Difference between revisions of "2009:Query-by-Singing/Humming Results"
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The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups. | 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); | Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05); | ||
| − | |||
| − | [[Image: | + | Simple Hit/Miss Count: |
| + | <csv>qbsh/friedman/Qbsh1aTask2Simple_friedman_tukeyKramerHSD.csv</csv> | ||
| + | |||
| + | [[Image:SQbsh1aTask2Simple_Friedman_Mean_Ranks.pngΓÇÄ]] | ||
| + | |||
| + | MRR Method: | ||
| + | <csv>qbsh/friedman/Qbsh1aTask2Mrr_friedman_tukeyKramerHSD.csv</csv> | ||
| + | |||
| + | [[Image:SQbsh1aTask2Mrr_Friedman_Mean_Ranks.pngΓÇÄ]] | ||
=====Task 1a Summary Results by Query Group===== | =====Task 1a Summary Results by Query Group===== | ||
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The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups. | 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); | Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05); | ||
| − | |||
| − | + | Simple Hit/Miss Count: | |
| + | <csv>qbsh/friedman/Qbsh1bTask2Simple_friedman_tukeyKramerHSD.csv</csv> | ||
| + | [[Image:SQbsh1bTask2Simple_Friedman_Mean_Ranks.pngΓÇÄ]] | ||
| + | |||
| + | MRR Method: | ||
| + | <csv>qbsh/friedman/Qbsh1bTask2Mrr_friedman_tukeyKramerHSD.csv</csv> | ||
| + | |||
| + | [[Image:SQbsh1bTask2Mrr_Friedman_Mean_Ranks.pngΓÇÄ]] | ||
=====Task 1b Summary Results by Query Group===== | =====Task 1b Summary Results by Query Group===== | ||
Simple Hit/Miss Count | Simple Hit/Miss Count | ||
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The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups. | 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); | Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05); | ||
| − | |||
| − | + | Simple Hit/Miss Count: | |
| + | <csv>qbsh/friedman/Qbsh1cTask2Simple_friedman_tukeyKramerHSD.csv</csv> | ||
| + | [[Image:SQbsh1cTask2Simple_Friedman_Mean_Ranks.pngΓÇÄ]] | ||
| + | |||
| + | MRR Method: | ||
| + | <csv>qbsh/friedman/Qbsh1cTask2Mrr_friedman_tukeyKramerHSD.csv</csv> | ||
| + | |||
| + | [[Image:SQbsh1cTask2Mrr_Friedman_Mean_Ranks.pngΓÇÄ]] | ||
=====Task 1c Summary Results by Query Group===== | =====Task 1c Summary Results by Query Group===== | ||
Simple Hit/Miss Count | Simple Hit/Miss Count | ||
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The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups. | 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); | Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05); | ||
| − | |||
| − | [[Image: | + | <csv>qbsh/friedman/QbshTask2_friedman_tukeyKramerHSD.csv</csv> |
| + | |||
| + | [[Image:SQbshTask2_Friedman_Mean_Ranks.png ΓÇÄ]] | ||
| + | |||
=====Task 2 Summary Results by Query Group===== | =====Task 2 Summary Results by Query Group===== | ||
Revision as of 23:43, 12 October 2009
Contents
- 1 Introduction
- 1.1 Task Descriptions
- 1.2 General Legend
- 1.3 Task 1 Results
- 1.4 Task 2 Results
- 1.5 Runtime Results
Introduction
These are the results for the 2008 running of the Query-by-Singing/Humming task. For background information about this task set please refer to the Query by Singing/Humming 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 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 Results Roger Jang's MIR-QBSH corpus with 48 songs as ground truth + 2000 Essen Collection MIDI noise files. See ESAC Data Homepage for more information about the Essen Collection. The queries consists of 4431 humming. All queries are from the beginning of references
- ThinkIT's Dataset Results IOACAS corpus 1 data set with 106 songs as ground truth + 2000 Essen Collection MIDI noise files. See ESAC Data Homepage for more information about the Essen Collection. The queries consists of 355 humming. There are no "singing from beginning" gurantee.
- ThinkIT's Dataset Results IOACAS corpus 2 data set with 192 songs as ground truth + 2000 Essen Collection MIDI noise files. See ESAC Data Homepage for more information about the Essen Collection. The queries consists of 404 humming. There are no "singing from beginning" gurantee.
