandwidth(y=y, sr=sr) contrast = librosa.feature.spectral_contrast(S=S, sr=sr) rolloff = librosa.feature.spectral_rolloff(y=y, sr=sr) poly_features = librosa.feature.poly_features(S=S, sr=sr) tonnetz = librosa.feature.tonnetz(y=y, sr=sr) zcr = librosa.feature.zero_crossing_rate(y) harmonic = librosa.effects.harmonic(y) percussive = librosa.effects.percussive(y) mfcc = librosa.feature.mfcc(y=y, sr=sr) mfcc_delta = librosa.feature.delta(mfcc) onset_frames = librosa.onset.onset_detect(y=y, sr=sr) frames_to_time = librosa.frames_to_time(onset_frames[:20], sr=sr) # Transforming Features songname_vector.set_value(id, line) # song name tempo_vector.set_value(id, tempo) # tempo total_beats.set_value(id, sum(beats)) # beats average_beats.set_value(id, np.average(beats)) chroma_stft_mean.set_value(id, np.mean(chroma_stft)) # chroma stft chroma_stft_std.set_value(id, np.std(chroma_stft)) chroma_stft_var.set_value(id, np.var(chroma_stft)) chroma_cq_mean.set_value(id, np.mean(chroma_cq)) # chroma cq chroma_cq_std.set_value(id, np.std(chroma_cq)) chroma_cq_var.set_value(id, np.var(chroma_cq)) chroma_cens_mean.set_value(id, np.mean(chroma_cens)) # chroma cens chroma_cens_std.set_value(id, np.std(chroma_cens)) chroma_cens_var.set_value(id, np.var(chroma_cens)) mel_mean.set_value(id, np.mean(melspectrogram)) # melspectrogram mel_std.set_value(id, np.std(melspectrogram)) mel_var.set_value(id, np.var(melspectrogram)) mfcc_mean.set_value(id, np.mean(mfcc)) # mfcc mfcc_std.set_value(id, np.std(mfcc)) mfcc_var.set_value(id, np.var(mfcc)) mfcc_delta_mean.set_value(id, np.mean(mfcc_delta)) # mfcc delta mfcc_delta_std.set_value(id, np.std(mfcc_delta)) mfcc_delta_var.set_value(id, np.var(mfcc_delta)) rmse_mean.set_value(id, np.mean(rmse)) # rmse rmse_std.set_value(id, np.std(rmse)) rmse_var.set_value(id, np.var(rmse)) cent_mean.set_value(id, np.mean(cent)) # cent cent_std.set_value(id, np.std(cent)) cent_var.set_value(id, np.var(cent)) spec_bw_mean.set_value(id, np.mean(spec_bw)) # spectral bandwidth spec_bw_std.set_value(id, np.std(spec_bw)) spec_bw_var.set_value(id, np.var(spec_bw)) contrast_mean.set_value(id, np.mean(contrast)) # contrast contrast_std.set_value(id, np.std(contrast)) contrast_var.set_value(id, np.var(contrast)) rolloff_mean.set_value(id, np.mean(rolloff)) # rolloff rolloff_std.set_value(id, np.std(rolloff)) rolloff_var.set_value(id, np.var(rolloff)) poly_mean.set_value(id, np.mean(poly_features)) # poly features poly_std.set_value(id, np.std(poly_features)) poly_var.set_value(id, np.var(poly_features)) tonnetz_mean.set_value(id, np.mean(tonnetz)) # tonnetz tonnetz_std.set_value(id, np.std(tonnetz)) tonnetz_var.set_value(id, np.var(tonnetz)) zcr_mean.set_value(id, np.mean(zcr)) # zero crossing rate zcr_std.set_value(id, np.std(zcr)) zcr_var.set_value(id, np.var(zcr)) harm_mean.set_value(id, np.mean(harmonic)) # harmonic harm_std.set_value(id, np.std(harmonic)) harm_var.set_value(id, np.var(harmonic)) perc_mean.set_value(id, np.mean(percussive)) # percussive perc_std.set_value(id, np.std(percussive)) perc_var.set_value(id, np.var(percussive)) frame_mean.set_value(id, np.mean(frames_to_time)) # frames frame_std.set_value(id, np.std(frames_to_time)) frame_var.set_value(id, np.var(frames_to_time)) print(songname) id = id+1 # Concatenating Features into one csv and json format feature_set['song_name'] = songname_vector # song name