Difference between revisions of "2011:Query-by-Tapping Results"
 (→Task 1b Overall Results)  | 
				 (→Task 2 Overall Results)  | 
				||
| Line 99: | Line 99: | ||
=====Task 2 Overall Results=====  | =====Task 2 Overall Results=====  | ||
| − | <csv>2011/qbt/  | + | <csv>2011/qbt/qbtTask2MRR.csv</csv>  | 
====Task 2 Friedman's Test for Significant Differences====  | ====Task 2 Friedman's Test for Significant Differences====  | ||
Revision as of 10:07, 31 October 2011
Contents
Introduction
These are the results for the 2011 running of the Query-by-tappingn task. For background information about this task set please refer to the 2011:Query_by_Tapping page.
Task Descriptions
Task 1 Goto Task 1 Results: The first subtask is the same as last year. In this subtask, submitted systems take a symbolic sung query as input and return a list of songs from the test database. Mean reciprocal rank (MRR) of the ground truth, as well as the simple hit(1)/miss(0) counting, is calculated over the top 10 returns. Two data sets are used:
- Jang's Dataset Roger Jang's MIR-QBT: This dataset contains both wav files (recorded via microphone) and onset files (human-labeled onset time). 136 ground truth songs with 890 queries.
 - Hsiao's Dataset Show Hsiao's QBT_symbolic: This dataset contains only onset files (obtained from the user's tapping on keyboard). 143 ground truth songs with 410 queries.
 
Task 2 Goto Task 2 Results:The second subtask is the same as last year too. In this subtask, submitted systems take a wave-file sung query as input and return a list of songs from the test database. Mean reciprocal rank (MRR) of the ground truth, as well as the simple hit(1)/miss(0) counting, is calculated over the top 10 returns. Only Roger Jang's data http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/MIR-QBT.rar MIR-QBT] is used as the other dataset has no wave files.
General Legend
Team ID
| Sub code | Submission name | Abstract | Contributors | 
|---|---|---|---|
| CJ1 | QBT | ChunTa Chen, Roger Jang | 
Task 1 Results
Task 1a, Jang's Dataset Results
Task 1a Overall Results
| CJ1 | |
|---|---|
| 1 | 0.846 | 
| 2 | 1.000 | 
| 3 | 1.000 | 
| 4 | 1.000 | 
| 5 | 1.000 | 
| 6 | 0.271 | 
| 7 | 1.000 | 
| 8 | 0.750 | 
| 9 | 0.000 | 
| 10 | 0.200 | 
| 11 | 0.625 | 
| 12 | 0.750 | 
| 13 | 0.250 | 
| 14 | 0.875 | 
| 15 | 1.000 | 
| 16 | 0.349 | 
| 17 | 0.667 | 
| 18 | 0.701 | 
| 19 | 0.250 | 
| 20 | 1.000 | 
| 21 | 0.250 | 
| 22 | 0.750 | 
| 23 | 0.000 | 
| 24 | 1.000 | 
| 25 | 0.873 | 
| 26 | 0.000 | 
| 27 | 0.379 | 
| 28 | 0.833 | 
| 29 | 1.000 | 
| 30 | 0.600 | 
| 31 | 0.143 | 
| 32 | 0.778 | 
| 33 | 0.238 | 
| 34 | 0.850 | 
| 35 | 1.000 | 
| 36 | 0.333 | 
| 37 | 0.000 | 
| 38 | 1.000 | 
| 39 | 0.571 | 
| 40 | 0.929 | 
| 41 | 0.583 | 
| 42 | 1.000 | 
