Difference between revisions of "2010:Query-by-Tapping Results"
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| QBT simbals || style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2010/HRFA1.pdf PDF] || [http://dept-info.labri.fr/~hanna Pierre Hanna], [http://simbals.labri.fr Matthias Robine], [http://simbals.labri.fr Pascal Ferraro], [http://simbals.labri.fr Julien Allali] | | QBT simbals || style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2010/HRFA1.pdf PDF] || [http://dept-info.labri.fr/~hanna Pierre Hanna], [http://simbals.labri.fr Matthias Robine], [http://simbals.labri.fr Pascal Ferraro], [http://simbals.labri.fr Julien Allali] | ||
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− | ! | + | ! ML |
| QBT-M&O || style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2010/ML4.pdf PDF] || [http://www-sipl.technion.ac.il/ Merabi Mirel], [http://www-sipl.technion.ac.il/ Oron Levy] | | QBT-M&O || style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2010/ML4.pdf PDF] || [http://www-sipl.technion.ac.il/ Merabi Mirel], [http://www-sipl.technion.ac.il/ Oron Levy] | ||
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===Task 1 Results=== | ===Task 1 Results=== | ||
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[[Image:2010QbtTask1aMrrByGroup.friedman.tukeyKramerHSD.png|500px]] | [[Image:2010QbtTask1aMrrByGroup.friedman.tukeyKramerHSD.png|500px]] |
Latest revision as of 14:47, 3 August 2010
Contents
Introduction
These are the results for the 2010 running of the Query-by-tappingn task. For background information about this task set please refer to the 2010: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 |
---|---|---|---|
HRFA1 | QBT simbals | Pierre Hanna, Matthias Robine, Pascal Ferraro, Julien Allali | |
ML | QBT-M&O | Merabi Mirel, Oron Levy |
Task 1 Results
Task 1a, Jang's Dataset Results
Task 1a Overall Results
HAFR | ML | |
---|---|---|
Simple Count | 0.875 | 0.876 |
MRR | 0.769 | 0.798 |
Total Count | 890 | 890 |
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:
TeamID | TeamID | Lowerbound | Mean | Upperbound | Significance |
---|---|---|---|---|---|
HAFR | ML | -0.0641 | 0.0368 | 0.1376 | FALSE |
MRR Method:
TeamID | TeamID | Lowerbound | Mean | Upperbound | Significance |
---|---|---|---|---|---|
ML | HAFR | -0.0260 | 0.1029 | 0.2318 | FALSE |
Task 1a Summary Results by Query Group
Simple Hit/Miss Counting
HAFR | ML | |
---|---|---|
1 | 0.92 | 1.00 |
2 | 1.00 | 1.00 |
3 | 1.00 | 1.00 |
4 | 0.00 | 1.00 |
5 | 1.00 | 1.00 |