feature_set['tempo'] = tempo_vector # tempo feature_set['total_beats'] = total_beats # beats feature_set['average_beats'] = average_beats feature_set['chroma_stft_mean'] = chroma_stft_mean # chroma stft feature_set['chroma_stft_std'] = chroma_stft_std feature_set['chroma_stft_var'] = chroma_stft_var feature_set['chroma_cq_mean'] = chroma_cq_mean # chroma cq feature_set['chroma_cq_std'] = chroma_cq_std feature_set['chroma_cq_var'] = chroma_cq_var feature_set['chroma_cens_mean'] = chroma_cens_mean # chroma cens feature_set['chroma_cens_std'] = chroma_cens_std feature_set['chroma_cens_var'] = chroma_cens_var feature_set['melspectrogram_mean'] = mel_mean # melspectrogram feature_set['melspectrogram_std'] = mel_std feature_set['melspectrogram_var'] = mel_var feature_set['mfcc_mean'] = mfcc_mean # mfcc feature_set['mfcc_std'] = mfcc_std feature_set['mfcc_var'] = mfcc_var feature_set['mfcc_delta_mean'] = mfcc_delta_mean # mfcc delta feature_set['mfcc_delta_std'] = mfcc_delta_std feature_set['mfcc_delta_var'] = mfcc_delta_var feature_set['rmse_mean'] = rmse_mean # rmse feature_set['rmse_std'] = rmse_std feature_set['rmse_var'] = rmse_var feature_set['cent_mean'] = cent_mean # cent feature_set['cent_std'] = cent_std feature_set['cent_var'] = cent_var feature_set['spec_bw_mean'] = spec_bw_mean # spectral bandwidth feature_set['spec_bw_std'] = spec_bw_std feature_set['spec_bw_var'] = spec_bw_var feature_set['contrast_mean'] = contrast_mean # contrast feature_set['contrast_std'] = contrast_std feature_set['contrast_var'] = contrast_var feature_set['rolloff_mean'] = rolloff_mean # rolloff feature_set['rolloff_std'] = rolloff_std feature_set['rolloff_var'] = rolloff_var feature_set['poly_mean'] = poly_mean # poly features feature_set['poly_std'] = poly_std feature_set['poly_var'] = poly_var feature_set['tonnetz_mean'] = tonnetz_mean # tonnetz feature_set['tonnetz_std'] = tonnetz_std feature_set['tonnetz_var'] = tonnetz_var feature_set['zcr_mean'] = zcr_mean # zero crossing rate feature_set['zcr_std'] = zcr_std feature_set['zcr_var'] = zcr_var feature_set['harm_mean'] = harm_mean # harmonic feature_set['harm_std'] = harm_std feature_set['harm_var'] = harm_var feature_set['perc_mean'] = perc_mean # percussive feature_set['perc_std'] = perc_std feature_set['perc_var'] = perc_var feature_set['frame_mean'] = frame_mean # frames feature_set['frame_std'] = frame_std feature_set['frame_var'] = frame_var # Converting Dataframe into CSV Excel and JSON file feature_set.to_csv('Emotion_features.csv') feature_set.to_json('Emotion_features.json') # Extracting Feature Function Call extract_feature('Dataset/') ================================================ FILE: README.md ================================================ # Music Emotion Recognition A video explanation of the repo and research problem domain: https://youtu.be/5b5unjdikPo ### - Introduction The study of music and emotion seeks to understand the psychological relationship between human affect and music. It is a branch of music psychology with numerous areas of study, including the nature of emotional reactions to music, how characteristics of the listener may determine which emotions are felt, and which components of a musical composition or performance may elicit certain reactions. [1] ### - Approach There Exists 3 Approaches to solve this problem: - Thayers Emotional Model - Dataset Annotation by Music