2011:Audio Music Similarity and Retrieval Results

Introduction

These are the results for the 2011 running of the Audio Music Similarity and Retrieval task set. For background information about this task set please refer to the Audio Music Similarity and Retrieval page.

Each system was given 7000 songs chosen from IMIRSEL's "uspop", "uscrap" and "american" "classical" and "sundry" collections. Each system then returned a 7000x7000 distance matrix. 100 songs were randomly selected from the 10 genre groups (10 per genre) as queries and the first 5 most highly ranked songs out of the 7000 were extracted for each query (after filtering out the query itself, returned results from the same artist were also omitted). Then, for each query, the returned results (candidates) from all participants were grouped and were evaluated by human graders using the Evalutron 6000 grading system. Each individual query/candidate set was evaluated by a single grader. For each query/candidate pair, graders provided two scores. Graders were asked to provide 1 categorical BROAD score with 3 categories: NS,SS,VS as explained below, and one FINE score (in the range from 0 to 100). A description and analysis is provided below.

The systems read in 30 second audio clips as their raw data. The same 30 second clips were used in the grading stage.

General Legend

Team ID

Sub code	Submission name	Abstract	Contributors
CTCP1	need to be changed	PDF	Dmitry Bogdanov, Joan Serrà, Nicolas Wack, Perfecto Herrera } Broad Categories NS = Not Similar SS = Somewhat Similar VS = Very Similar Understanding Summary Measures Fine = Has a range from 0 (failure) to 100 (perfection). Broad = Has a range from 0 (failure) to 2 (perfection) as each query/candidate pair is scored with either NS=0, SS=1 or VS=2. Human Evaluation Overall Summary Results Measure CTCP1 CTCP2 CTCP3 DM2 DM3 GKC1 HKHLL1 ML1 ML2 ML3 PS1 SSKS3 SSPK2 STBD1 STBD2 STBD3 YL1 ZYC2 Average Fine Score 57.268 58.586 56.208 50.492 50.348 31.844 42.188 47.784 47.304 47.782 57.700 58.128 58.642 33.906 30.562 30.386 42.366 50.042 Average Cat Score 1.260 1.296 1.222 1.088 1.078 0.594 0.874 0.990 0.988 1.008 1.272 1.292 1.312 0.636 0.578 0.574 0.886 1.078 download these results as csv Note:RZ1 is the random result for comparing purpose. Friedman's Tests Friedman's Test (FINE Scores) The Friedman test was run in MATLAB against the Fine summary data over the 100 queries. Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05); TeamID TeamID Lowerbound Mean Upperbound Significance SSPK2 CTCP2 -2.005 0.620 3.245 FALSE SSPK2 SSKS3 -2.120 0.505 3.130 FALSE SSPK2 PS1 -2.430 0.195 2.820 FALSE SSPK2 CTCP1 -1.510 1.115 3.740 FALSE SSPK2 CTCP3 -1.145 1.480 4.105 FALSE SSPK2 DM2 0.820 3.445 6.070 TRUE SSPK2 DM3 0.840 3.465 6.090 TRUE SSPK2 ZYC2 0.620 3.245 5.870 TRUE SSPK2 ML1 1.850 4.475 7.100 TRUE SSPK2 ML3 2.530 5.155 7.780 TRUE SSPK2 ML2 2.435 5.060 7.685 TRUE SSPK2 YL1 3.360 5.985 8.610 TRUE SSPK2 HKHLL1 4.085 6.710 9.335 TRUE SSPK2 STBD1 5.745 8.370 10.995 TRUE SSPK2 GKC1 5.880 8.505 11.130 TRUE SSPK2 STBD2 6.435 9.060 11.685 TRUE SSPK2 STBD3 6.575 9.200 11.825 TRUE CTCP2 SSKS3 -2.740 -0.115 2.510 FALSE CTCP2 PS1 -3.050 -0.425 2.200 FALSE CTCP2 CTCP1 -2.130 0.495 3.120 FALSE CTCP2 CTCP3 -1.765 0.860 3.485 FALSE CTCP2 DM2 0.200 2.825 5.450 TRUE CTCP2 DM3 0.220 2.845 5.470 TRUE CTCP2 ZYC2 0.000 2.625 5.250 TRUE CTCP2 ML1 1.230 3.855 6.480 TRUE CTCP2 ML3 1.910 4.535 7.160 TRUE CTCP2 ML2 1.815 4.440 7.065 TRUE CTCP2 YL1 2.740 5.365 7.990 TRUE CTCP2 HKHLL1 3.465 6.090 8.715 TRUE CTCP2 STBD1 5.125 7.750 10.375 TRUE CTCP2 GKC1 5.260 7.885 10.510 TRUE CTCP2 STBD2 5.815 8.440 11.065 TRUE CTCP2 STBD3 5.955 8.580 11.205 TRUE SSKS3 PS1 -2.935 -0.310 2.315 FALSE SSKS3 CTCP1 -2.015 0.610 3.235 FALSE SSKS3 CTCP3 -1.650 0.975 3.600 FALSE SSKS3 DM2 0.315 2.940 5.565 TRUE SSKS3 DM3 0.335 2.960 5.585 TRUE SSKS3 ZYC2 0.115 2.740 5.365 TRUE SSKS3 ML1 1.345 3.970 6.595 TRUE SSKS3 ML3 2.025 4.650 7.275 TRUE SSKS3 ML2 1.930 4.555 7.180 TRUE SSKS3 YL1 2.855 5.480 8.105 TRUE SSKS3 HKHLL1 3.580 6.205 8.830 TRUE SSKS3 STBD1 5.240 7.865 10.490 TRUE SSKS3 GKC1 5.375 8.000 10.625 TRUE SSKS3 STBD2 5.930 8.555 11.180 TRUE SSKS3 STBD3 6.070 8.695 11.320 TRUE PS1 CTCP1 -1.705 0.920 3.545 FALSE PS1 CTCP3 -1.340 1.285 3.910 FALSE PS1 DM2 0.625 3.250 5.875 TRUE PS1 DM3 0.645 