6 | 1.00 | 0.75 |
7 | 1.00 | 1.00 |
8 | 1.00 | 1.00 |
9 | 1.00 | 1.00 |
10 | 1.00 | 1.00 |
11 | 1.00 | 0.50 |
12 | 1.00 | 1.00 |
13 | 1.00 | 1.00 |
14 | 1.00 | 1.00 |
15 | 1.00 | 1.00 |
16 | 1.00 | 1.00 |
17 | 0.93 | 0.93 |
18 | 0.85 | 0.77 |
19 | 0.50 | 0.38 |
20 | 1.00 | 1.00 |
21 | 1.00 | 0.50 |
22 | 0.50 | 1.00 |
23 | 0.00 | 0.00 |
24 | 1.00 | 1.00 |
25 | 1.00 | 1.00 |
26 | 0.00 | 0.00 |
27 | 0.94 | 1.00 |
28 | 1.00 | 1.00 |
29 | 1.00 | 1.00 |
30 | 0.75 | 0.67 |
31 | 1.00 | 1.00 |
32 | 1.00 | 1.00 |
33 | 0.74 | 0.88 |
34 | 0.92 | 0.83 |
35 | 1.00 | 1.00 |
36 | 1.00 | 1.00 |
37 | 1.00 | 0.00 |
38 | 1.00 | 1.00 |
39 | 1.00 | 1.00 |
40 | 1.00 | 1.00 |
41 | 0.75 | 0.83 |
42 | 1.00 | 1.00 |
43 | 1.00 | 0.90 |
44 | 0.75 | 0.75 |
45 | 1.00 | 1.00 |
46 | 1.00 | 1.00 |
47 | 1.00 | 0.50 |
48 | 1.00 | 0.67 |
49 | 1.00 | 1.00 |
50 | 1.00 | 1.00 |
51 | 0.80 | 0.40 |
52 | 1.00 | 1.00 |
53 | 0.60 | 0.60 |
54 | 1.00 | 1.00 |
55 | 0.98 | 1.00 |
56 | 1.00 | 1.00 |
57 | 0.80 | 1.00 |
58 | 1.00 | 1.00 |
59 | 0.60 | 0.20 |
60 | 1.00 | 0.57 |
61 | 1.00 | 1.00 |
62 | 1.00 | 1.00 |
63 | 1.00 | 1.00 |
64 | 0.50 | 0.75 |
65 | 1.00 | 1.00 |
66 | 1.00 | 1.00 |
67 | 1.00 | 1.00 |
68 | 0.78 | 0.78 |
69 | 0.82 | 0.85 |
70 | 1.00 | 1.00 |
71 | 0.00 | 1.00 |
72 | 0.92 | 0.83 |
73 | 0.86 | 0.93 |
74 | 1.00 | 1.00 |
75 | 1.00 | 0.83 |
76 | 1.00 | 1.00 |
77 | 0.00 | 0.00 |
78 | 0.00 | 1.00 |
79 | 0.50 | 1.00 |
80 | 1.00 | 1.00 |
81 | 1.00 | 1.00 |
82 | 1.00 | 1.00 |
83 | 1.00 | 1.00 |
84 | 1.00 | 1.00 |
85 | 0.86 | 0.71 |
86 | 1.00 | 1.00 |
87 | 0.75 | 0.67 |
88 | 1.00 | 1.00 |
89 | 0.67 | 1.00 |
90 | 1.00 | 0.50 |
91 | 1.00 | 1.00 |
92 | 0.25 | 0.25 |
93 | 1.00 | 1.00 |
94 | 0.67 | 0.83 |
95 | 1.00 | 1.00 |
96 | 1.00 | 1.00 |
97 | 1.00 | 1.00 |
98 | 0.50 | 1.00 |
99 | 0.88 | 0.88 |
100 | 1.00 | 1.00 |
101 | 1.00 | 0.83 |
102 | 1.00 | 0.88 |
103 | 1.00 | 1.00 |
104 | 1.00 | 1.00 |
105 | 1.00 | 0.96 |
106 | 0.68 | 0.77 |
107 | 0.94 | 0.94 |
108 | 0.56 | 0.75 |
109 | 0.81 | 0.88 |
110 | 1.00 | 1.00 |
111 | 1.00 | 0.78 |
112 | 1.00 | 1.00 |
113 | 1.00 | 1.00 |
114 | 1.00 | 1.00 |
115 | 0.60 | 0.60 |
116 | 0.75 | 0.50 |
117 | 1.00 | 1.00 |
118 | 1.00 | 1.00 |
119 | 0.67 | 0.67 |
120 | 0.67 | 0.67 |
121 | 0.67 | 0.33 |
122 | 0.67 | 0.33 |
123 | 0.33 | 0.67 |
124 | 0.33 | 0.33 |
125 | 0.33 | 1.00 |
126 | 0.67 | 0.67 |
127 | 1.00 | 1.00 |
128 | 0.67 | 0.67 |
129 | 0.50 | 0.50 |
130 | 0.50 | 0.50 |
131 | 1.00 | 1.00 |
132 | 1.00 | 1.00 |
133 | 1.00 | 0.00 |
134 | 1.00 | 1.00 |
135 | 1.00 | 1.00 |
136 | 1.00 | 1.00 |