and Emotion Psychologist Experts - Classification based on Tags Generated by the Song Results can be improved by weighting - Music Lyrics - Music Genre ### - Visualizations - Plukchik Wheel of Emotion ![PlutchickWheelOfEmotion](https://upload.wikimedia.org/wikipedia/commons/thumb/c/ce/Plutchik-wheel.svg/250px-Plutchik-wheel.svg.png) - Basic Emotion Wheel ![BasicEmotionWheel](https://upload.wikimedia.org/wikipedia/commons/thumb/8/8d/Emotions_-_3.png/220px-Emotions_-_3.png) - 2D Grid Representation of Emotion Labels ![2DGrid](https://upload.wikimedia.org/wikipedia/en/thumb/6/62/Two_Dimensions_of_Emotion.gif.jpg/220px-Two_Dimensions_of_Emotion.gif.jpg) ### - Reference [1] Wikipedia: Music and Emotion - https://en.wikipedia.org/wiki/Music_and_emotion [2] Wikipedia: Emotion - https://en.wikipedia.org/wiki/Emotion ================================================ FILE: SourceCode/Emotion-Recognition-RandomSeed.py ================================================ """ @author: Danyal The following code classifies piece of music as one of the four emotions mentioned in the document """ import numpy as np import pandas as pd import matplotlib.pyplot as plt from sklearn.metrics import accuracy_score from sklearn.metrics import confusion_matrix from sklearn.neighbors import KNeighborsClassifier from sklearn.cross_validation import train_test_split from pandas.tools.plotting import scatter_matrix s data = pd.read_csv('Dataset/Emotion_data.csv') feature = data.ix[:, 'tempo':] labels = list(feature) color = ['red' if l==1 else 'green' if l==2 else 'blue' if l==3 else 'orange' for l in data['label']] plt.style.use('ggplot') array = np.array(data) result = [] xlabel = [] color = [] colors = ['red', 'green', 'blue'] index = 0 for random_seed in range(1, 11): features = array[:, 5:] labels = data.ix[:, 'class'].dropna() test_size = 0.30 train_d, test_d, train_l, test_l = train_test_split(features, labels, test_size=test_size, random_state=random_seed) for neighbors in range(1, 10): kNN = KNeighborsClassifier(n_neighbors=neighbors) kNN.fit(train_d, train_l) prediction = kNN.predict(test_d) xlabel.append(neighbors) result.append(accuracy_score(prediction, test_l)) color.append(colors[index]) index = (index+1)%3 plt.figure(figsize=(10, 10)) plt.xlabel('kNN Neighbors for k=1,2...10') plt.ylabel('Accuracy Score') plt.title('kNN Classifier Results') plt.ylim(0, 1) plt.scatter(xlabel, result, color=color) plt.savefig('10-folds kNN Result.png') plt.show() ================================================ FILE: SourceCode/Emotion-Recognition.py ================================================ """ @author: Danyal The following code classifies piece of music as one of the four emotions mentioned in the document """ import numpy as np import pandas as pd import matplotlib.pyplot as plt from sklearn.metrics import accuracy_score from sklearn.metrics import confusion_matrix from sklearn.neighbors import KNeighborsClassifier from sklearn.cross_validation import train_test_split data = pd.read_csv('Dataset/Emotion_data.csv') feature = data.ix[:, 'tempo':] featureName = list(feature) color = ['red' if l==1 else 'green' if l==2 else 'blue' if l==3 else 'orange' for l in data['label']] for name in featureName: feature[name] = (feature[name]-feature[name].min())/(feature[name].max()-feature[name].min()) plt.style.use('ggplot') array = np.array(data) features = feature.values