3.270 5.895 TRUE PS1 ZYC2 0.425 3.050 5.675 TRUE PS1 ML1 1.655 4.280 6.905 TRUE PS1 ML3 2.335 4.960 7.585 TRUE PS1 ML2 2.240 4.865 7.490 TRUE PS1 YL1 3.165 5.790 8.415 TRUE PS1 HKHLL1 3.890 6.515 9.140 TRUE PS1 STBD1 5.550 8.175 10.800 TRUE PS1 GKC1 5.685 8.310 10.935 TRUE PS1 STBD2 6.240 8.865 11.490 TRUE PS1 STBD3 6.380 9.005 11.630 TRUE CTCP1 CTCP3 -2.260 0.365 2.990 FALSE CTCP1 DM2 -0.295 2.330 4.955 FALSE CTCP1 DM3 -0.275 2.350 4.975 FALSE CTCP1 ZYC2 -0.495 2.130 4.755 FALSE CTCP1 ML1 0.735 3.360 5.985 TRUE CTCP1 ML3 1.415 4.040 6.665 TRUE CTCP1 ML2 1.320 3.945 6.570 TRUE CTCP1 YL1 2.245 4.870 7.495 TRUE CTCP1 HKHLL1 2.970 5.595 8.220 TRUE CTCP1 STBD1 4.630 7.255 9.880 TRUE CTCP1 GKC1 4.765 7.390 10.015 TRUE CTCP1 STBD2 5.320 7.945 10.570 TRUE CTCP1 STBD3 5.460 8.085 10.710 TRUE CTCP3 DM2 -0.660 1.965 4.590 FALSE CTCP3 DM3 -0.640 1.985 4.610 FALSE CTCP3 ZYC2 -0.860 1.765 4.390 FALSE CTCP3 ML1 0.370 2.995 5.620 TRUE CTCP3 ML3 1.050 3.675 6.300 TRUE CTCP3 ML2 0.955 3.580 6.205 TRUE CTCP3 YL1 1.880 4.505 7.130 TRUE CTCP3 HKHLL1 2.605 5.230 7.855 TRUE CTCP3 STBD1 4.265 6.890 9.515 TRUE CTCP3 GKC1 4.400 7.025 9.650 TRUE CTCP3 STBD2 4.955 7.580 10.205 TRUE CTCP3 STBD3 5.095 7.720 10.345 TRUE DM2 DM3 -2.605 0.020 2.645 FALSE DM2 ZYC2 -2.825 -0.200 2.425 FALSE DM2 ML1 -1.595 1.030 3.655 FALSE DM2 ML3 -0.915 1.710 4.335 FALSE DM2 ML2 -1.010 1.615 4.240 FALSE DM2 YL1 -0.085 2.540 5.165 FALSE DM2 HKHLL1 0.640 3.265 5.890 TRUE DM2 STBD1 2.300 4.925 7.550 TRUE DM2 GKC1 2.435 5.060 7.685 TRUE DM2 STBD2 2.990 5.615 8.240 TRUE DM2 STBD3 3.130 5.755 8.380 TRUE DM3 ZYC2 -2.845 -0.220 2.405 FALSE DM3 ML1 -1.615 1.010 3.635 FALSE DM3 ML3 -0.935 1.690 4.315 FALSE DM3 ML2 -1.030 1.595 4.220 FALSE DM3 YL1 -0.105 2.520 5.145 FALSE DM3 HKHLL1 0.620 3.245 5.870 TRUE DM3 STBD1 2.280 4.905 7.530 TRUE DM3 GKC1 2.415 5.040 7.665 TRUE DM3 STBD2 2.970 5.595 8.220 TRUE DM3 STBD3 3.110 5.735 8.360 TRUE ZYC2 ML1 -1.395 1.230 3.855 FALSE ZYC2 ML3 -0.715 1.910 4.535 FALSE ZYC2 ML2 -0.810 1.815 4.440 FALSE ZYC2 YL1 0.115 2.740 5.365 TRUE ZYC2 HKHLL1 0.840 3.465 6.090 TRUE ZYC2 STBD1 2.500 5.125 7.750 TRUE ZYC2 GKC1 2.635 5.260 7.885 TRUE ZYC2 STBD2 3.190 5.815 8.440 TRUE ZYC2 STBD3 3.330 5.955 8.580 TRUE ML1 ML3 -1.945 0.680 3.305 FALSE ML1 ML2 -2.040 0.585 3.210 FALSE ML1 YL1 -1.115 1.510 4.135 FALSE ML1 HKHLL1 -0.390 2.235 4.860 FALSE ML1 STBD1 1.270 3.895 6.520 TRUE ML1 GKC1 1.405 4.030 6.655 TRUE ML1 STBD2 1.960 4.585 7.210 TRUE ML1 STBD3 2.100 4.725 7.350 TRUE ML3 ML2 -2.720 -0.095 2.530 FALSE ML3 YL1 -1.795 0.830 3.455 FALSE ML3 HKHLL1 -1.070 1.555 4.180 FALSE ML3 STBD1 0.590 3.215 5.840 TRUE ML3 GKC1 0.725 3.350 5.975 TRUE ML3 STBD2 1.280 3.905 6.530 TRUE ML3 STBD3 1.420 4.045 6.670 TRUE ML2 YL1 -1.700 0.925 3.550 FALSE ML2 HKHLL1 -0.975 1.650 4.275 FALSE ML2 STBD1 0.685 3.310 5.935 TRUE ML2 GKC1 0.820 3.445 6.070 TRUE ML2 STBD2 1.375 4.000 6.625 TRUE ML2 STBD3 1.515 4.140 6.765 TRUE YL1 HKHLL1 -1.900 0.725 3.350 FALSE YL1 STBD1 -0.240 2.385 5.010 FALSE YL1 GKC1 -0.105 2.520 5.145 FALSE YL1 STBD2 0.450 3.075 5.700 TRUE YL1 STBD3 0.590 3.215 5.840 TRUE HKHLL1 STBD1 -0.965 1.660 4.285 FALSE HKHLL1 GKC1 -0.830 1.795 4.420 FALSE HKHLL1 STBD2 -0.275 2.350 4.975 FALSE HKHLL1 STBD3 -0.135 2.490 5.115 FALSE STBD1 GKC1 -2.490 0.135 2.760 FALSE STBD1 STBD2 -1.935 0.690 3.315 FALSE STBD1 STBD3 -1.795 0.830 3.455 FALSE GKC1 STBD2 -2.070 0.555 3.180 FALSE GKC1 STBD3 -1.930 0.695 3.320 FALSE STBD2 STBD3 -2.485 0.140 2.765 FALSE download these results as csv Friedman's Test (BROAD Scores) The Friedman test was run in MATLAB against the BROAD summary data over the 100 queries. Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05); TeamID TeamID Lowerbound Mean Upperbound Significance SSPK2 CTCP2 -2.007 0.515 3.037 FALSE SSPK2 SSKS3 -2.132 0.390 2.912 FALSE SSPK2 PS1 -2.262 0.260 2.782 FALSE SSPK2 CTCP1 -1.432 1.090 3.612 FALSE SSPK2 CTCP3 -1.207 1.315 3.837 FALSE SSPK2 DM2 0.448 2.970 5.492 TRUE SSPK2 DM3 0.418 2.940 5.462 TRUE SSPK2 ZYC2 0.308 2.830 5.352 TRUE SSPK2 ML3 1.893 4.415 6.937 TRUE SSPK2 ML1 1.838 4.360 6.882 TRUE SSPK2 ML2 1.953 4.475 6.997 TRUE SSPK2 YL1 2.828 5.350 7.872 TRUE SSPK2 HKHLL1 3.383 5.905 8.427 TRUE SSPK2 STBD1 5.173 7.695 10.217 TRUE SSPK2 GKC1 5.293 7.815 10.337 TRUE SSPK2 STBD2 5.633 8.155 10.677 TRUE SSPK2 STBD3 5.938 8.460 10.982 TRUE CTCP2 SSKS3 -2.647 -0.125 2.397 FALSE CTCP2 PS1 -2.777 -0.255 2.267 FALSE CTCP2 CTCP1 -1.947 0.575 3.097 FALSE CTCP2 CTCP3 -1.722 0.800 3.322 FALSE CTCP2 DM2 -0.067 2.455 4.977 FALSE CTCP2 DM3 -0.097 2.425 4.947 FALSE CTCP2 ZYC2 -0.207 2.315 4.837 FALSE CTCP2 ML3 1.378 3.900 6.422 TRUE CTCP2 ML1 1.323 3.845 6.367 TRUE CTCP2 ML2 1.438 3.960 6.482 TRUE CTCP2 YL1 2.313 4.835 7.357 TRUE CTCP2 HKHLL1 2.868 5.390 7.912 TRUE CTCP2 STBD1 4.658 7.180 9.702 TRUE CTCP2 GKC1 4.778 7.300 9.822 TRUE CTCP2 STBD2 5.118 7.640 10.162 TRUE CTCP2 STBD3 5.423 7.945 10.467 TRUE SSKS3 PS1 -2.652 -0.130 2.392 FALSE SSKS3 CTCP1 -1.822 0.700 3.222 FALSE SSKS3 CTCP3 -1.597 0.925 3.447 FALSE SSKS3 DM2 0.058 2.580 5.102 TRUE SSKS3 DM3 0.028 2.550 5.072 TRUE SSKS3 ZYC2 -0.082 2.440 4.962 FALSE SSKS3 ML3 1.503 4.025 6.547 TRUE SSKS3 ML1 1.448 3.970 6.492 TRUE SSKS3 ML2 1.563 4.085 6.607 TRUE SSKS3 YL1 2.438 4.960 7.482 TRUE SSKS3 HKHLL1 2.993 5.515 8.037 TRUE SSKS3 STBD1 4.783 7.305 9.827 TRUE SSKS3 GKC1 4.903 7.425 9.947 TRUE SSKS3 STBD2 5.243 7.765 10.287 TRUE SSKS3 STBD3 5.548 8.070 10.592 TRUE PS1 CTCP1 -1.692 0.830 3.352 FALSE PS1 CTCP3 -1.467 1.055 3.577 FALSE PS1 DM2 0.188 2.710 5.232 TRUE PS1 DM3 0.158 2.680 5.202 TRUE PS1 ZYC2 0.048 2.570 5.092 TRUE PS1 ML3 1.633 4.155 6.677 TRUE PS1 ML1 1.578 4.100 6.622 TRUE PS1 ML2 1.693 4.215 6.737 TRUE PS1 YL1 2.568 5.090 7.612 TRUE PS1 HKHLL1 3.123 5.645 8.167 TRUE PS1 STBD1 4.913 7.435 9.957 TRUE PS1 GKC1 5.033 7.555 10.077 TRUE PS1 STBD2 5.373 7.895 10.417 TRUE PS1 STBD3 5.678 8.200 10.722 TRUE CTCP1 CTCP3 -2.297 0.225 2.747 FALSE CTCP1 DM2 -0.642 1.880 4.402 FALSE CTCP1 DM3 -0.672 1.850 4.372 FALSE CTCP1 ZYC2 -0.782 1.740 4.262 FALSE CTCP1 ML3 0.803 3.325 5.847 TRUE CTCP1 ML1 0.748 3.270 5.792 TRUE CTCP1 ML2 0.863 3.385 5.907 TRUE CTCP1 YL1 1.738 4.260 6.782 TRUE CTCP1 HKHLL1 2.293 4.815 7.337 TRUE CTCP1 STBD1 4.083 6.605 9.127 TRUE CTCP1 GKC1 4.203 6.725 9.247 TRUE CTCP1 STBD2 4.543 7.065 9.587 TRUE CTCP1 STBD3 4.848 7.370 9.892 TRUE CTCP3 DM2 -0.867 1.655 4.177 FALSE CTCP3 DM3 -0.897 1.625 4.147 FALSE CTCP3 ZYC2 -1.007 1.515 4.037 FALSE CTCP3 ML3 0.578 3.100 5.622 TRUE CTCP3 ML1 0.523 3.045 5.567 TRUE CTCP3 ML2 0.638 3.160 5.682 TRUE CTCP3 YL1 1.513 4.035 6.557 TRUE CTCP3 HKHLL1 2.068 4.590 7.112 TRUE CTCP3 STBD1 3.858 6.380 8.902 TRUE CTCP3 GKC1 3.978 6.500 9.022 TRUE CTCP3 STBD2 4.318 6.840 9.362 TRUE CTCP3 STBD3 4.623 7.145 9.667 TRUE DM2 DM3 -2.552 -0.030 2.492 FALSE DM2 ZYC2 -2.662 -0.140 2.382 FALSE DM2 ML3 -1.077 1.445 3.967 FALSE DM2 ML1 -1.132 1.390 3.912 FALSE DM2 ML2 -1.017 1.505 4.027 FALSE DM2 YL1 -0.142 2.380 4.902 FALSE DM2 HKHLL1 0.413 2.935 5.457 TRUE DM2 STBD1 2.203 4.725 7.247 TRUE DM2 GKC1 2.323 4.845 7.367 TRUE DM2 STBD2 2.663 5.185 7.707 TRUE DM2 STBD3 2.968 5.490 8.012 TRUE DM3 ZYC2 -2.632 -0.110 2.412 FALSE DM3 ML3 -1.047 1.475 3.997 FALSE DM3 ML1 -1.102 1.420 3.942 FALSE DM3 ML2 -0.987 1.535 4.057 FALSE DM3 YL1 -0.112 2.410 4.932 FALSE DM3 HKHLL1 0.443 2.965 5.487 TRUE DM3 STBD1 2.233 4.755 7.277 TRUE DM3 GKC1 2.353 4.875 7.397 TRUE DM3 STBD2 2.693 5.215 7.737 TRUE DM3 STBD3 2.998 5.520 8.042 TRUE ZYC2 ML3 -0.937 1.585 4.107 FALSE ZYC2 ML1 -0.992 1.530 4.052 FALSE ZYC2 ML2 -0.877 1.645 4.167 FALSE ZYC2 YL1 -0.002 2.520 5.042 FALSE ZYC2 HKHLL1 0.553 3.075 5.597 TRUE ZYC2 STBD1 2.343 4.865 7.387 TRUE ZYC2 GKC1 2.463 4.985 7.507 TRUE ZYC2 STBD2 2.803 5.325 7.847 TRUE ZYC2 STBD3 3.108 5.630 8.152 TRUE ML3 ML1 -2.577 -0.055 2.467 FALSE ML3 ML2 -2.462 0.060 2.582 FALSE ML3 YL1 -1.587 0.935 3.457 FALSE ML3 HKHLL1 -1.032 1.490 4.012 FALSE ML3 STBD1 0.758 3.280 5.802 TRUE ML3 GKC1 0.878 3.400 5.922 TRUE ML3 STBD2 1.218 3.740 6.262 TRUE ML3 STBD3 1.523 4.045 6.567 TRUE ML1 ML2 -2.407 0.115 2.637 FALSE ML1 YL1 -1.532 0.990 3.512 FALSE ML1 HKHLL1 -0.977 1.545 4.067 FALSE ML1 STBD1 0.813 3.335 5.857 TRUE ML1 GKC1 0.933 3.455 5.977 TRUE ML1 STBD2 1.273 3.795 6.317 TRUE ML1 STBD3 1.578 4.100 6.622 TRUE ML2 YL1 -1.647 0.875 3.397 FALSE ML2 HKHLL1 -1.092 1.430 3.952 FALSE ML2 STBD1 0.698 3.220 5.742 TRUE ML2 GKC1 0.818 3.340 5.862 TRUE ML2 STBD2 1.158 3.680 6.202 TRUE ML2 STBD3 1.463 3.985 6.507 TRUE YL1 HKHLL1 -1.967 0.555 3.077 FALSE YL1 STBD1 -0.177 2.345 4.867 FALSE YL1 GKC1 -0.057 2.465 4.987 FALSE YL1 STBD2 0.283 2.805 5.327 TRUE YL1 STBD3 0.588 3.110 5.632 TRUE HKHLL1 STBD1 -0.732 1.790 4.312 FALSE HKHLL1 GKC1 -0.612 1.910 