MRR Method
HAFR | ML | |
---|---|---|
1 | 0.89 | 1.00 |
2 | 1.00 | 1.00 |
3 | 1.00 | 1.00 |
4 | 0.00 | 1.00 |
5 | 1.00 | 1.00 |
6 | 0.88 | 0.75 |
7 | 1.00 | 1.00 |
8 | 0.75 | 1.00 |
9 | 0.25 | 1.00 |
10 | 1.00 | 1.00 |
11 | 0.60 | 0.50 |
12 | 1.00 | 1.00 |
13 | 1.00 | 1.00 |
14 | 0.94 | 1.00 |
15 | 1.00 | 1.00 |
16 | 0.81 | 0.80 |
17 | 0.93 | 0.79 |
18 | 0.64 | 0.72 |
19 | 0.30 | 0.31 |
20 | 1.00 | 1.00 |
21 | 1.00 | 0.50 |
22 | 0.50 | 0.32 |
23 | 0.00 | 0.00 |
24 | 0.50 | 0.50 |
25 | 0.91 | 1.00 |
26 | 0.00 | 0.00 |
27 | 0.76 | 0.91 |
28 | 1.00 | 1.00 |
29 | 1.00 | 1.00 |
30 | 0.75 | 0.58 |
31 | 0.33 | 0.20 |
32 | 1.00 | 0.83 |
33 | 0.72 | 0.72 |
34 | 0.92 | 0.83 |
35 | 1.00 | 1.00 |
36 | 0.78 | 0.81 |
37 | 1.00 | 0.00 |
38 | 1.00 | 1.00 |
39 | 1.00 | 1.00 |
40 | 0.96 | 1.00 |
41 | 0.58 | 0.46 |
42 | 1.00 | 1.00 |
43 | 0.88 | 0.83 |
44 | 0.62 | 0.75 |
45 | 0.42 | 0.42 |
46 | 0.71 | 1.00 |
47 | 0.57 | 0.50 |
48 | 1.00 | 0.42 |
49 | 1.00 | 1.00 |
50 | 0.44 | 0.78 |
51 | 0.63 | 0.30 |
52 | 1.00 | 1.00 |
53 | 0.60 | 0.37 |
54 | 0.50 | 1.00 |
55 | 0.96 | 1.00 |
56 | 1.00 | 1.00 |
57 | 0.80 | 0.90 |
58 | 1.00 | 1.00 |
59 | 0.42 | 0.05 |
60 | 0.59 | 0.57 |
61 | 1.00 | 1.00 |
62 | 0.96 | 0.96 |
63 | 0.11 | 0.12 |
64 | 0.28 | 0.62 |
65 | 1.00 | 1.00 |
66 | 1.00 | 1.00 |
67 | 1.00 | 1.00 |
68 | 0.55 | 0.69 |
69 | 0.67 | 0.77 |
70 | 0.78 | 0.79 |
71 | 0.00 | 1.00 |
72 | 0.82 | 0.70 |
73 | 0.82 | 0.83 |
74 | 0.80 | 1.00 |
75 | 0.85 | 0.83 |
76 | 1.00 | 0.92 |
77 | 0.00 | 0.00 |
78 | 0.00 | 1.00 |
79 | 0.38 | 0.67 |
80 | 1.00 | 1.00 |
81 | 1.00 | 1.00 |
82 | 1.00 | 1.00 |
83 | 0.88 | 1.00 |
84 | 0.50 | 1.00 |
85 | 0.16 | 0.71 |
86 | 1.00 | 1.00 |
87 | 0.69 | 0.49 |
88 | 1.00 | 1.00 |
89 | 0.42 | 1.00 |
90 | 1.00 | 0.25 |
91 | 1.00 | 1.00 |
92 | 0.12 | 0.25 |
93 | 1.00 | 1.00 |
94 | 0.29 | 0.62 |
95 | 0.94 | 0.83 |
96 | 1.00 | 1.00 |
97 | 1.00 | 1.00 |
98 | 0.50 | 0.55 |
99 | 0.79 | 0.88 |
100 | 1.00 | 1.00 |
101 | 0.57 | 0.83 |
102 | 1.00 | 0.88 |
103 | 1.00 | 1.00 |
104 | 1.00 | 0.98 |
105 | 0.94 | 0.94 |
106 | 0.59 | 0.71 |
107 | 0.68 | 0.82 |
108 | 0.46 | 0.48 |
109 | 0.65 | 0.88 |
110 | 0.97 | 1.00 |
111 | 0.82 | 0.78 |
112 | 0.94 | 1.00 |
113 | 1.00 | 1.00 |
114 | 0.80 | 0.73 |
115 | 0.31 | 0.50 |
116 | 0.54 | 0.38 |
117 | 1.00 | 1.00 |
118 | 1.00 | 1.00 |
119 | 0.67 | 0.67 |
120 | 0.67 | 0.67 |
121 | 0.40 | 0.33 |
122 | 0.50 | 0.04 |
123 | 0.33 | 0.67 |
124 | 0.33 | 0.33 |
125 | 0.17 | 0.44 |
126 | 0.67 | 0.67 |
127 | 1.00 | 1.00 |
128 | 0.67 | 0.67 |
129 | 0.25 | 0.25 |