labels = data.ix[:, 'class'].dropna() test_size = 0.20 random_seed = 7 train_d, test_d, train_l, test_l = train_test_split(features, labels, test_size=test_size, random_state=random_seed) result = [] xlabel = [i for i in range(1, 11)] for neighbors in range(1, 11): kNN = KNeighborsClassifier(n_neighbors=neighbors) kNN.fit(train_d, train_l) prediction = kNN.predict(test_d) result.append(accuracy_score(prediction, test_l)*100) plt.figure(figsize=(10, 10)) plt.xlabel('kNN Neighbors for k=1,2...20') plt.ylabel('Accuracy Score') plt.title('kNN Classifier Results') plt.ylim(0, 100) plt.xlim(0, xlabel[len(xlabel)-1]+1) plt.plot(xlabel, result) plt.savefig('1-fold 10NN Result.png') plt.show() ================================================ FILE: SourceCode/Feature-Extraction.py ================================================ import librosa import numpy as np import pandas as pd from os import listdir from os.path import isfile, join ''' function: extract_features input: path to mp3 files output: csv file containing features extracted This function reads the content in a directory and for each mp3 file detected reads the file and extracts relevant features using librosa library for audio signal processing ''' def extract_feature(path): id = 1 # Song ID feature_set = pd.DataFrame() # Feature Matrix # Individual Feature Vectors songname_vector = pd.Series() tempo_vector = pd.Series() total_beats = pd.Series() average_beats = pd.Series() chroma_stft_mean = pd.Series() chroma_stft_std = pd.Series() chroma_stft_var = pd.Series() chroma_cq_mean = pd.Series() chroma_cq_std = pd.Series() chroma_cq_var = pd.Series() chroma_cens_mean = pd.Series() chroma_cens_std = pd.Series() chroma_cens_var = pd.Series() mel_mean = pd.Series() mel_std = pd.Series() mel_var = pd.Series() mfcc_mean = pd.Series() mfcc_std = pd.Series() mfcc_var = pd.Series() mfcc_delta_mean = pd.Series() mfcc_delta_std = pd.Series() mfcc_delta_var = pd.Series() rmse_mean = pd.Series() rmse_std = pd.Series() rmse_var = pd.Series() cent_mean = pd.Series() cent_std = pd.Series() cent_var = pd.Series() spec_bw_mean = pd.Series() spec_bw_std = pd.Series() spec_bw_var = pd.Series() contrast_mean = pd.Series() contrast_std = pd.Series() contrast_var = pd.Series() rolloff_mean = pd.Series() rolloff_std = pd.Series() rolloff_var = pd.Series() poly_mean = pd.Series() poly_std = pd.Series() poly_var = pd.Series() tonnetz_mean = pd.Series() tonnetz_std = pd.Series() tonnetz_var = pd.Series() zcr_mean = pd.Series() zcr_std = pd.Series() zcr_var = pd.Series() harm_mean = pd.Series() harm_std = pd.Series() harm_var = pd.Series() perc_mean = pd.Series() perc_std = pd.Series() perc_var = pd.Series() frame_mean = pd.Series() frame_std = pd.Series() frame_var = pd.Series() # Traversing over each file in path file_data = [f for f in listdir(path) if isfile (join(path, f))] for line in file_data: if ( line[-1:] == '\n' ): line = line[:-1] # Reading Song songname = path + line y, sr = librosa.load(songname, duration=60) S = np.abs(librosa.stft(y)) # Extracting Features tempo, beats = librosa.beat.beat_track(y=y, sr=sr) chroma_stft = librosa.feature.chroma_stft(y=y, sr=sr) chroma_cq = librosa.feature.chroma_cqt(y=y, sr=sr) chroma_cens = librosa.feature.chroma_cens(y=y, sr=sr) melspectrogram = librosa.feature.melspectrogram(y=y, sr=sr) rmse = librosa.feature.rmse(y=y) cent = librosa.feature.spectral_centroid(y=y, sr=sr) spec_bw = librosa.feature.spectral_bandwidth(y=y, sr=sr) contrast = librosa.feature.spectral_contrast(S=S, sr=sr) rolloff = librosa.feature.spectral_rolloff(y=y, sr=sr) poly_features = librosa.feature.poly_features(S=S, sr=sr) tonnetz = librosa.feature.tonnetz(y=y, sr=sr) zcr = librosa.feature.zero_crossing_rate(y) harmonic = librosa.effects.harmonic(y) percussive = librosa.effects.percussive(y) mfcc = librosa.feature.mfcc(y=y, sr=sr) mfcc_delta = librosa.feature.delta(mfcc) onset_frames = librosa.onset.onset_detect(y=y, sr=sr) frames_to_time = librosa.frames_to_time(onset_frames[:20], sr=sr) # Transforming Features songname_vector.set_value(id, line) # song name tempo_vector.set_value(id, tempo) # tempo total_beats.set_value(id, sum(beats)) # beats average_beats.set_value(id, np.average(beats)) chroma_stft_mean.set_value(id, np.mean(chroma_stft)) # chroma stft chroma_stft_std.set_value(id, np.std(chroma_stft)) chroma_stft_var.set_value(id, np.var(chroma_stft)) chroma_cq_mean.set_value(id, np.mean(chroma_cq)) # chroma cq chroma_cq_std.set_value(id, np.std(chroma_cq)) chroma_cq_var.set_value(id, np.var(chroma_cq)) chroma_cens_mean.set_value(id, np.mean(chroma_cens)) # chroma cens chroma_cens_std.set_value(id, np.std(chroma_cens)) chroma_cens_var.set_value(id, np.var(chroma_cens)) mel_mean.set_value(id, np.mean(melspectrogram)) # melspectrogram mel_std.set_value(id, np.std(melspectrogram)) mel_var.set_value(id, np.var(melspectrogram)) mfcc_mean.set_value(id, np.mean(mfcc)) # mfcc mfcc_std.set_value(id, np.std(mfcc)) mfcc_var.set_value(id, np.var(mfcc)) mfcc_delta_mean.set_value(id, np.mean(mfcc_delta)) # mfcc delta mfcc_delta_std.set_value(id, np.std(mfcc_delta)) mfcc_delta_var.set_value(id, np.var(mfcc_delta)) rmse_mean.set_value(id, np.mean(rmse)) # rmse rmse_std.set_value(id, np.std(rmse)) rmse_var.set_value(id, np.var(rmse)) cent_mean.set_value(id, np.mean(cent)) # cent cent_std.set_value(id, np.std(cent)) cent_var.set_value(id, np.var(cent)) spec_bw_mean.set_value(id, np.mean(spec_bw)) # spectral bandwidth spec_bw_std.set_value(id, np.std(spec_bw)) spec_bw_var.set_value(id, np.var(spec_bw)) contrast_mean.set_value(id, np.mean(contrast)) # contrast contrast_std.set_value(id, np.std(contrast)) contrast_var.set_value(id, np.var(contrast)) rolloff_mean.set_value(id, np.mean(rolloff)) # rolloff rolloff_std.set_value(id, np.std(rolloff)) rolloff_var.set_value(id, np.var(rolloff)) poly_mean.set_value(id, np.mean(poly_features)) # poly features poly_std.set_value(id, np.std(poly_features)) poly_var.set_value(id, np.var(poly_features)) tonnetz_mean.set_value(id, np.mean(tonnetz)) # tonnetz tonnetz_std.set_value(id, np.std(tonnetz)) tonnetz_var.set_value(id, np.var(tonnetz)) zcr_mean.set_value(id, np.mean(zcr)) # zero crossing rate zcr_std.set_value(id, np.std(zcr)) zcr_var.set_value(id, np.var(zcr)) harm_mean.set_value(id, np.mean(harmonic)) # harmonic harm_std.set_value(id, np.std(harmonic)) harm_var.set_value(id, np.var(harmonic)) perc_mean.set_value(id, np.mean(percussive)) # percussive perc_std.set_value(id, np.std(percussive)) perc_var.set_value(id, np.var(percussive)) frame_mean.set_value(id, np.mean(frames_to_time)) # frames frame_std.set_value(id, np.std(frames_to_time)) frame_var.set_value(id, np.var(frames_to_time)) print(songname) id = id+1 # Concatenating Features into one csv and json format