4.432 FALSE HKHLL1 STBD2 -0.272 2.250 4.772 FALSE HKHLL1 STBD3 0.033 2.555 5.077 TRUE STBD1 GKC1 -2.402 0.120 2.642 FALSE STBD1 STBD2 -2.062 0.460 2.982 FALSE STBD1 STBD3 -1.757 0.765 3.287 FALSE GKC1 STBD2 -2.182 0.340 2.862 FALSE GKC1 STBD3 -1.877 0.645 3.167 FALSE STBD2 STBD3 -2.217 0.305 2.827 FALSE download these results as csv Summary Results by Query FINE Scores These are the mean FINE scores per query assigned by Evalutron graders. The FINE scores for the 5 candidates returned per algorithm, per query, have been averaged. Values are bounded between 0 and 100. A perfect score would be 100. Genre labels have been included for reference. Genre Query CTCP1 CTCP2 CTCP3 DM2 DM3 GKC1 HKHLL1 ML1 ML2 ML3 PS1 SSKS3 SSPK2 STBD1 STBD2 STBD3 YL1 ZYC2 BAROQUE d006677 83.4 84.2 84.8 84.2 84.2 51.4 78.6 74.4 77.8 73.8 84.0 87.4 85.8 65.0 69.8 51.6 84.8 83.2 BAROQUE d006696 78.8 96.2 80.0 86.6 86.8 52.6 87.2 86.8 86.8 78.0 86.8 79.0 88.0 32.2 39.0 15.6 52.0 74.4 BAROQUE d007449 71.8 86.0 71.8 85.2 85.2 48.8 54.4 69.6 75.0 81.4 84.6 86.4 85.6 60.2 74.0 59.4 17.6 72.4 BAROQUE d008986 82.4 82.8 64.4 65.0 68.0 13.4 66.8 77.4 61.4 72.0 81.4 70.8 83.8 22.0 0.0 20.2 8.8 62.2 BAROQUE d012398 67.0 83.0 66.0 81.0 76.0 72.0 71.0 62.0 74.0 74.0 81.0 75.0 76.0 70.0 55.0 43.0 79.0 74.0 BAROQUE d013785 18.6 12.0 20.6 0.0 0.0 8.4 0.0 4.0 0.0 0.0 11.0 11.8 34.6 0.0 21.2 1.8 0.0 13.6 BAROQUE d014514 75.8 73.8 76.4 34.6 35.2 19.4 73.4 71.8 75.2 75.2 76.6 66.6 70.0 29.6 17.8 18.6 44.4 75.6 BAROQUE d014776 61.2 59.2 68.6 62.2 62.2 22.2 44.6 43.6 37.2 38.6 61.4 67.4 71.6 33.2 36.6 25.8 44.6 69.8 BAROQUE d015410 21.6 25.8 21.0 24.6 30.6 31.0 22.0 22.2 22.0 22.6 35.0 35.6 36.8 33.0 19.0 32.0 24.4 34.4 BAROQUE d016296 67.8 69.4 43.8 53.2 53.2 18.8 32.0 61.0 54.6 65.8 68.6 53.0 55.4 13.2 5.0 47.2 43.0 54.2 BLUES e003498 23.0 19.2 21.8 7.8 7.8 12.0 3.0 12.4 6.8 6.8 29.2 23.2 8.0 21.0 8.6 3.2 8.4 13.8 BLUES e006591 35.2 37.8 36.2 33.4 33.4 14.0 30.2 39.6 33.2 44.8 56.6 45.0 51.2 36.8 13.6 45.8 47.4 27.0 BLUES e006594 83.2 67.6 83.2 87.4 87.4 4.6 84.0 70.0 33.2 67.8 78.0 86.0 85.0 41.0 55.4 32.4 69.4 42.8 BLUES e007332 81.6 80.0 81.6 68.0 64.4 32.2 76.4 76.0 71.8 74.6 81.2 81.0 85.2 44.0 61.2 36.2 60.6 82.8 BLUES e010207 59.8 63.6 65.0 49.0 49.0 22.2 22.8 23.2 22.4 24.2 80.0 75.2 59.6 25.2 19.4 46.6 53.4 39.6 BLUES e010715 74.2 68.2 76.0 63.8 63.8 23.8 40.6 67.0 49.6 70.0 76.2 75.2 72.8 51.6 56.2 35.6 54.2 10.4 BLUES e012145 64.8 64.8 57.4 50.0 50.0 49.0 35.2 32.6 14.2 43.8 62.2 53.0 49.2 49.8 44.4 22.6 58.4 50.8 BLUES e012250 71.6 75.6 73.2 65.2 65.2 60.2 66.6 29.6 58.8 61.0 77.6 67.4 62.8 28.0 46.6 33.8 37.4 66.0 BLUES e012576 40.0 36.0 20.0 17.0 23.0 50.0 23.0 28.0 18.0 17.0 64.0 33.0 28.0 26.0 57.6 46.0 61.0 40.0 BLUES e015955 80.8 77.8 82.8 67.2 67.2 33.0 61.6 39.2 52.4 49.4 84.8 81.8 82.2 27.4 34.6 41.0 50.8 54.4 CLASSICAL d002664 29.6 39.8 35.2 30.0 30.0 16.0 20.8 48.6 44.0 31.6 34.6 33.6 33.0 3.6 2.0 1.0 37.6 16.4 CLASSICAL d008359 71.4 69.0 62.6 69.4 69.2 32.8 69.0 58.6 60.0 60.6 74.8 69.4 74.0 37.0 37.2 28.4 63.8 52.4 CLASSICAL d008847 68.0 64.2 66.6 69.8 66.8 55.4 64.6 62.4 59.6 53.4 71.0 72.6 71.2 44.6 13.4 55.2 21.6 66.4 CLASSICAL d009363 31.0 25.0 30.2 26.8 28.0 41.4 28.0 38.2 39.2 32.6 43.8 28.8 30.6 32.8 29.6 26.2 36.2 38.8 CLASSICAL d010273 84.0 82.0 83.8 81.0 78.0 37.2 78.6 83.0 82.2 83.0 83.6 82.6 65.0 65.6 15.6 49.2 79.8 78.8 CLASSICAL d012347 87.6 82.8 88.4 86.2 86.2 10.6 76.4 79.2 85.6 82.6 90.0 90.6 90.0 7.4 14.0 73.6 66.6 69.0 CLASSICAL d013474 64.4 74.6 73.8 75.8 75.8 67.4 64.2 68.8 69.2 62.8 71.6 69.8 77.6 39.2 33.8 44.8 48.6 61.2 CLASSICAL d013555 12.6 9.2 25.6 23.8 16.8 14.6 21.0 22.2 21.6 21.8 17.2 23.6 27.4 9.2 14.2 6.2 20.2 24.6 CLASSICAL d013745 79.8 81.4 79.0 62.0 62.0 16.0 72.8 73.4 76.6 75.6 81.6 71.4 72.0 59.0 23.2 48.4 63.4 72.6 CLASSICAL d019428 70.8 72.6 67.2 60.6 60.6 25.8 36.4 58.2 57.4 56.2 64.0 65.6 61.2 53.2 42.0 7.8 39.8 50.2 COUNTRY b007754 55.2 65.0 50.0 51.0 55.0 5.0 0.0 60.8 44.8 33.2 58.2 41.0 49.2 23.0 33.8 14.4 54.8 40.2 COUNTRY e000004 56.4 65.2 54.4 35.0 35.0 28.4 50.6 20.0 39.2 26.8 26.2 70.4 67.0 24.4 32.2 15.2 41.0 28.4 COUNTRY e005074 62.0 73.0 65.0 50.0 48.0 46.0 68.0 42.0 52.0 62.0 61.0 58.0 68.0 31.0 46.0 10.0 48.0 67.0 COUNTRY e006998 71.0 71.0 53.0 27.0 34.0 23.0 28.0 40.0 27.0 35.0 66.0 74.0 59.0 3.0 23.0 15.0 24.0 