130 | 0.50 | 0.50 |
131 | 1.00 | 1.00 |
132 | 1.00 | 1.00 |
133 | 0.14 | 0.00 |
134 | 1.00 | 1.00 |
135 | 1.00 | 1.00 |
136 | 1.00 | 1.00 |
Task 1a Summary Results by Query
Simple Hit/Miss Counting [1]
MRR Method [2]
Task 1b, Hsiao's Dataset Results
Task 1b Overall Results
HAFR | ML | |
---|---|---|
Simple Count | 0.88 | 0.85 |
MRR | 0.70 | 0.71 |
Total Count | 890.00 | 890.00 |
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:
TeamID | TeamID | Lowerbound | Mean | Upperbound | Significance |
---|---|---|---|---|---|
HAFR | ML | -0.0419 | 0.0280 | 0.0979 | FALSE |
MRR Method:
TeamID | TeamID | Lowerbound | Mean | Upperbound | Significance |
---|---|---|---|---|---|
ML | HAFR | -0.1270 | -0.0140 | 0.0990 | FALSE |
Task 1b Summary Results by Query Group
Simple Hit/Miss Counting
HAFR | ML | |
---|---|---|
1 | 1.00 | 1.00 |
2 | NaN | NaN |
3 | 1.00 | 1.00 |
4 | 1.00 | 1.00 |
5 | 1.00 | 1.00 |
6 | 1.00 | 1.00 |
7 | 1.00 | 1.00 |
8 | 1.00 | 1.00 |
9 | 1.00 | 1.00 |
10 | 0.67 | 1.00 |
11 | 1.00 | 1.00 |
12 | 1.00 | 0.75 |
13 | 1.00 | 1.00 |
14 | 1.00 | 1.00 |
15 | NaN | NaN |
16 | 1.00 | 1.00 |
17 | 1.00 | 1.00 |
18 | 1.00 | 1.00 |
19 | 1.00 | 1.00 |
20 | 1.00 | 1.00 |
21 | 1.00 | 1.00 |
22 | 1.00 | 1.00 |
23 | 0.83 | 1.00 |
24 | 0.67 | 0.67 |
25 | 1.00 | 0.00 |
26 | 0.00 | 0.00 |
27 | 1.00 | 1.00 |
28 | NaN | NaN |
29 | 1.00 | 1.00 |
30 | 1.00 | 1.00 |
31 | NaN | NaN |
32 | 1.00 | 1.00 |
33 | 1.00 | 1.00 |
34 | 1.00 | 1.00 |
35 | NaN | NaN |
36 | 0.00 | 0.00 |
37 | 0.00 | 0.50 |
38 | 0.86 | 1.00 |
39 | 1.00 | 1.00 |
40 | 0.50 | 0.00 |
41 | 1.00 | 1.00 |
42 | 1.00 | 0.33 |
43 | 1.00 | 1.00 |
44 | 1.00 | 1.00 |
45 | 1.00 | 1.00 |
46 | 1.00 | 1.00 |
47 | 1.00 | 1.00 |
48 | 1.00 | 1.00 |
49 | 0.67 | 0.67 |
50 | 1.00 | 1.00 |
51 | 1.00 | 0.00 |
52 | 1.00 | 1.00 |
53 | 0.89 | 0.89 |
54 | 1.00 | 1.00 |
55 | 1.00 | 0.00 |
56 | 0.50 | 1.00 |
57 | 1.00 | 1.00 |
58 | NaN | NaN |
59 | 1.00 | 1.00 |
60 | 1.00 | 1.00 |
61 | 0.75 | 0.75 |
62 | 0.50 | 1.00 |
63 | 1.00 | 1.00 |
64 | NaN | NaN |
65 | 1.00 | 1.00 |
66 | NaN | NaN |
67 | 1.00 | 1.00 |
68 | NaN | NaN |
69 | 1.00 | 1.00 |
70 | 1.00 | 0.20 |
71 | NaN | NaN |
72 | 1.00 | 1.00 |
73 | 1.00 | 1.00 |
74 | NaN | NaN |
75 | 1.00 | 1.00 |
76 | 1.00 | 0.60 |
77 | NaN | NaN |
78 | 1.00 | 1.00 |
79 | 1.00 | 1.00 |
80 | 1.00 | 1.00 |
81 | 1.00 | 0.00 |
82 | 1.00 | 0.00 |
83 | 1.00 | 1.00 |
84 | 1.00 | 1.00 |
85 | 0.00 | 0.00 |
86 | 1.00 | 1.00 |
87 | 1.00 | 0.75 |
88 | 0.60 | 1.00 |
89 | 1.00 | 1.00 |
90 | 1.00 | 1.00 |
91 | 1.00 | 1.00 |