feature_set['song_name'] = songname_vector # song name feature_set['tempo'] = tempo_vector # tempo feature_set['total_beats'] = total_beats # beats feature_set['average_beats'] = average_beats feature_set['chroma_stft_mean'] = chroma_stft_mean # chroma stft feature_set['chroma_stft_std'] = chroma_stft_std feature_set['chroma_stft_var'] = chroma_stft_var feature_set['chroma_cq_mean'] = chroma_cq_mean # chroma cq feature_set['chroma_cq_std'] = chroma_cq_std feature_set['chroma_cq_var'] = chroma_cq_var feature_set['chroma_cens_mean'] = chroma_cens_mean # chroma cens feature_set['chroma_cens_std'] = chroma_cens_std feature_set['chroma_cens_var'] = chroma_cens_var feature_set['melspectrogram_mean'] = mel_mean # melspectrogram feature_set['melspectrogram_std'] = mel_std feature_set['melspectrogram_var'] = mel_var feature_set['mfcc_mean'] = mfcc_mean # mfcc feature_set['mfcc_std'] = mfcc_std feature_set['mfcc_var'] = mfcc_var feature_set['mfcc_delta_mean'] = mfcc_delta_mean # mfcc delta feature_set['mfcc_delta_std'] = mfcc_delta_std feature_set['mfcc_delta_var'] = mfcc_delta_var feature_set['rmse_mean'] = rmse_mean # rmse feature_set['rmse_std'] = rmse_std feature_set['rmse_var'] = rmse_var feature_set['cent_mean'] = cent_mean # cent feature_set['cent_std'] = cent_std feature_set['cent_var'] = cent_var feature_set['spec_bw_mean'] = spec_bw_mean # spectral bandwidth feature_set['spec_bw_std'] = spec_bw_std feature_set['spec_bw_var'] = spec_bw_var feature_set['contrast_mean'] = contrast_mean # contrast feature_set['contrast_std'] = contrast_std feature_set['contrast_var'] = contrast_var feature_set['rolloff_mean'] = rolloff_mean # rolloff feature_set['rolloff_std'] = rolloff_std feature_set['rolloff_var'] = rolloff_var feature_set['poly_mean'] = poly_mean # poly features feature_set['poly_std'] = poly_std feature_set['poly_var'] = poly_var feature_set['tonnetz_mean'] = tonnetz_mean # tonnetz feature_set['tonnetz_std'] = tonnetz_std feature_set['tonnetz_var'] = tonnetz_var feature_set['zcr_mean'] = zcr_mean # zero crossing rate feature_set['zcr_std'] = zcr_std feature_set['zcr_var'] = zcr_var feature_set['harm_mean'] = harm_mean # harmonic feature_set['harm_std'] = harm_std feature_set['harm_var'] = harm_var feature_set['perc_mean'] = perc_mean # percussive feature_set['perc_std'] = perc_std feature_set['perc_var'] = perc_var feature_set['frame_mean'] = frame_mean # frames feature_set['frame_std'] = frame_std feature_set['frame_var'] = frame_var # Converting Dataframe into CSV Excel and JSON file feature_set.to_csv('Emotion_features.csv') feature_set.to_json('Emotion_features.json') # Extracting Feature Function Call extract_feature('Dataset/') ================================================ FILE: SourceCode/HyperparamaterTuning.py ================================================ import numpy as np import pandas as pd import seaborn as sns import matplotlib.pyplot as plt from sklearn.grid_search import GridSearchCV from sklearn.neighbors import KNeighborsClassifier from sklearn.cross_validation import train_test_split from sklearn.metrics import confusion_matrix from sklearn.metrics import accuracy_score data = pd.read_csv('Dataset/Emotion_data.csv') X = data.ix[:, 'tempo':] y = data['class'] featureName = list(X) for name in featureName: X[name] = (X[name]-X[name].min())/(X[name].max()-X[name].min()) X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=26) knn = KNeighborsClassifier() param_grid = { 'n_neighbors': np.arange(1, 25) } knn_cv = GridSearchCV(knn, param_grid, cv=10) knn_cv.fit(X_train, y_train) print(knn_cv.best_params_) print("Baseline Accuracy: "), print(knn_cv.best_score_) y_pred = knn_cv.predict(X_test) print(confusion_matrix(y_test, y_pred)) print("Testing Accuracy: "), print(accuracy_score(y_test, y_pred)) ================================================ FILE: SourceCode/ScatterPlotDistribution.py ================================================ """ @author: Danyal The following code plots a scatter plot for distribution of features against emotional classes """ import numpy as np import pandas as pd import matplotlib.pyplot as plt data = pd.read_csv('Dataset/Emotion_data.csv') feature = data.ix[:, 'tempo':] labels = list(feature) color = ['red' if l==1 else 'green' if l==2 else 'blue' if l==3 else 'orange' for l in data['label']] plt.style.use('ggplot') for label in feature: plt.figure(figsize=(12,12)) plt.xlabel('Class') plt.ylabel(label) plt.title(label + ' Distribution') plt.scatter(data['label'], feature[label], color=color) plt.savefig('Figure\\ScatterPlot\\' + label) plt.show() plt.clf() ================================================ FILE: SourceCode/ScatterPlotNormalizedDistribution.py ================================================ """ @author: Danyal The following code plots a scatter plot for distribution of features against emotional classes (normalized values) """ import numpy as np import pandas as pd import matplotlib.pyplot as plt data = pd.read_csv('Dataset/Emotion_data.csv') feature = data.ix[:, 'tempo':] labels = list(feature) color = ['red' if l==1 else 'green' if l==2 else 'blue' if l==3 else 'orange' for l in data['label']] plt.style.use('ggplot') for label in feature: # Normalization (value-mean)/(max-min) feature[label] = np.abs(feature[label]-feature[label].mean())/(feature[label].max()-feature[label].min()).astype(np.float64) plt.figure(figsize=(12,12)) plt.xlabel('Class') plt.ylabel(label) plt.title(label + ' Distribution') plt.scatter(data['label'], feature[label], color=color) plt.savefig('Figure\\ScatterPlot\\Normalized\\' + label) plt.show() plt.clf() ================================================ FILE: SourceCode/SingleFeaturekNN.py ================================================ """ @author: Danyal The following code classifies piece of music as one of the four emotions mentioned in the document """ import numpy as np import pandas as pd import matplotlib.pyplot as plt from sklearn.metrics import accuracy_score from sklearn.metrics import confusion_matrix from sklearn.neighbors import KNeighborsClassifier from sklearn.cross_validation import train_test_split data = pd.read_csv('Dataset/Emotion_data.csv') feature = data.ix[:, 'tempo':] featureName = list(feature) color = ['red' if l==1 else 'green' if l==2 else 'blue' if l==3 else 'orange' for l in data['label']] plt.style.use('ggplot') array = np.array(data) for iterator in range(4, len(array)): features = array[:, iterator] # Normalization features = np.abs(features-features.mean())/(features.max()-features.min()) labels = data.ix[:, 'class'].dropna() test_size = 0.20 random_seed = 7 train_d, test_d, train_l, test_l = train_test_split(features, labels, test_size=test_size, random_state=random_seed) train_d = train_d.reshape(-1, 1) train_l = train_l.reshape(-1, 