| 43 | 0.700 | 
| 44 | 0.563 | 
| 45 | 0.050 | 
| 46 | 1.000 | 
| 47 | 0.375 | 
| 48 | 0.333 | 
| 49 | 0.625 | 
| 50 | 0.500 | 
| 51 | 0.222 | 
| 52 | 1.000 | 
| 53 | 0.367 | 
| 54 | 1.000 | 
| 55 | 0.538 | 
| 56 | 1.000 | 
| 57 | 0.850 | 
| 58 | 1.000 | 
| 59 | 0.020 | 
| 60 | 0.112 | 
| 61 | 0.955 | 
| 62 | 1.000 | 
| 63 | 0.100 | 
| 64 | 0.286 | 
| 65 | 1.000 | 
| 66 | 1.000 | 
| 67 | 0.000 | 
| 68 | 0.472 | 
| 69 | 0.641 | 
| 70 | 0.500 | 
| 71 | 0.000 | 
| 72 | 0.667 | 
| 73 | 0.810 | 
| 74 | 1.000 | 
| 75 | 0.833 | 
| 76 | 0.875 | 
| 77 | 0.000 | 
| 78 | 0.000 | 
| 79 | 0.375 | 
| 80 | 0.667 | 
| 81 | 0.167 | 
| 82 | 1.000 | 
| 83 | 1.000 | 
| 84 | 1.000 | 
| 85 | 0.390 | 
| 86 | 1.000 | 
| 87 | 0.308 | 
| 88 | 1.000 | 
| 89 | 0.733 | 
| 90 | 0.000 | 
| 91 | 1.000 | 
| 92 | 0.125 | 
| 93 | 0.583 | 
| 94 | 0.167 | 
| 95 | 0.891 | 
| 96 | 1.000 | 
| 97 | 1.000 | 
| 98 | 0.500 | 
| 99 | 0.797 | 
| 100 | 0.625 | 
| 101 | 0.052 | 
| 102 | 0.875 | 
| 103 | 1.000 | 
| 104 | 0.905 | 
| 105 | 0.907 | 
| 106 | 0.466 | 
| 107 | 0.423 | 
| 108 | 0.438 | 
| 109 | 0.819 | 
| 110 | 1.000 | 
| 111 | 1.000 | 
| 112 | 0.463 | 
| 113 | 0.583 | 
| 114 | 0.507 | 
| 115 | 0.250 | 
| 116 | 0.500 | 
| 117 | 0.375 | 
| 118 | 0.000 | 
| 119 | 0.333 | 
| 120 | 0.667 | 
| 121 | 0.333 | 
| 122 | 0.000 | 
| 123 | 0.333 | 
| 124 | 0.333 | 
| 125 | 0.117 | 
| 126 | 0.000 | 
| 127 | 1.000 | 
| 128 | 0.667 | 
| 129 | 0.500 | 
| 130 | 0.167 | 
| 131 | 0.500 | 
| 132 | 0.500 | 
| 133 | 0.100 | 
| 134 | 1.000 | 
| 135 | 0.333 | 
| 136 | 0.333 | 
Task 1a Friedman's Test for Significant Differences
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups. Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);
Simple Hit/Miss Count: file /nema-raid/www/mirex/results/2011/qbt/friedman/QbtTask1aSimpleByGroup.friedman.tukeyKramerHSD.csv not found
MRR Method: file /nema-raid/www/mirex/results/2011/qbt/friedman/QbtTask1aMrrByGroup.friedman.tukeyKramerHSD.csv not found
Task 1a Summary Results by Query Group
Simple Hit/Miss Counting file /nema-raid/www/mirex/results/2011/qbt/QbtTask1aSimpleByGroup.csv not found
MRR Method file /nema-raid/www/mirex/results/2011/qbt/QbtTask1aMrrByGroup.csv not found
Task 1a Summary Results by Query
Simple Hit/Miss Counting [1]
MRR Method [2]
Task 1b, Hsiao's Dataset Results
Task 1b Overall Results
| CJ1 | |
|---|---|
| 1 | 0.50 | 
| 2 | NaN | 
| 3 | 0.50 | 
| 4 | 0.42 | 
| 5 | 1.00 | 
| 6 | 0.50 | 
| 7 | 1.00 | 
| 8 | 1.00 | 
| 9 | 1.00 | 
| 10 | 0.33 | 
| 11 | 1.00 | 
| 12 | 0.12 | 
| 13 | 0.75 | 
| 14 | 0.00 | 
| 15 | NaN | 
| 16 | 1.00 | 
| 17 | 1.00 | 
| 18 | 0.33 | 
| 19 | 0.84 | 
| 20 | 0.33 | 
| 21 | 0.58 | 
| 22 | 1.00 | 
| 23 | 0.71 | 
| 24 | 0.33 | 
| 25 | 0.00 | 
| 26 | 0.00 | 
| 27 | 0.27 | 
| 28 | NaN | 
| 29 | 1.00 | 