41.0 COUNTRY e008019 76.0 76.0 70.0 66.0 66.0 50.0 58.0 68.0 60.0 70.0 82.0 68.0 70.0 66.0 36.0 24.0 66.0 78.0 COUNTRY e010395 53.4 52.2 47.6 54.2 51.8 23.2 36.8 31.0 37.4 26.4 55.4 50.8 65.6 43.2 36.2 18.6 19.6 46.4 COUNTRY e012084 68.8 71.6 82.2 76.2 72.0 13.0 75.2 63.6 51.2 57.8 82.6 69.2 80.4 55.4 45.2 70.8 72.8 70.4 COUNTRY e014772 42.2 40.4 41.0 46.4 49.2 33.8 40.2 39.2 35.8 38.6 41.0 40.8 50.0 37.0 37.2 39.2 38.8 51.2 COUNTRY e019603 47.8 45.2 38.8 47.8 47.8 13.6 22.8 37.6 38.0 31.8 36.8 33.4 51.6 16.4 8.6 9.8 45.4 30.6 COUNTRY e019738 71.0 59.0 65.0 67.0 67.0 38.0 59.0 62.0 64.0 61.0 57.0 64.0 67.0 43.0 49.0 33.0 55.0 65.0 EDANCE a005135 54.0 57.0 57.0 27.0 30.0 41.0 19.0 2.2 31.0 53.0 41.0 39.0 43.0 54.0 32.0 28.0 46.0 0.0 EDANCE a005589 54.4 37.4 32.4 22.6 22.6 22.0 0.0 28.0 13.8 44.2 33.6 26.8 39.8 3.4 21.0 0.0 45.0 35.2 EDANCE a007506 61.2 57.4 68.8 52.2 52.2 72.6 10.4 35.2 43.2 24.4 64.8 71.4 70.4 56.0 25.6 23.4 42.0 56.6 EDANCE b003709 44.4 42.8 45.2 50.6 50.6 38.6 5.8 36.6 37.6 38.8 45.6 44.2 57.6 29.6 18.0 30.6 21.0 12.0 EDANCE b005745 26.2 17.2 26.4 24.0 24.0 14.6 25.8 28.6 20.4 24.6 30.8 33.8 29.0 12.0 18.4 14.2 19.6 26.6 EDANCE b006254 35.6 28.6 49.0 1.6 3.4 44.6 15.0 4.6 9.4 5.2 18.4 54.4 49.0 1.2 10.0 6.4 32.0 2.4 EDANCE b011836 34.0 40.0 40.0 34.0 42.0 42.0 24.0 52.0 40.0 40.0 32.0 46.0 54.0 18.0 40.0 32.0 24.0 24.0 EDANCE b016602 66.0 66.0 63.0 33.4 46.6 57.0 49.8 34.6 59.6 42.0 49.2 70.6 55.0 30.4 30.4 49.2 45.6 37.4 EDANCE f003218 83.0 88.0 76.0 76.0 76.0 78.0 31.0 77.0 74.0 76.0 87.0 70.0 94.0 42.0 52.0 77.0 59.0 54.0 EDANCE f019182 32.4 53.0 28.4 42.8 30.2 35.6 15.6 16.8 18.6 23.0 34.6 51.6 26.4 24.4 29.6 17.2 65.0 34.4 JAZZ a006733 83.0 85.0 72.0 11.0 11.0 38.0 13.0 21.0 19.0 23.0 65.0 81.0 81.0 21.0 34.0 44.0 32.0 22.0 JAZZ a009161 61.0 57.8 64.4 33.0 29.2 25.6 45.8 60.6 56.2 53.6 40.0 55.6 76.0 33.4 21.2 12.0 63.6 57.4 JAZZ e004616 67.4 74.4 70.6 74.2 73.4 53.2 69.8 69.6 69.8 69.8 78.2 77.6 80.6 61.0 57.4 44.6 64.2 75.4 JAZZ e004656 79.0 82.6 74.2 70.2 70.2 29.0 64.8 73.4 78.4 73.4 72.4 79.0 81.0 51.0 47.2 40.2 69.8 76.4 JAZZ e008805 71.8 61.6 64.2 26.4 13.8 21.0 3.4 46.2 39.6 36.0 37.2 55.6 33.0 12.2 9.4 10.8 54.6 29.2 JAZZ e009003 87.0 83.0 83.0 74.0 74.0 45.0 45.0 58.0 77.0 74.0 82.0 85.0 83.0 41.0 57.0 64.0 10.4 87.0 JAZZ e009926 0.0 0.0 0.0 0.2 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 8.0 0.2 3.2 0.4 0.0 JAZZ e010314 87.2 90.0 83.0 16.0 19.0 33.8 27.8 41.2 53.2 42.6 59.4 78.8 76.4 32.6 24.4 33.4 12.6 62.2 JAZZ e010700 71.8 81.6 68.8 28.2 23.4 22.2 52.0 53.0 41.2 36.4 33.8 56.8 47.2 14.6 30.4 26.8 14.8 41.8 JAZZ e012958 6.0 8.0 0.0 23.2 23.2 20.4 0.0 0.0 6.0 0.0 20.6 0.6 0.0 15.0 2.0 0.0 0.0 0.0 METAL a000907 21.8 23.0 39.0 32.0 39.8 8.2 23.8 21.0 8.8 19.6 22.0 29.2 39.0 2.2 1.2 8.6 19.4 20.6 METAL b001064 72.2 74.2 71.4 49.4 44.8 34.8 44.0 45.4 67.8 71.4 46.4 79.8 71.4 20.4 25.6 49.8 66.8 44.8 METAL b005963 86.0 79.0 85.0 83.0 79.0 71.0 52.0 74.0 68.0 77.0 83.0 79.0 72.0 42.0 43.0 56.0 77.0 74.0 METAL b007455 59.6 68.2 57.4 57.2 63.8 11.6 48.2 55.0 55.8 50.0 65.6 41.2 65.8 36.2 24.0 11.4 48.4 61.6 METAL b008450 38.2 37.4 55.4 63.4 64.6 7.8 40.0 75.6 53.0 56.2 37.4 30.8 14.4 16.8 10.6 21.6 43.2 60.6 METAL b009939 35.0 27.0 32.4 17.0 15.0 15.8 17.0 48.0 46.0 33.4 40.0 41.0 46.0 18.2 14.0 25.2 23.0 40.0 METAL b012964 46.0 44.0 33.0 42.0 42.0 10.0 58.0 45.0 41.0 35.0 49.0 46.0 43.0 30.0 8.0 0.0 19.0 49.0 METAL b019036 33.8 44.2 49.2 26.0 33.2 25.8 29.6 34.0 44.4 43.0 35.2 41.8 29.0 36.2 36.8 20.0 27.0 17.4 METAL f007939 56.4 37.0 64.0 65.8 55.6 30.8 59.0 67.2 62.2 59.0 60.8 32.4 68.8 12.2 7.4 3.8 52.8 65.4 METAL f015638 73.0 74.8 81.4 64.0 64.0 4.2 52.4 61.2 61.2 59.8 77.0 83.2 90.2 19.8 15.6 31.6 68.0 67.4 RAPHIPHOP a000184 45.2 60.0 42.8 59.0 59.0 6.4 58.2 55.6 59.0 57.4 62.6 65.4 61.6 63.2 46.6 15.4 45.0 46.0 RAPHIPHOP a000369 72.6 78.4 78.0 68.8 53.8 22.4 46.2 72.4 77.4 73.2 79.2 79.2 82.2 73.8 74.0 68.8 75.2 82.0 RAPHIPHOP a002853 52.2 56.4 26.8 57.8 57.8 38.6 57.4 49.2 75.2 66.0 64.6 57.2 56.8 35.6 15.6 59.8 28.6 51.4 RAPHIPHOP a006408 73.6 66.0 68.6 72.6 71.8 56.4 73.8 76.6 71.8 70.2 70.8 76.4 71.4 69.8 68.4 73.2 73.8 74.0 RAPHIPHOP a007204 78.6 80.8 70.8 75.4 75.4 65.0 82.8 46.8 70.4 65.4 80.6 81.6 80.0 33.2 32.8 27.4 58.4 76.6 RAPHIPHOP a008101 68.4 73.2 63.8 57.8 51.0 11.0 49.8 69.2 63.2 