92 | 1.00 | 1.00 |
93 | 1.00 | 1.00 |
94 | 0.75 | 1.00 |
95 | 0.67 | 0.67 |
96 | 1.00 | 1.00 |
97 | 0.00 | 0.00 |
98 | 1.00 | 1.00 |
99 | 1.00 | 1.00 |
100 | 1.00 | 1.00 |
101 | 1.00 | 1.00 |
102 | 1.00 | 1.00 |
103 | NaN | NaN |
104 | 1.00 | 1.00 |
105 | 1.00 | 1.00 |
106 | 0.33 | 0.00 |
107 | NaN | NaN |
108 | 1.00 | 1.00 |
109 | 1.00 | 1.00 |
110 | 1.00 | 1.00 |
111 | 1.00 | 1.00 |
112 | 1.00 | 1.00 |
113 | 1.00 | 1.00 |
114 | 0.50 | 1.00 |
115 | NaN | NaN |
116 | 0.00 | 0.00 |
117 | 1.00 | 1.00 |
118 | 1.00 | 0.67 |
119 | 0.00 | 0.00 |
120 | 0.67 | 1.00 |
121 | 0.67 | 1.00 |
122 | 1.00 | 1.00 |
123 | 1.00 | 1.00 |
124 | 1.00 | 1.00 |
125 | 0.00 | 0.00 |
126 | 1.00 | 1.00 |
127 | 1.00 | 1.00 |
128 | 1.00 | 1.00 |
129 | 1.00 | 1.00 |
130 | 0.00 | 0.00 |
131 | 0.00 | 0.00 |
132 | 1.00 | 1.00 |
133 | 1.00 | 0.00 |
134 | 0.50 | 0.50 |
135 | 1.00 | 1.00 |
136 | 1.00 | 1.00 |
137 | 1.00 | 1.00 |
138 | 1.00 | 1.00 |
139 | 1.00 | 0.80 |
140 | 0.00 | 0.00 |
141 | 1.00 | 1.00 |
142 | 1.00 | 1.00 |
143 | 1.00 | 1.00 |
MRR Method
HAFR | ML | |
---|---|---|
1 | 1.00 | 1.00 |
2 | NaN | NaN |
3 | 0.83 | 0.88 |
4 | 0.75 | 0.75 |
5 | 1.00 | 1.00 |
6 | 0.50 | 0.50 |
7 | 1.00 | 1.00 |
8 | 1.00 | 1.00 |
9 | 1.00 | 1.00 |
10 | 0.50 | 0.61 |
11 | 1.00 | 1.00 |
12 | 0.81 | 0.75 |
13 | 1.00 | 1.00 |
14 | 0.42 | 0.75 |
15 | NaN | NaN |
16 | 1.00 | 1.00 |
17 | 1.00 | 1.00 |
18 | 1.00 | 1.00 |
19 | 1.00 | 1.00 |
20 | 1.00 | 1.00 |
21 | 1.00 | 1.00 |
22 | 1.00 | 1.00 |
23 | 0.47 | 1.00 |
24 | 0.67 | 0.67 |
25 | 0.75 | 0.00 |
26 | 0.00 | 0.00 |
27 | 0.67 | 0.50 |
28 | NaN | NaN |
29 | 1.00 | 1.00 |
30 | 1.00 | 1.00 |
31 | NaN | NaN |
32 | 0.50 | 1.00 |
33 | 0.56 | 0.50 |
34 | 0.61 | 0.67 |
35 | NaN | NaN |
36 | 0.00 | 0.00 |
37 | 0.00 | 0.10 |
38 | 0.26 | 0.93 |
39 | 1.00 | 1.00 |
40 | 0.07 | 0.00 |
41 | 1.00 | 1.00 |
42 | 0.83 | 0.17 |
43 | 0.75 | 0.46 |
44 | 0.42 | 0.75 |
45 | 0.56 | 0.69 |
46 | 1.00 | 1.00 |
47 | 1.00 | 1.00 |
48 | 1.00 | 1.00 |
49 | 0.14 | 0.21 |
50 | 1.00 | 1.00 |
51 | 0.12 | 0.00 |
52 | 1.00 | 1.00 |
53 | 0.83 | 0.89 |
54 | 0.37 | 0.23 |
55 | 1.00 | 0.00 |
56 | 0.25 | 1.00 |
57 | 0.90 | 1.00 |
58 | NaN | NaN |
59 | 0.50 | 0.50 |
60 | 0.62 | 0.62 |
61 | 0.75 | 0.62 |
62 | 0.50 | 0.31 |
63 | 0.67 | 0.83 |
64 | NaN | NaN |
65 | 0.49 | 0.46 |
66 | NaN | NaN |
67 | 0.20 | 0.75 |
68 | NaN | NaN |
69 | 0.85 | 0.69 |
70 | 0.41 | 0.20 |
71 | NaN | NaN |
72 | 1.00 | 0.75 |
73 | 1.00 | 1.00 |
74 | NaN | NaN |
75 | 1.00 | 1.00 |
76 | 0.85 | 0.13 |
77 | NaN | NaN |
78 | 0.83 | 0.67 |