Task 2 Goto Task 2 Results: The second subtask is the query against other humming. In the second subtask, Roger Jang's MIR-QBSH corpus has been divided into two groups (2040 as queries and 2391 as database). The query is performed against the other humming database and the top 10 closed are returned. The score is simple count of how many returns belong to the same ground truth song.
General Legend
Team ID
CSJ1 = Chun-Ta Chen and Jyh-Shing Roger Jang matched by beginning of the sond
CSJ2 = Chun-Ta Chen and Jyh-Shing Roger Jang matched by anywhere of the song
HAFR = Pierre Hanna, Julien Allali, Pascal Ferraro and Matthias Robine
Task 1 Results
Task 1a, Jang's dataset Results
Task 1a Overall Results
file /nema-raid/www/mirex/results/qbsh/QbshFinalTask1a.csv not found
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/qbsh/friedman/Qbsh1aTask2Simple_friedman_tukeyKramerHSD.csv not found
File:SQbsh1aTask2Simple Friedman Mean Ranks.pngΓÇÄ
MRR Method: file /nema-raid/www/mirex/results/qbsh/friedman/Qbsh1aTask2Mrr_friedman_tukeyKramerHSD.csv not found
File:SQbsh1aTask2Mrr Friedman Mean Ranks.pngΓÇÄ
Task 1a Summary Results by Query Group
Simple Hit/Miss Count file /nema-raid/www/mirex/results/qbsh/QbshTask1aSimpleByGroup.csv not found
MRR Method file /nema-raid/www/mirex/results/qbsh/QbshTask1aMrrByGroup.csv not found
Task 1a Summary Results by Query
Simple Hit/Miss Counting [1]
MRR Method [2]
Task 1b, ThinkIT's dataset Results
Task 1b Overall Results
file /nema-raid/www/mirex/results/qbsh/QbshFinalTask1b.csv not found
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/qbsh/friedman/Qbsh1bTask2Simple_friedman_tukeyKramerHSD.csv not found
File:SQbsh1bTask2Simple Friedman Mean Ranks.pngΓÇÄ
MRR Method: file /nema-raid/www/mirex/results/qbsh/friedman/Qbsh1bTask2Mrr_friedman_tukeyKramerHSD.csv not found
File:SQbsh1bTask2Mrr Friedman Mean Ranks.pngΓÇÄ
Task 1b Summary Results by Query Group
Simple Hit/Miss Count file /nema-raid/www/mirex/results/qbsh/QbshTask1bSimpleByGroup.csv not found
MRR Method file /nema-raid/www/mirex/results/qbsh/QbshTask1bMrrByGroup.csv not found
Task 1b Summary Results by Query
Simple Hit/Miss Counting [3]
MRR Method [4]
Task 1c, IOACAS2's dataset Results
Task 1c Overall Results
file /nema-raid/www/mirex/results/qbsh/QbshFinalTask1c.csv not found
Task 1c 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/qbsh/friedman/Qbsh1cTask2Simple_friedman_tukeyKramerHSD.csv not found
File:SQbsh1cTask2Simple Friedman Mean Ranks.pngΓÇÄ
MRR Method: file /nema-raid/www/mirex/results/qbsh/friedman/Qbsh1cTask2Mrr_friedman_tukeyKramerHSD.csv not found
File:SQbsh1cTask2Mrr Friedman Mean Ranks.pngΓÇÄ
Task 1c Summary Results by Query Group
Simple Hit/Miss Count file /nema-raid/www/mirex/results/qbsh/QbshTask1cSimpleByGroup.csv not found
MRR Method file /nema-raid/www/mirex/results/qbsh/QbshTask1cMrrByGroup.csv not found
Task 1c Summary Results by Query
Simple Hit/Miss Counting [5]
MRR Method [6]
Task 2 Results
Task 2 Overall Results
file /nema-raid/www/mirex/results/qbsh/QbshFinalTask2.csv not found
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);
file /nema-raid/www/mirex/results/qbsh/friedman/QbshTask2_friedman_tukeyKramerHSD.csv not found
File:SQbshTask2 Friedman Mean Ranks.png ΓÇÄ
Task 2 Summary Results by Query Group
file /nema-raid/www/mirex/results/qbsh/QbshTask2Group.csv not found
Task 2 Summary Results by Query
Runtime Results
file /nema-raid/www/mirex/results/qbsh.runtime.csv not found