66.4 71.2 71.0 68.4 45.8 31.2 55.0 54.8 68.2 RAPHIPHOP b001529 61.0 53.0 52.0 53.4 47.4 4.2 44.2 56.0 18.0 43.0 43.0 36.0 57.0 24.0 54.0 12.2 66.0 36.0 RAPHIPHOP b009504 57.0 59.0 50.0 67.0 67.0 13.2 54.4 56.4 63.0 74.2 61.6 43.6 48.8 6.2 3.0 57.4 60.6 60.2 RAPHIPHOP b012102 39.0 59.6 47.0 62.2 62.2 29.6 38.4 62.0 65.6 81.6 59.8 74.2 59.0 63.0 29.6 45.6 25.8 71.0 RAPHIPHOP b018710 41.6 69.0 48.0 71.6 64.2 26.6 32.4 59.0 67.2 59.0 66.0 69.4 77.0 26.0 32.2 65.2 42.8 46.0 ROCKROLL a003466 10.2 9.6 28.8 8.6 8.6 32.6 17.8 25.2 18.4 9.4 25.6 38.2 20.6 24.2 24.4 22.4 18.8 20.2 ROCKROLL b000979 29.0 41.0 28.0 38.0 50.0 0.0 23.0 49.0 36.0 30.0 44.0 63.0 37.0 18.0 14.0 8.0 16.0 58.0 ROCKROLL b001750 32.0 30.0 29.0 41.0 41.0 38.0 36.0 42.0 49.0 49.0 32.0 38.0 51.0 24.0 30.0 14.0 42.0 28.0 ROCKROLL b005580 41.2 35.2 35.8 31.6 31.6 27.2 22.0 41.0 27.4 18.6 32.6 33.8 36.4 34.4 24.0 2.6 23.8 36.8 ROCKROLL b008059 48.0 41.2 37.2 36.4 36.4 30.0 8.4 8.2 17.6 9.2 51.6 63.8 37.8 12.2 21.2 11.4 11.8 30.0 ROCKROLL b008990 48.4 70.4 46.2 44.2 44.2 38.8 25.4 41.6 29.0 38.0 54.6 64.6 46.0 32.2 24.0 1.6 43.4 51.2 ROCKROLL b011113 36.0 36.4 36.2 38.0 37.8 25.8 32.6 37.6 34.6 27.8 33.0 38.4 36.8 27.4 37.6 23.8 38.0 39.4 ROCKROLL b016165 66.8 69.8 60.4 57.6 59.2 49.8 54.4 46.6 29.0 45.4 61.0 59.2 49.8 31.4 12.6 30.0 57.8 73.6 ROCKROLL b017586 55.0 55.0 57.0 47.0 53.0 53.0 49.0 51.0 49.0 48.0 58.0 60.0 51.0 21.0 25.0 18.0 47.0 47.0 ROCKROLL b019928 49.8 50.2 55.2 59.4 55.4 29.2 31.8 44.2 40.0 50.2 49.2 50.0 52.2 37.4 51.4 42.2 43.8 53.8 ROMANTIC d005834 58.6 48.4 62.0 46.2 46.2 23.4 5.6 17.6 29.0 22.8 55.8 59.8 52.2 7.6 10.8 43.4 29.2 50.0 ROMANTIC d009949 67.0 64.8 59.8 65.2 65.2 50.6 59.8 62.0 62.0 62.0 67.4 68.4 65.4 58.4 47.4 20.6 35.6 69.4 ROMANTIC d010217 43.6 42.6 50.2 36.2 36.2 29.4 39.6 44.4 34.2 34.2 52.2 37.8 43.0 39.4 30.0 17.2 32.4 32.4 ROMANTIC d012214 66.0 68.4 61.0 65.2 64.0 55.0 53.2 55.6 58.4 55.2 63.8 66.0 70.6 34.0 43.0 46.0 45.0 69.2 ROMANTIC d015538 82.6 85.2 89.6 82.4 86.4 44.2 57.2 60.8 69.0 73.6 85.0 84.6 85.2 67.4 34.6 50.6 80.8 88.0 ROMANTIC d016565 46.0 54.0 45.0 33.0 37.0 25.0 24.0 22.0 29.0 18.0 48.0 42.0 47.0 54.0 29.0 7.0 15.0 41.0 ROMANTIC d017427 94.6 91.0 94.0 91.6 91.6 79.2 71.8 54.0 53.4 51.2 94.8 92.0 94.6 78.6 47.2 36.8 39.8 84.2 ROMANTIC d017784 69.0 74.0 69.0 73.0 73.0 68.0 71.0 47.0 66.0 51.0 75.0 67.0 77.0 87.0 63.0 85.0 33.0 73.0 ROMANTIC d018721 47.6 56.2 45.0 32.2 32.2 11.2 61.4 46.8 52.4 26.0 51.4 46.6 58.4 12.0 20.0 16.2 6.8 57.8 ROMANTIC d019573 73.2 77.4 75.0 65.0 67.6 16.2 51.4 66.4 50.8 74.2 75.0 72.0 72.6 51.4 26.0 27.6 36.8 65.0 download these results as csv BROAD Scores These are the mean BROAD scores per query assigned by Evalutron graders. The BROAD scores for the 5 candidates returned per algorithm, per query, have been averaged. Values are bounded between 0 (not similar) and 2 (very similar). A perfect score would be 2. Genre labels have been included for reference. Genre Query CTCP1 CTCP2 CTCP3 DM2 DM3 GKC1 HKHLL1 ML1 ML2 ML3 PS1 SSKS3 SSPK2 STBD1 STBD2 STBD3 YL1 ZYC2 BAROQUE d006677 2.0 2.0 2.0 2.0 2.0 1.0 1.6 1.6 1.8 1.6 2.0 2.0 2.0 1.2 1.4 1.2 2.0 1.8 BAROQUE d006696 1.6 2.0 1.6 1.8 1.8 1.0 1.8 1.8 1.8 1.6 1.8 1.6 1.8 0.6 0.8 0.2 1.0 1.6 BAROQUE d007449 1.6 2.0 1.6 2.0 2.0 1.0 1.0 1.6 1.6 1.8 2.0 2.0 2.0 1.4 1.6 1.2 0.0 1.8 BAROQUE d008986 1.8 2.0 1.4 1.8 1.8 0.2 1.4 1.8 1.4 1.8 1.8 1.8 2.0 0.4 0.0 0.4 0.0 1.2 BAROQUE d012398 1.6 1.8 1.6 1.8 1.8 1.6 1.4 1.2 1.8 2.0 1.8 2.0 1.8 1.6 1.2 0.8 2.0 1.6 BAROQUE d013785 0.4 0.2 0.4 0.0 0.0 0.2 0.0 0.0 0.0 0.0 0.2 0.2 0.8 0.0 0.4 0.0 0.0 0.4 BAROQUE d014514 1.8 1.6 1.8 0.4 0.4 0.0 1.6 1.6 1.8 1.8 1.6 1.6 1.6 0.2 0.2 0.0 1.0 1.6 BAROQUE d014776 1.4 1.2 1.4 1.4 1.4 0.4 1.0 1.0 0.6 0.6 1.4 1.6 1.8 0.4 0.6 0.4 1.0 1.6 BAROQUE d015410 0.0 0.2 0.0 0.0 0.2 0.4 0.0 0.0 0.0 0.0 0.4 0.4 0.4 0.4 0.4 0.4 0.2 0.6 BAROQUE d016296 1.6 1.4 0.8 1.2 1.2 0.2 0.6 1.2 1.2 1.6 1.6 1.0 1.2 0.2 0.0 1.2 1.2 1.2 BLUES e003498 0.2 0.2 0.2 0.0 0.0 0.2 0.0 0.2 0.0 0.0 0.4 0.2 0.0 0.4 0.2 0.0 0.2 0.2 BLUES e006591 0.6 0.6 0.8 0.6 0.6 0.0 0.6 0.8 0.6 1.0 1.2 0.8 1.0 0.6 0.0 1.0 1.0 0.4 BLUES e006594 2.0 1.6 2.0 2.0 2.0 0.0 2.0 1.8 0.8 1.6 2.0 2.0 2.0 0.8 1.0 0.8 1.8 1.0 BLUES e007332 1.8 1.8 2.0 1.4 1.2 0.4 1.6 1.8 1.6 1.8 1.8 1.8 2.0 0.8 1.2 0.8 1.4 2.0 BLUES e010207 1.4 1.2 1.2 1.2 1.2 0.4 0.4 0.4 