79 | 0.58 | 0.75 |
80 | 0.33 | 1.00 |
81 | 0.35 | 0.00 |
82 | 0.50 | 0.00 |
83 | 1.00 | 1.00 |
84 | 0.62 | 1.00 |
85 | 0.00 | 0.00 |
86 | 1.00 | 1.00 |
87 | 1.00 | 0.62 |
88 | 0.43 | 1.00 |
89 | 0.69 | 0.85 |
90 | 0.78 | 0.50 |
91 | 1.00 | 0.88 |
92 | 1.00 | 1.00 |
93 | 1.00 | 1.00 |
94 | 0.16 | 0.33 |
95 | 0.67 | 0.67 |
96 | 1.00 | 1.00 |
97 | 0.00 | 0.00 |
98 | 0.75 | 1.00 |
99 | 1.00 | 1.00 |
100 | 1.00 | 1.00 |
101 | 1.00 | 0.87 |
102 | 1.00 | 1.00 |
103 | NaN | NaN |
104 | 1.00 | 1.00 |
105 | 0.33 | 1.00 |
106 | 0.11 | 0.00 |
107 | NaN | NaN |
108 | 1.00 | 1.00 |
109 | 0.33 | 0.33 |
110 | 0.10 | 0.50 |
111 | 0.50 | 0.33 |
112 | 0.78 | 0.73 |
113 | 1.00 | 1.00 |
114 | 0.17 | 0.56 |
115 | NaN | NaN |
116 | 0.00 | 0.00 |
117 | 0.75 | 0.75 |
118 | 0.67 | 0.33 |
119 | 0.00 | 0.00 |
120 | 0.50 | 0.58 |
121 | 0.67 | 0.70 |
122 | 0.88 | 0.67 |
123 | 0.78 | 0.49 |
124 | 0.70 | 0.60 |
125 | 0.00 | 0.00 |
126 | 1.00 | 1.00 |
127 | 0.88 | 0.62 |
128 | 0.78 | 1.00 |
129 | 1.00 | 1.00 |
130 | 0.00 | 0.00 |
131 | 0.00 | 0.00 |
132 | 0.75 | 1.00 |
133 | 0.48 | 0.00 |
134 | 0.06 | 0.17 |
135 | 1.00 | 1.00 |
136 | 1.00 | 1.00 |
137 | 1.00 | 1.00 |
138 | 0.38 | 0.33 |
139 | 0.44 | 0.43 |
140 | 0.00 | 0.00 |
141 | 0.69 | 1.00 |
142 | 0.50 | 0.67 |
143 | 1.00 | 1.00 |
Task 1b Summary Results by Query
Simple Hit/Miss Counting [3]
MRR Method [4]
Task 2 Results
Task 2 Overall Results
HAFR | ML | |
---|---|---|
Simple Count | 0.787 | 0.872 |
MRR | 0.664 | 0.781 |
Total Count | 890 | 890 |
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:
TeamID | TeamID | Lowerbound | Mean | Upperbound | Significance |
---|---|---|---|---|---|
ML | HAFR | 0.0162 | 0.1250 | 0.2338 | TRUE |
MRR Method:
TeamID | TeamID | Lowerbound | Mean | Upperbound | Significance |
---|---|---|---|---|---|
ML | HAFR | 0.2316 | 0.3750 | 0.5184 | TRUE |
Task 2 Summary Results by Query Group
Simple Hit/Miss Counting
HAFR | ML | |
---|---|---|
1 | 0.69 | 1.00 |
2 | 1.00 | 1.00 |
3 | 1.00 | 1.00 |
4 | 0.00 | 1.00 |
5 | 1.00 | 1.00 |
6 | 1.00 | 0.75 |
7 | 1.00 | 1.00 |
8 | 1.00 | 1.00 |
9 | 1.00 | 1.00 |
10 | 1.00 | 1.00 |
11 | 1.00 | 1.00 |
12 | 1.00 | 1.00 |
13 | 1.00 | 1.00 |
14 | 1.00 | 1.00 |
15 | 1.00 | 1.00 |
16 | 0.90 | 1.00 |
17 | 0.93 | 0.87 |
18 | 0.61 | 0.77 |
19 | 0.75 | 0.38 |
20 | 1.00 | 1.00 |
21 | 1.00 | 0.50 |
22 | 1.00 | 1.00 |
23 | 0.00 | 0.00 |
24 | 1.00 | 1.00 |
25 | 1.00 | 1.00 |
26 | 0.00 | 0.00 |
27 | 0.71 | 0.97 |
28 | 0.67 | 1.00 |
29 | 1.00 | 1.00 |
30 | 0.67 | 0.67 |
31 | 0.00 | 1.00 |
32 | 1.00 | 1.00 |