| 30 | 1.00 | 
| 31 | NaN | 
| 32 | 1.00 | 
| 33 | 0.25 | 
| 34 | 0.21 | 
| 35 | NaN | 
| 36 | 0.00 | 
| 37 | 0.00 | 
| 38 | 0.03 | 
| 39 | 0.50 | 
| 40 | 0.00 | 
| 41 | 0.33 | 
| 42 | 0.50 | 
| 43 | 0.48 | 
| 44 | 0.00 | 
| 45 | 0.04 | 
| 46 | 0.14 | 
| 47 | 0.33 | 
| 48 | 1.00 | 
| 49 | 0.20 | 
| 50 | 1.00 | 
| 51 | 0.00 | 
| 52 | 0.67 | 
| 53 | 0.69 | 
| 54 | 0.08 | 
| 55 | 0.00 | 
| 56 | 0.25 | 
| 57 | 0.42 | 
| 58 | NaN | 
| 59 | 1.00 | 
| 60 | 0.32 | 
| 61 | 0.27 | 
| 62 | 0.00 | 
| 63 | 0.67 | 
| 64 | NaN | 
| 65 | 0.42 | 
| 66 | NaN | 
| 67 | 0.00 | 
| 68 | NaN | 
| 69 | 0.04 | 
| 70 | 0.00 | 
| 71 | NaN | 
| 72 | 1.00 | 
| 73 | 0.50 | 
| 74 | NaN | 
| 75 | 1.00 | 
| 76 | 0.05 | 
| 77 | NaN | 
| 78 | 0.67 | 
| 79 | 0.03 | 
| 80 | 0.00 | 
| 81 | 0.00 | 
| 82 | 0.00 | 
| 83 | 1.00 | 
| 84 | 0.56 | 
| 85 | 0.00 | 
| 86 | 1.00 | 
| 87 | 1.00 | 
| 88 | 0.40 | 
| 89 | 0.21 | 
| 90 | 0.17 | 
| 91 | 0.75 | 
| 92 | 1.00 | 
| 93 | 0.10 | 
| 94 | 0.00 | 
| 95 | 0.75 | 
| 96 | 1.00 | 
| 97 | 0.00 | 
| 98 | 0.67 | 
| 99 | 0.65 | 
| 100 | 0.62 | 
| 101 | 0.90 | 
| 102 | 1.00 | 
| 103 | NaN | 
| 104 | 1.00 | 
| 105 | 0.71 | 
| 106 | 0.00 | 
| 107 | NaN | 
| 108 | 1.00 | 
| 109 | 0.25 | 
| 110 | 0.00 | 
| 111 | 0.20 | 
| 112 | 0.17 | 
| 113 | 1.00 | 
| 114 | 0.25 | 
| 115 | NaN | 
| 116 | 0.00 | 
| 117 | 1.00 | 
| 118 | 0.83 | 
| 119 | 0.00 | 
| 120 | 0.17 | 
| 121 | 0.19 | 
| 122 | 0.38 | 
| 123 | 0.33 | 
| 124 | 0.90 | 
| 125 | 0.00 | 
| 126 | 1.00 | 
| 127 | 0.50 | 
| 128 | 0.43 | 
| 129 | 1.00 | 
| 130 | 0.00 | 
| 131 | 0.00 | 
| 132 | 1.00 | 
| 133 | 0.00 | 
| 134 | 0.00 | 
| 135 | 0.71 | 
| 136 | 0.25 | 
| 137 | 1.00 | 
| 138 | 0.10 | 
| 139 | 0.23 | 
| 140 | 0.00 | 
| 141 | 0.21 | 
| 142 | 0.44 | 
| 143 | 1.00 | 
Task 1b Friedman's Test for Significant Differences
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups. Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);
Simple Hit/Miss Count: file /nema-raid/www/mirex/results/2011/qbt/friedman/QbtTask1bSimpleByGroup.friedman.tukeyKramerHSD.csv not found
MRR Method: file /nema-raid/www/mirex/results/2011/qbt/friedman/QbtTask1bMrrByGroup.friedman.tukeyKramerHSD.csv not found
Task 1b Summary Results by Query Group
Simple Hit/Miss Counting file /nema-raid/www/mirex/results/2011/qbt/QbtTask1bSimpleByGroup.csv not found
MRR Method file /nema-raid/www/mirex/results/2011/qbt/QbtTask1bMrrByGroup.csv not found
Task 1b Summary Results by Query
Simple Hit/Miss Counting [3]
MRR Method [4]
Task 2 Results
Task 2 Overall Results
| CJ1 | |
|---|---|
| 1 | 0.846 | 
| 2 | 1.000 | 
| 3 | 1.000 | 
| 4 | 1.000 | 
| 5 | 1.000 | 
| 6 | 0.271 | 
| 7 | 1.000 | 
| 8 | 0.750 | 
| 9 | 0.250 | 
| 10 | 0.200 | 
| 11 | 0.625 | 
| 12 | 0.750 | 
| 13 | 0.250 | 
| 14 | 0.875 | 
| 15 | 1.000 | 
| 16 | 0.334 | 