0.4 0.4 2.0 1.6 1.4 0.2 0.2 1.2 1.0 0.8 BLUES e010715 1.6 1.4 1.8 1.4 1.4 0.2 0.6 1.4 0.8 1.6 1.8 1.8 1.6 1.0 1.2 0.4 1.0 0.0 BLUES e012145 1.6 1.6 1.6 1.0 1.0 0.8 0.8 0.6 0.0 1.0 1.6 1.2 1.0 1.0 0.8 0.2 1.4 1.0 BLUES e012250 1.6 1.8 1.8 1.6 1.6 1.2 1.6 0.6 1.2 1.4 2.0 1.6 1.6 0.4 0.8 0.6 0.8 1.6 BLUES e012576 0.8 0.6 0.2 0.2 0.4 1.0 0.4 0.2 0.0 0.0 1.4 0.6 0.4 0.6 1.2 1.0 1.4 0.8 BLUES e015955 2.0 1.8 2.0 1.6 1.6 0.4 1.2 0.6 1.0 1.0 2.0 2.0 2.0 0.4 0.6 0.8 1.0 1.0 CLASSICAL d002664 0.6 1.0 0.8 0.6 0.6 0.4 0.4 1.0 1.0 0.4 0.8 0.6 0.6 0.0 0.0 0.0 0.8 0.2 CLASSICAL d008359 1.8 1.8 1.4 1.6 1.6 0.6 1.8 1.2 1.4 1.4 2.0 1.6 2.0 0.4 0.4 0.2 1.6 1.2 CLASSICAL d008847 1.2 1.0 1.2 1.4 1.4 1.0 1.0 1.0 1.0 0.8 1.0 1.2 1.2 0.6 0.4 1.0 0.2 1.0 CLASSICAL d009363 0.8 0.6 0.8 0.8 1.0 0.8 0.8 1.0 1.0 1.0 1.2 0.8 0.8 1.0 0.8 1.0 1.2 1.0 CLASSICAL d010273 2.0 2.0 2.0 2.0 1.8 0.8 1.8 2.0 2.0 2.0 2.0 2.0 1.6 1.4 0.0 1.0 2.0 2.0 CLASSICAL d012347 2.0 1.8 2.0 2.0 2.0 0.0 1.8 1.8 1.8 2.0 2.0 2.0 2.0 0.0 0.0 1.4 1.4 1.2 CLASSICAL d013474 1.6 2.0 1.8 2.0 2.0 1.6 1.6 1.8 1.6 1.2 1.8 1.8 2.0 0.8 0.8 1.0 1.2 1.6 CLASSICAL d013555 0.0 0.0 0.4 0.2 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.2 0.0 0.0 0.0 0.2 0.0 CLASSICAL d013745 2.0 2.0 2.0 1.6 1.6 0.2 2.0 2.0 1.8 2.0 2.0 2.0 2.0 1.6 0.4 1.2 1.6 1.8 CLASSICAL d019428 1.8 1.8 1.6 1.6 1.6 0.6 0.6 1.2 1.4 1.2 1.6 1.6 1.4 1.4 1.0 0.0 1.0 1.2 COUNTRY b007754 0.8 1.0 0.4 0.8 1.0 0.0 0.0 0.6 0.6 0.4 0.8 0.4 0.8 0.4 0.4 0.2 1.0 0.4 COUNTRY e000004 1.2 1.4 1.0 0.4 0.4 0.2 1.2 0.2 0.6 0.4 0.2 1.4 1.6 0.2 0.2 0.0 0.8 0.2 COUNTRY e005074 1.4 1.8 1.6 1.0 0.8 0.8 1.8 0.6 0.8 1.4 1.2 1.2 1.4 0.4 0.8 0.0 0.8 1.6 COUNTRY e006998 1.6 1.6 1.2 0.4 0.6 0.2 0.6 0.8 0.4 0.4 1.4 1.6 1.2 0.0 0.4 0.2 0.4 0.8 COUNTRY e008019 1.8 1.8 1.6 1.4 1.4 1.0 1.2 1.6 1.2 1.6 2.0 1.6 1.6 1.4 0.4 0.0 1.4 1.8 COUNTRY e010395 1.2 1.0 1.0 1.0 1.0 0.2 0.4 0.4 0.6 0.4 1.2 0.8 1.4 0.6 0.4 0.2 0.2 0.8 COUNTRY e012084 1.2 1.2 1.6 1.4 1.2 0.2 1.4 1.0 1.0 1.0 1.6 1.2 1.4 1.0 0.6 1.2 1.2 1.2 COUNTRY e014772 1.0 1.0 1.0 1.0 1.2 0.6 1.0 1.0 1.0 1.0 1.0 1.0 1.2 1.0 1.0 1.0 1.0 1.2 COUNTRY e019603 1.2 1.2 1.0 1.2 1.2 0.2 0.6 0.8 1.0 0.6 0.8 1.0 1.4 0.4 0.2 0.0 1.0 0.8 COUNTRY e019738 1.6 1.2 1.8 1.6 1.6 0.6 1.4 1.0 1.2 1.2 1.2 1.4 1.6 0.4 1.0 0.4 1.0 1.6 EDANCE a005135 1.0 1.2 1.2 0.4 0.4 0.8 0.2 0.0 0.4 1.2 0.6 0.8 1.0 1.4 0.8 0.4 1.0 0.0 EDANCE a005589 1.6 1.0 0.8 0.6 0.6 0.6 0.0 0.8 0.4 1.2 1.0 0.6 1.0 0.2 0.6 0.0 1.2 0.8 EDANCE a007506 1.2 1.0 1.4 0.8 0.8 1.6 0.0 0.4 0.6 0.0 1.0 1.2 1.4 1.0 0.4 0.0 0.6 1.0 EDANCE b003709 0.8 0.8 0.8 1.2 1.2 0.4 0.0 0.6 0.8 0.8 1.0 0.8 1.0 0.6 0.2 0.8 0.2 0.2 EDANCE b005745 0.6 0.4 0.6 0.6 0.6 0.2 0.6 0.6 0.4 0.6 0.8 0.8 0.6 0.0 0.2 0.2 0.4 0.6 EDANCE b006254 0.6 0.6 1.0 0.0 0.0 1.0 0.4 0.0 0.2 0.0 0.4 1.0 1.0 0.0 0.2 0.0 0.6 0.0 EDANCE b011836 0.6 0.8 0.8 0.6 0.8 0.8 0.2 1.0 0.6 0.6 0.4 1.0 1.2 0.0 0.8 0.4 0.2 0.2 EDANCE b016602 1.6 1.4 1.4 0.8 1.2 1.2 0.8 0.6 1.4 0.8 1.2 1.4 1.0 0.6 0.4 1.2 1.2 0.6 EDANCE f003218 1.8 1.8 1.8 1.8 1.8 1.8 0.8 1.6 1.8 1.8 2.0 1.6 2.0 0.6 1.2 1.6 1.2 1.0 EDANCE f019182 0.4 1.0 0.2 0.8 0.4 0.8 0.0 0.0 0.2 0.2 0.4 1.0 0.0 0.4 0.4 0.0 1.6 0.4 JAZZ a006733 2.0 2.0 1.6 0.0 0.0 0.6 0.0 0.0 0.0 0.2 1.4 2.0 2.0 0.2 0.6 1.0 0.4 0.2 JAZZ a009161 1.2 1.2 1.2 0.8 0.6 0.6 1.2 1.2 1.0 1.0 0.8 1.4 1.8 0.6 0.2 0.2 1.4 1.4 JAZZ e004616 1.4 1.6 1.6 1.8 1.8 1.2 1.6 1.6 1.6 1.6 1.8 2.0 2.0 1.4 1.4 1.0 1.4 2.0 JAZZ e004656 2.0 2.0 1.8 1.4 1.4 0.4 1.6 1.8 2.0 1.8 1.6 2.0 1.8 0.8 0.8 0.6 1.6 2.0 JAZZ e008805 1.6 1.4 1.4 0.4 0.0 0.4 0.0 1.0 1.0 0.8 1.0 1.2 0.8 0.0 0.2 0.2 1.0 0.4 JAZZ e009003 2.0 2.0 2.0 1.6 1.6 1.2 1.0 1.6 2.0 1.8 2.0 2.0 2.0 0.8 1.2 1.6 0.2 2.0 JAZZ e009926 0.0 0.0 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.0 0.2 0.0 0.0 0.0 0.0 JAZZ e010314 2.0 2.0 2.0 0.2 0.2 0.6 0.4 0.8 1.2 0.8 1.2 1.8 1.6 0.8 0.2 0.6 0.0 1.4 JAZZ e010700 1.6 1.8 1.4 0.2 0.2 0.4 1.0 1.2 0.6 0.6 0.6 1.4 1.0 0.0 0.2 0.4 0.0 0.6 JAZZ e012958 0.4 0.4 0.0 0.0 0.0 0.4 0.0 0.0 0.4 0.0 0.2 0.0 0.0 0.4 0.2 0.0 0.0 0.0 METAL a000907 0.2 0.4 0.6 0.4 0.6 0.2 0.4 0.2 0.0 0.2 0.2 0.4 0.6 0.0 0.0 0.2 0.2 0.4 METAL b001064 1.8 2.0 1.8 0.8 0.8 0.4 1.0 0.6 1.6 1.6 1.0 2.0 1.8 0.0 0.2 1.2 1.4 1.0 METAL b005963 1.8 1.8 2.0 1.8 1.6 1.8 1.2 1.6 1.4 1.8 2.0 1.8 1.4 0.8 1.0 1.4 1.6 1.8 METAL b007455 1.4 1.4 1.2 1.2 1.4 0.0 1.0 1.4 1.4 1.2 1.6 0.6 