33 | 0.59 | 0.86 |
34 | 0.92 | 0.83 |
35 | 1.00 | 1.00 |
36 | 1.00 | 1.00 |
37 | 1.00 | 0.00 |
38 | 1.00 | 1.00 |
39 | 1.00 | 1.00 |
40 | 0.86 | 0.93 |
41 | 0.83 | 0.92 |
42 | 1.00 | 1.00 |
43 | 0.90 | 0.90 |
44 | 0.75 | 0.75 |
45 | 1.00 | 1.00 |
46 | 0.83 | 1.00 |
47 | 1.00 | 0.50 |
48 | 1.00 | 0.67 |
49 | 1.00 | 1.00 |
50 | 1.00 | 1.00 |
51 | 0.80 | 0.40 |
52 | 1.00 | 0.50 |
53 | 0.20 | 0.60 |
54 | 1.00 | 1.00 |
55 | 0.84 | 1.00 |
56 | 1.00 | 1.00 |
57 | 0.80 | 1.00 |
58 | 1.00 | 1.00 |
59 | 0.40 | 0.20 |
60 | 0.57 | 0.57 |
61 | 0.82 | 1.00 |
62 | 0.75 | 0.92 |
63 | 0.00 | 1.00 |
64 | 0.50 | 0.75 |
65 | 1.00 | 1.00 |
66 | 1.00 | 1.00 |
67 | 1.00 | 1.00 |
68 | 0.56 | 0.78 |
69 | 0.64 | 0.85 |
70 | 0.75 | 1.00 |
71 | 0.00 | 1.00 |
72 | 0.92 | 0.83 |
73 | 0.71 | 1.00 |
74 | 1.00 | 1.00 |
75 | 0.83 | 0.83 |
76 | 1.00 | 1.00 |
77 | 0.00 | 0.00 |
78 | 0.00 | 1.00 |
79 | 0.75 | 0.75 |
80 | 1.00 | 1.00 |
81 | 1.00 | 1.00 |
82 | 1.00 | 1.00 |
83 | 1.00 | 1.00 |
84 | 1.00 | 1.00 |
85 | 0.43 | 0.86 |
86 | 1.00 | 1.00 |
87 | 0.67 | 0.58 |
88 | 1.00 | 1.00 |
89 | 1.00 | 1.00 |
90 | 1.00 | 0.50 |
91 | 1.00 | 1.00 |
92 | 0.25 | 0.25 |
93 | 1.00 | 1.00 |
94 | 0.83 | 0.83 |
95 | 0.88 | 1.00 |
96 | 1.00 | 1.00 |
97 | 1.00 | 1.00 |
98 | 0.50 | 1.00 |
99 | 0.88 | 0.88 |
100 | 1.00 | 1.00 |
101 | 1.00 | 1.00 |
102 | 1.00 | 0.88 |
103 | 1.00 | 1.00 |
104 | 0.89 | 0.96 |
105 | 0.81 | 0.96 |
106 | 0.73 | 0.82 |
107 | 0.72 | 0.89 |
108 | 0.44 | 0.75 |
109 | 0.81 | 0.94 |
110 | 0.93 | 0.93 |
111 | 1.00 | 1.00 |
112 | 1.00 | 1.00 |
113 | 0.71 | 0.86 |
114 | 0.60 | 1.00 |
115 | 0.60 | 0.40 |
116 | 0.75 | 0.25 |
117 | 1.00 | 1.00 |
118 | 1.00 | 1.00 |
119 | 0.67 | 0.67 |
120 | 0.67 | 0.67 |
121 | 1.00 | 0.67 |
122 | 0.67 | 0.00 |
123 | 0.67 | 0.67 |
124 | 0.33 | 0.33 |
125 | 1.00 | 1.00 |
126 | 1.00 | 1.00 |
127 | 1.00 | 1.00 |
128 | 0.67 | 0.33 |
129 | 0.50 | 0.50 |
130 | 0.50 | 1.00 |
131 | 1.00 | 1.00 |
132 | 1.00 | 1.00 |
133 | 0.00 | 0.00 |
134 | 1.00 | 1.00 |
135 | 1.00 | 1.00 |
136 | 0.00 | 1.00 |
MRR Method
HAFR | ML | |
---|---|---|
1 | 0.69 | 0.96 |
2 | 1.00 | 1.00 |
3 | 1.00 | 1.00 |
4 | 0.00 | 1.00 |
5 | 0.67 | 1.00 |
6 | 0.83 | 0.75 |
7 | 1.00 | 1.00 |
8 | 1.00 | 0.58 |
9 | 0.10 | 1.00 |
10 | 1.00 | 1.00 |
11 | 0.67 | 1.00 |
12 | 1.00 | 1.00 |
13 | 1.00 | 1.00 |
14 | 0.89 | 1.00 |
15 | 1.00 | 1.00 |
16 | 0.70 | 0.78 |
17 | 0.79 | 0.78 |
18 | 0.34 | 0.67 |
19 | 0.33 | 0.31 |
20 | 1.00 | 1.00 |
21 | 1.00 | 0.50 |
22 | 0.55 | 0.32 |
23 | 0.00 | 0.00 |
24 | 0.50 | 0.50 |
25 | 0.93 | 1.00 |