1) test_d = test_d.reshape(-1, 1) test_l = test_l.reshape(-1, 1) result = [] xlabel = [i for i in range(1, 11)] for neighbors in range(1, 11): kNN = KNeighborsClassifier(n_neighbors=neighbors) kNN.fit(train_d, train_l) prediction = kNN.predict(test_d) result.append(accuracy_score(prediction, test_l)*100) plt.figure(figsize=(10, 10)) plt.xlabel('kNN Neighbors for k=1,2...10') plt.ylabel('Accuracy Score') plt.title('kNN Classifier Result for ' + featureName[iterator]) plt.ylim(0, 100) plt.xlim(0, xlabel[len(xlabel)-1]+1) plt.plot(xlabel, result) plt.savefig('Figure\\Individual\\Normalized\\' + featureName[iterator] + '.png') plt.show() ================================================ FILE: SourceCode/ViolinAndStripSubplot.py ================================================ import numpy as np import pandas as pd import seaborn as sns import matplotlib.pyplot as plt data = pd.read_csv('Dataset/Emotion_data.csv') feature = data.ix[:, 'tempo':] target = data['label'] targetName = data['class'] featureName = list(feature) for name in featureName: plt.figure(figsize=(12, 12)) plt.subplot(2,1,1) sns.stripplot(x='class', y=name, data=data, jitter=True) plt.title('Strip Plot for ' + name) plt.subplot(2,1,2) sns.violinplot(x='class', y=name, data=data) plt.title('Violin Plot for ' + name) plt.tight_layout() plt.savefig('Plots\\Violin and Strip Subplot\\' + name) plt.show() plt.clf() ================================================ FILE: SourceCode/ViolinStripAndMixPlot.py ================================================ import numpy as np import pandas as pd import seaborn as sns import matplotlib.pyplot as plt data = pd.read_csv('Dataset/Emotion_data.csv') feature = data.ix[:, 'tempo':] target = data['label'] targetName = data['class'] featureName = list(feature) for name in featureName: plt.figure(figsize=(12, 12)) sns.stripplot(x='class', y=name, data=data, jitter=True) plt.title('Strip Plot for ' + name) plt.savefig('Plots\\Strip Plot\\' + name) plt.show() plt.clf() plt.figure(figsize=(12, 12)) sns.violinplot(x='class', y=name, data=data) plt.title('Violin Plot for ' + name) plt.savefig('Plots\\Violin Plot\\' + name) plt.show() plt.clf() plt.figure(figsize=(12, 12)) sns.violinplot(x='class', y=name, data=data, inner=None, color='lightgray') sns.stripplot(x='class', y=name, data=data, jitter=True) plt.title('Violin and Strip Plot for ' + name) plt.savefig('Plots\\Violin and Strip Plot\\' + name) plt.show() plt.clf() ================================================ FILE: SourceCode/Visualization.py ================================================ import numpy as np import pandas as pd import seaborn as sns import matplotlib.pyplot as plt data = pd.read_csv('Dataset/Emotion_data.csv') feature = data.ix[:, 'tempo':] target = data['label'] targetName = data['class'] featureName = list(feature) color = ['red' if l==1 else 'green' if l==2 else 'blue' if l==3 else 'orange' for l in data['label']] for name in featureName: feature[name] = (feature[name]-feature[name].min())/(feature[name].max()-feature[name].min()) feature['class'] = data['class'] feature_mean = feature.ix[:, 'chroma_stft_mean'::3] feature_std = feature.ix[:, 'chroma_stft_var'::3] feature_var = feature.ix[:, 'chroma_stft_std'::3] fig, ax = plt.subplots(figsize=(12, 12)) sns.heatmap(feature[feature['class']=='sad'].ix[:, :-1], linewidths=0.5, ax=ax, cmap='Greens') plt.show()