Difference between revisions of "2008:Audio Chord Detection Results"

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'''Task 2 (Train-Test Systems) [[#Task 2 Results|Goto Task 2 Results]]''':  
 
'''Task 2 (Train-Test Systems) [[#Task 2 Results|Goto Task 2 Results]]''':  
System trained on ~2/3 of the beatles dataset and tested on ~1/3. Album filtering was applied on train-test each folds meaning that the songs from the same album can not appear in both train and test sets simultaneously.  
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System trained on ~2/3 of the beatles dataset and tested on ~1/3. Album filtering was applied on each train-test fold such that the songs from the same album can not appear in both train and test sets simultaneously.  
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Overlap score was calculated as the ratio between the overlap of the ground truth and detected chords and ground truth duration. Also a secondary overlap score was calculated by ignoring the major-minor variations of the root.
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Also note that 4 songs were excluded from the dataset because alignment of ground truth and audio could not be verified perfectly.
 
Also note that 4 songs were excluded from the dataset because alignment of ground truth and audio could not be verified perfectly.
  

Revision as of 22:41, 9 September 2008

Introduction

These are the results for the 2008 running of the Audio Chord Detection task set. For background information about this task set please refer to the Audio Chord Detection page.

Task Descriptions

Task 1 (Pretrained Systems) Goto Task 1 Results: Systems were pretrained and they were tested againts 176 beatles songs.

Task 2 (Train-Test Systems) Goto Task 2 Results: System trained on ~2/3 of the beatles dataset and tested on ~1/3. Album filtering was applied on each train-test fold such that the songs from the same album can not appear in both train and test sets simultaneously.

Overlap score was calculated as the ratio between the overlap of the ground truth and detected chords and ground truth duration. Also a secondary overlap score was calculated by ignoring the major-minor variations of the root.

Also note that 4 songs were excluded from the dataset because alignment of ground truth and audio could not be verified perfectly.

General Legend

Team ID for ChordPreTrained (Task 1)

BP = J. P. Bello, J. Pickens
KO = M. Khadkevich, M. Omologo
KL1 = K. Lee 1
KL2 = K. Lee 2
PP = H.Papadopoulos, G. Peeters
PVM = J. Pauwels, M. Varewyck, J-P. Martens
RK = M. Ryynänen, A. Klapuri

Team ID for ChordTrainTest (Task 2)

DE = D. Ellis
JL = X. Jhang, C. Lash
KO = M. Khadkevich, M. Omologo
KL = K. Lee (withtrain)
UMS = Y. Uchiyama, K. Miyamoto, S. Sagayama
WD1 = J. Weil
WD2 = J. Weil, J-L. Durrieu

Overall Summary Results

Task 1 Results

Task 1 Overall Results

file /nema-raid/www/mirex/results/chord/task1_results/pretrained_summary.csv not found

Task 1 Summary Data for Download

File Name Set (Pretrained runs)
Summary Overlap Data (Pretrained runs)
Summary Overlap Data (Pretrained runs (Merged maj/min))

Task 1 Friedman's Test for Significant Differences

The Friedman test was run in MATLAB against the Task 1 Overlap Score data over the 176 ground truth songs.


file /nema-raid/www/mirex/results/chord/task1_results/task1_friedman.csv not found

The Tukey-Kramer HSD multi-comparison data below was generate using the following MATLAB instruction.

Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer', 'estimate', 'friedman', 'alpha', 0.05); file /nema-raid/www/mirex/results/chord/task1_results/friedman_detailed.csv not found

File:Task1.friedman.png

Task 2 Results

Task 2 Overall Results

file /nema-raid/www/mirex/results/chord/task2_results/summary.csv not found .

Task 2 Summary Data for Download

File Name Set (Train-test runs)
Summary Overlap Data (Train-test runs)
Summary Overlap Data (Train-Test runs (Merged maj/min))
Per Fold Summary Data (Train-Test runs (Zip archive))

Task Friedman's Test for Significant Differences

The Friedman test was run in MATLAB against the Task 2 Overlap Score data over the 176 ground truth songs.


file /nema-raid/www/mirex/results/chord/task2_results/all3folds_friedman.txt not found

The Tukey-Kramer HSD multi-comparison data below was generate using the following MATLAB instruction.

Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer', 'estimate', 'friedman', 'alpha', 0.05); file /nema-raid/www/mirex/results/chord/task2_results/task2_allFolds_friedman_detailed.csv not found

File:Task2.allFolds friedman.png