1.2 0.6 0.4 0.0 1.2 1.2 METAL b008450 1.2 1.2 1.4 1.6 1.6 0.4 0.8 1.8 1.6 1.6 0.8 1.0 0.6 0.2 0.4 0.6 1.2 1.8 METAL b009939 0.4 0.2 0.6 0.2 0.0 0.2 0.2 0.8 0.6 0.4 0.6 0.8 1.0 0.4 0.2 0.4 0.2 0.8 METAL b012964 0.8 0.6 0.4 0.8 0.8 0.2 1.2 1.0 0.6 0.6 0.8 0.8 0.8 0.4 0.2 0.0 0.2 1.0 METAL b019036 0.6 0.8 1.0 1.0 1.0 0.6 0.6 1.2 1.0 1.0 1.0 1.0 0.8 0.8 0.6 0.4 1.0 0.4 METAL f007939 1.2 0.8 1.4 1.2 1.0 0.6 1.4 1.4 1.4 1.2 1.2 0.6 1.4 0.2 0.0 0.0 1.0 1.4 METAL f015638 1.6 1.8 2.0 1.4 1.4 0.0 1.2 1.4 1.2 1.2 1.8 2.0 2.0 0.4 0.2 0.6 1.4 1.4 RAPHIPHOP a000184 1.0 1.4 0.8 1.4 1.4 0.0 1.4 1.4 1.4 1.4 1.8 1.8 1.6 1.8 1.2 0.2 1.0 1.2 RAPHIPHOP a000369 1.2 1.6 1.6 1.4 1.0 0.4 0.8 1.4 1.6 1.4 1.8 1.6 1.8 1.4 1.6 1.6 1.4 1.8 RAPHIPHOP a002853 1.2 1.4 0.4 1.4 1.4 0.8 1.6 1.2 2.0 1.6 1.6 1.6 1.6 0.8 0.2 1.4 0.6 1.0 RAPHIPHOP a006408 2.0 2.0 2.0 2.0 2.0 1.2 2.0 2.0 2.0 2.0 2.0 2.0 2.0 2.0 1.8 2.0 2.0 2.0 RAPHIPHOP a007204 1.8 1.8 1.4 2.0 2.0 1.4 2.0 0.8 1.6 1.4 1.8 2.0 1.8 0.6 0.6 0.2 1.4 2.0 RAPHIPHOP a008101 2.0 2.0 1.8 1.4 1.2 0.0 1.2 2.0 1.8 1.8 2.0 2.0 2.0 1.2 0.8 1.4 1.6 1.8 RAPHIPHOP b001529 1.4 1.2 1.0 1.2 1.0 0.0 0.8 1.2 0.2 0.8 0.8 0.8 1.4 0.2 1.2 0.2 1.4 0.8 RAPHIPHOP b009504 1.2 1.2 1.0 1.6 1.6 0.2 1.2 1.0 1.4 1.6 1.0 0.8 0.8 0.0 0.0 1.2 1.2 1.2 RAPHIPHOP b012102 0.8 1.2 1.0 1.4 1.4 0.6 0.8 1.2 1.4 2.0 1.4 1.8 1.2 1.4 0.8 0.8 0.6 1.6 RAPHIPHOP b018710 0.8 1.8 1.0 1.8 1.6 0.0 0.4 1.6 1.8 1.4 1.6 1.8 2.0 0.4 0.4 1.6 0.8 1.0 ROCKROLL a003466 0.0 0.0 0.4 0.0 0.0 0.6 0.2 0.4 0.2 0.0 0.2 0.8 0.2 0.6 0.4 0.4 0.2 0.2 ROCKROLL b000979 0.4 0.8 0.4 0.6 0.8 0.0 0.2 0.8 0.6 0.4 0.8 1.2 0.6 0.2 0.2 0.0 0.2 1.4 ROCKROLL b001750 0.2 0.2 0.2 0.4 0.4 0.4 0.4 0.4 0.6 0.6 0.2 0.4 0.8 0.2 0.4 0.0 0.6 0.2 ROCKROLL b005580 1.0 0.8 0.8 0.6 0.6 0.2 0.6 1.0 0.6 0.4 0.8 0.8 0.8 0.6 0.4 0.0 0.2 0.8 ROCKROLL b008059 1.2 1.2 1.2 1.0 1.0 0.8 0.4 0.6 1.0 0.6 1.2 1.6 1.0 0.6 1.0 0.2 0.4 1.0 ROCKROLL b008990 1.0 1.4 0.8 1.0 1.0 0.8 0.2 0.8 0.6 0.8 1.0 1.2 1.0 0.6 0.4 0.0 0.8 1.0 ROCKROLL b011113 1.0 1.0 1.0 1.0 1.0 0.4 0.8 1.0 0.8 0.6 0.8 1.0 1.0 0.6 1.0 0.4 1.0 1.0 ROCKROLL b016165 1.2 1.4 1.2 1.2 1.2 1.0 1.2 0.8 0.6 0.8 1.0 1.2 1.2 0.6 0.2 0.6 1.2 1.6 ROCKROLL b017586 1.2 1.2 1.2 1.0 1.0 1.4 0.8 1.0 1.0 1.0 1.4 1.2 1.2 0.0 0.6 0.4 0.8 0.6 ROCKROLL b019928 1.2 1.4 1.4 1.2 1.2 0.4 0.4 0.8 0.6 1.0 1.2 1.0 1.2 0.4 1.0 0.8 0.8 1.0 ROMANTIC d005834 1.2 1.2 1.4 1.2 1.2 0.6 0.0 0.2 0.4 0.2 1.4 1.4 1.2 0.0 0.0 0.6 0.8 1.0 ROMANTIC d009949 1.8 1.4 1.2 1.4 1.4 1.2 1.4 1.4 1.4 1.4 1.8 1.4 1.4 1.2 1.2 0.2 0.6 1.8 ROMANTIC d010217 1.0 1.0 1.0 1.0 1.0 0.6 1.0 1.0 0.8 0.8 1.2 1.0 1.2 1.0 1.0 0.4 0.8 1.2 ROMANTIC d012214 1.6 1.6 1.2 1.6 1.4 1.2 1.0 1.2 1.2 1.0 1.2 1.6 2.0 0.6 0.8 0.8 0.8 1.8 ROMANTIC d015538 2.0 2.0 2.0 1.8 2.0 1.0 1.2 1.4 1.2 1.6 2.0 2.0 1.8 1.4 0.6 0.8 1.8 2.0 ROMANTIC d016565 0.8 1.0 0.6 0.6 0.6 0.4 0.4 0.2 0.4 0.2 1.0 0.6 0.8 0.8 0.2 0.0 0.2 0.8 ROMANTIC d017427 2.0 2.0 2.0 2.0 2.0 1.4 1.2 1.0 0.8 0.8 2.0 2.0 2.0 1.2 0.8 0.8 0.8 1.6 ROMANTIC d017784 1.0 1.4 1.0 1.2 1.2 1.6 1.2 0.8 1.0 0.8 1.4 1.2 1.6 2.0 1.4 2.0 0.6 1.2 ROMANTIC d018721 1.2 1.4 1.2 0.8 0.8 0.4 1.6 1.2 1.2 0.8 1.6 1.2 1.4 0.6 0.6 0.4 0.2 1.4 ROMANTIC d019573 2.0 2.0 2.0 1.8 1.8 0.4 1.2 1.8 1.4 2.0 2.0 2.0 2.0 1.2 0.6 0.4 0.8 2.0 download these results as csv Raw Scores The raw data derived from the Evalutron 6000 human evaluations are located on the 2011:Audio Music Similarity and Retrieval Raw Data page. Metadata and Distance Space Evaluation The following reports provide evaluation statistics based on analysis of the distance space and metadata matches and include: Neighbourhood clustering by artist, album and genre Artist-filtered genre clustering How often the triangular inequality holds Statistics on 'hubs' (tracks similar to many tracks) and orphans (tracks that are not similar to any other tracks at N results). Reports BWL1 = Dmitry Bogdanov, Joan Serrà, Nicolas Wack, Perfecto Herrera PS1 = Tim Pohle, Dominik Schnitzer PSS1 = Tim Pohle, Klaus Seyerlehner, Dominik Schnitzer RZ1 = Rainer Zufall SSPK2 = Klaus Seyerlehner, Markus Schedl, Tim Pohle, Peter Knees TLN1 = George Tzanetakis, Mathieu Lagrange, Steven Ness TLN2 = George Tzanetakis, Mathieu Lagrange, Steven Ness TLN3 = George Tzanetakis, Mathieu Lagrange, Steven Ness Run Times file /nema-raid/www/mirex/results/2011/ams/audiosim.runtime.csv not found