| 17 | 0.689 | 
| 18 | 0.641 | 
| 19 | 0.250 | 
| 20 | 1.000 | 
| 21 | 0.250 | 
| 22 | 0.750 | 
| 23 | 0.000 | 
| 24 | 1.000 | 
| 25 | 0.871 | 
| 26 | 0.000 | 
| 27 | 0.394 | 
| 28 | 0.833 | 
| 29 | 1.000 | 
| 30 | 0.600 | 
| 31 | 0.143 | 
| 32 | 0.778 | 
| 33 | 0.202 | 
| 34 | 0.767 | 
| 35 | 1.000 | 
| 36 | 0.400 | 
| 37 | 0.000 | 
| 38 | 1.000 | 
| 39 | 0.571 | 
| 40 | 0.869 | 
| 41 | 0.583 | 
| 42 | 1.000 | 
| 43 | 0.700 | 
| 44 | 0.563 | 
| 45 | 0.050 | 
| 46 | 1.000 | 
| 47 | 0.500 | 
| 48 | 0.333 | 
| 49 | 0.625 | 
| 50 | 0.500 | 
| 51 | 0.222 | 
| 52 | 1.000 | 
| 53 | 0.367 | 
| 54 | 1.000 | 
| 55 | 0.509 | 
| 56 | 1.000 | 
| 57 | 0.867 | 
| 58 | 1.000 | 
| 59 | 0.000 | 
| 60 | 0.124 | 
| 61 | 0.955 | 
| 62 | 0.917 | 
| 63 | 0.100 | 
| 64 | 0.286 | 
| 65 | 1.000 | 
| 66 | 1.000 | 
| 67 | 0.000 | 
| 68 | 0.435 | 
| 69 | 0.611 | 
| 70 | 0.500 | 
| 71 | 0.000 | 
| 72 | 0.667 | 
| 73 | 0.810 | 
| 74 | 1.000 | 
| 75 | 0.833 | 
| 76 | 0.875 | 
| 77 | 0.000 | 
| 78 | 0.000 | 
| 79 | 0.375 | 
| 80 | 0.667 | 
| 81 | 0.167 | 
| 82 | 1.000 | 
| 83 | 1.000 | 
| 84 | 1.000 | 
| 85 | 0.376 | 
| 86 | 1.000 | 
| 87 | 0.308 | 
| 88 | 1.000 | 
| 89 | 0.733 | 
| 90 | 0.000 | 
| 91 | 1.000 | 
| 92 | 0.125 | 
| 93 | 0.583 | 
| 94 | 0.250 | 
| 95 | 0.893 | 
| 96 | 1.000 | 
| 97 | 1.000 | 
| 98 | 0.500 | 
| 99 | 0.750 | 
| 100 | 0.625 | 
| 101 | 0.064 | 
| 102 | 0.875 | 
| 103 | 1.000 | 
| 104 | 0.866 | 
| 105 | 0.873 | 
| 106 | 0.443 | 
| 107 | 0.437 | 
| 108 | 0.438 | 
| 109 | 0.735 | 
| 110 | 0.867 | 
| 111 | 1.000 | 
| 112 | 0.588 | 
| 113 | 0.493 | 
| 114 | 0.373 | 
| 115 | 0.400 | 
| 116 | 0.500 | 
| 117 | 0.375 | 
| 118 | 0.000 | 
| 119 | 0.333 | 
| 120 | 0.667 | 
| 121 | 0.667 | 
| 122 | 0.000 | 
| 123 | 0.333 | 
| 124 | 0.333 | 
| 125 | 0.120 | 
| 126 | 0.000 | 
| 127 | 1.000 | 
| 128 | 0.667 | 
| 129 | 0.500 | 
| 130 | 0.500 | 
| 131 | 1.000 | 
| 132 | 0.500 | 
| 133 | 0.100 | 
| 134 | 1.000 | 
| 135 | 1.000 | 
| 136 | 0.000 | 
Task 2 Friedman's Test for Significant Differences
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups. Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);
Simple Hit/Miss Count: file /nema-raid/www/mirex/results/2011/qbt/friedman/QbtTask2SimpleByGroup.friedman.tukeyKramerHSD.csv not found
MRR Method: file /nema-raid/www/mirex/results/2011/qbt/friedman/QbtTask2MrrByGroup.friedman.tukeyKramerHSD.csv not found
Task 2 Summary Results by Query Group
Simple Hit/Miss Counting file /nema-raid/www/mirex/results/2011/qbt/QbtTask2SimpleByGroup.csv not found
MRR Method file /nema-raid/www/mirex/results/2011/qbt/QbtTask2MrrByGroup.csv not found
Task 2 Summary Results by Query
Simple Hit/Miss Counting [5]
MRR Method [6]
Runtime Results
file /nema-raid/www/mirex/results/2011/qbt/qbtRunTime.csv not found