26 | 0.00 | 0.00 |
27 | 0.64 | 0.91 |
28 | 0.37 | 1.00 |
29 | 1.00 | 1.00 |
30 | 0.53 | 0.58 |
31 | 0.00 | 0.20 |
32 | 1.00 | 0.83 |
33 | 0.56 | 0.68 |
34 | 0.92 | 0.83 |
35 | 1.00 | 1.00 |
36 | 0.58 | 0.81 |
37 | 1.00 | 0.00 |
38 | 1.00 | 1.00 |
39 | 1.00 | 1.00 |
40 | 0.82 | 0.93 |
41 | 0.47 | 0.49 |
42 | 1.00 | 1.00 |
43 | 0.78 | 0.83 |
44 | 0.75 | 0.75 |
45 | 0.33 | 0.42 |
46 | 0.62 | 1.00 |
47 | 1.00 | 0.50 |
48 | 0.43 | 0.42 |
49 | 1.00 | 0.75 |
50 | 0.51 | 0.73 |
51 | 0.70 | 0.30 |
52 | 1.00 | 0.50 |
53 | 0.20 | 0.50 |
54 | 0.33 | 1.00 |
55 | 0.75 | 0.96 |
56 | 1.00 | 1.00 |
57 | 0.80 | 0.90 |
58 | 0.91 | 1.00 |
59 | 0.09 | 0.05 |
60 | 0.41 | 0.57 |
61 | 0.82 | 1.00 |
62 | 0.69 | 0.92 |
63 | 0.00 | 0.14 |
64 | 0.50 | 0.62 |
65 | 1.00 | 1.00 |
66 | 1.00 | 1.00 |
67 | 0.25 | 1.00 |
68 | 0.44 | 0.66 |
69 | 0.49 | 0.73 |
70 | 0.54 | 0.80 |
71 | 0.00 | 1.00 |
72 | 0.80 | 0.72 |
73 | 0.60 | 0.95 |
74 | 0.90 | 1.00 |
75 | 0.83 | 0.83 |
76 | 1.00 | 1.00 |
77 | 0.00 | 0.00 |
78 | 0.00 | 1.00 |
79 | 0.38 | 0.62 |
80 | 1.00 | 1.00 |
81 | 1.00 | 1.00 |
82 | 1.00 | 1.00 |
83 | 0.88 | 1.00 |
84 | 0.50 | 1.00 |
85 | 0.22 | 0.79 |
86 | 1.00 | 1.00 |
87 | 0.50 | 0.44 |
88 | 0.75 | 1.00 |
89 | 0.58 | 1.00 |
90 | 0.56 | 0.25 |
91 | 0.87 | 1.00 |
92 | 0.06 | 0.25 |
93 | 1.00 | 1.00 |
94 | 0.49 | 0.62 |
95 | 0.70 | 0.75 |
96 | 0.50 | 1.00 |
97 | 0.79 | 1.00 |
98 | 0.50 | 0.55 |
99 | 0.79 | 0.88 |
100 | 1.00 | 1.00 |
101 | 0.52 | 0.85 |
102 | 1.00 | 0.88 |
103 | 0.89 | 1.00 |
104 | 0.79 | 0.89 |
105 | 0.81 | 0.94 |
106 | 0.58 | 0.71 |
107 | 0.67 | 0.77 |
108 | 0.33 | 0.47 |
109 | 0.62 | 0.82 |
110 | 0.90 | 0.93 |
111 | 0.81 | 1.00 |
112 | 1.00 | 1.00 |
113 | 0.71 | 0.86 |
114 | 0.44 | 0.73 |
115 | 0.35 | 0.40 |
116 | 0.58 | 0.25 |
117 | 0.75 | 1.00 |
118 | 1.00 | 1.00 |
119 | 0.50 | 0.67 |
120 | 0.67 | 0.67 |
121 | 0.83 | 0.67 |
122 | 0.25 | 0.00 |
123 | 0.44 | 0.67 |
124 | 0.17 | 0.33 |
125 | 0.28 | 0.39 |
126 | 1.00 | 1.00 |
127 | 1.00 | 1.00 |
128 | 0.67 | 0.08 |
129 | 0.05 | 0.25 |
130 | 0.50 | 0.57 |
131 | 1.00 | 0.67 |
132 | 0.60 | 1.00 |
133 | 0.00 | 0.00 |
134 | 1.00 | 1.00 |
135 | 1.00 | 1.00 |
136 | 0.00 | 1.00 |
Task 2 Summary Results by Query
Simple Hit/Miss Counting [5]
MRR Method [6]
Runtime Results
Participant | Task | Runtime (min) | Machine |
---|---|---|---|
HRFA | task1a | 13 | nema-c-1-2 |
HRFA | task1b | 5 | nema-c-1-2 |
HRFA | task2 | 37 | nema-c-1-2 |
ML | task1a | 10 | 1.83 GHz. 1Gb RAM |
ML | task1b | 4 | 2 GHz dual core. 2Gb RAM |
ML | task2 | 13 | 1.83 GHz. 1Gb RAM |