2011:Audio Cover Song Identification Results
Contents
Introduction[edit]
This year, we ran Audio Cover Song (ACS) Identfication with two datasets: Mixed Collection and Sapp's Mazurka Collection.
Mixed Collection Information[edit]
This is the "original" ACS collection. Within the 1000 pieces in the Audio Cover Song database, there are embedded 30 different "cover songs" each represented by 11 different "versions" for a total of 330 audio files (16bit, monophonic, 22.05khz, wav). The "cover songs" represent a variety of genres (e.g., classical, jazz, gospel, rock, folk-rock, etc.) and the variations span a variety of styles and orchestrations.
Using each of these cover song files in turn as as the "seed/query" file, we will examine the returned lists of items for the presence of the other 10 versions of the "seed/query" file.
Sapp's Mazurka Collection Information[edit]
In addition to our original ACS dataset, we used the Mazurka.org dataset put together by Craig Sapp. We randomly chose 11 versions from 49 mazurkas and ran it as a separate ACS subtask. Systems returned a distance matrix of 539x539 from which we located the ranks of each of the associated cover versions.
General Legend[edit]
| Sub code | Submission name | Abstract | Contributors |
|---|---|---|---|
| ALL1 | tonalspacecoversys.m | Teppo E. Ahonen, Kjell Lemström, Simo Linkola | |
| CWWJ1 | CWWJ | Chuan-Yau Chan, Ju-Chiang Wang, Hsin-Min Wang,Shyh-Kang Jeng |
Results[edit]
Mixed Collection[edit]
Summary Results[edit]
| ALL1 | CWWJ1 | |
|---|---|---|
| Total number of covers identified in top 10 | 442.00 | 625.00 |
| Mean number of covers identified in top 10 (average performance) | 1.34 | 1.89 |
| Mean (arithmetic) of Avg. Precisions | 0.13 | 0.21 |
| Mean rank of first correctly identified cover | 23.92 | 29.99 |
Number of Correct Covers at Rank X Returned in Top Ten[edit]
| Rank | ALL1 | CWWJ1 |
|---|---|---|
| 1 | 85 | 98 |
| 2 | 60 | 83 |
| 3 | 44 | 77 |
| 4 | 47 | 75 |
| 5 | 40 | 58 |
| 6 | 43 | 56 |
| 7 | 31 | 52 |
| 8 | 34 | 45 |
| 9 | 32 | 42 |
| 10 | 26 | 39 |
| Total | 442 | 625 |
Average Performance per Query Group[edit]
| Group | ALL1 | CWWJ1 |
|---|---|---|
| 1 | 0.34 | 0.82 |
| 2 | 0.02 | 0.01 |
| 3 | 0.17 | 0.14 |
| 4 | 0.13 | 0.20 |
| 5 | 0.03 | 0.07 |
| 6 | 0.30 | 0.11 |
| 7 | 0.15 | 0.04 |
| 8 | 0.04 | 0.01 |
| 9 | 0.04 | 0.03 |
| 10 | 0.05 | 0.22 |
| 11 | 0.23 | 0.02 |
| 12 | 0.10 | 0.48 |
| 13 | 0.33 | 0.30 |
| 14 | 0.03 | 0.03 |
| 15 | 0.18 | 0.28 |
| 16 | 0.04 | 0.03 |
| 17 | 0.08 | 0.12 |
| 18 | 0.03 | 0.39 |
| 19 | 0.01 | 0.03 |
| 20 | 0.18 | 0.05 |
| 21 | 0.12 | 0.14 |
| 22 | 0.03 | 0.10 |
| 23 | 0.01 | 0.09 |
| 24 | 0.13 | 0.26 |
| 25 | 0.02 | 0.03 |
| 26 | 0.05 | 0.24 |
| 27 | 0.09 | 0.63 |
| 28 | 0.02 | 0.01 |
| 29 | 0.68 | 0.38 |
| 30 | 0.20 | 0.69 |
Friedman's Test for Significant Differences[edit]
The Friedman test was run in MATLAB against the Average Precision summary data over the 30 song groups.
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);
| TeamID | TeamID | Lowerbound | Mean | Upperbound | Significance |
|---|---|---|---|---|---|
| CWWJ1 | ALL1 | -0.22 | 0.13 | 0.49 | FALSE |
Run Times[edit]
TBA
Sapp's Mazuraka Collection[edit]
Summary results[edit]
| ALL1 | CWWJ1 | |
|---|---|---|
| Total number of covers identified in top 10 | 3462.00 | 4869.00 |
| Mean number of covers identified in top 10 (average performance) | 6.42 | 9.03 |
| Mean (arithmetic) of Avg. Precisions | 0.70 | 0.88 |
| Mean rank of first correctly identified cover | 1.76 | 1.82 |
Number of Correct Covers at Rank X Returned in Top Ten[edit]
| Rank | ALL1 | CWWJ1 |
|---|---|---|
| 1 | 491 | 373 |
| 2 | 469 | 491 |
| 3 | 447 | 509 |
| 4 | 418 | 508 |
| 5 | 381 | 516 |
| 6 | 342 | 513 |
| 7 | 296 | 511 |
| 8 | 255 | 502 |
| 9 | 217 | 487 |
| 10 | 146 | 459 |
| Total | 3462 | 4869 |
Average Performance per Query Group[edit]
| Group | ALL1 | CWWJ1 |
|---|---|---|
| 1 | 0.11 | 0.95 |
| 2 | 0.90 | 1 |
| 3 | 0.80 | 0.88 |
| 4 | 0.97 | 0.91 |
| 5 | 0.67 | 1 |
| 6 | 0.46 | 1 |
| 7 | 0.47 | 1 |
| 8 | 0.84 | 1 |
| 9 | 0.99 | 1 |
| 10 | 0.92 | 0.80 |
| 11 | 0.85 | 1 |
| 12 | 0.87 | 0.89 |
| 13 | 0.89 | 0.93 |
| 14 | 0.24 | 0.80 |
| 15 | 0.90 | 1 |
| 16 | 0.71 | 0.77 |
| 17 | 0.82 | 1 |
| 18 | 0.83 | 0.91 |
| 19 | 0.62 | 0.96 |
| 20 | 0.92 | 1 |
| 21 | 0.21 | 0.91 |
| 22 | 0.98 | 1 |
| 23 | 0.63 | 1 |
| 24 | 0.88 | 0.92 |
| 25 | 0.14 | 0.79 |
| 26 | 0.67 | 0.71 |
| 27 | 0.48 | 0.89 |
| 28 | 0.15 | 0.30 |
| 29 | 0.08 | 0.05 |
| 30 | 0.61 | 0.96 |
| 31 | 0.73 | 1.00 |
| 32 | 0.95 | 0.65 |
| 33 | 0.92 | 1 |
| 34 | 0.35 | 1 |
| 35 | 1.00 | 1 |
| 36 | 0.85 | 0.89 |
| 37 | 0.57 | 0.95 |
| 38 | 0.13 | 1 |
| 39 | 0.71 | 0.84 |
| 40 | 0.73 | 1 |
| 41 | 0.74 | 0.95 |
| 42 | 0.69 | 0.94 |
| 43 | 0.80 | 0.97 |
| 44 | 0.72 | 1 |
| 45 | 0.74 | 0.74 |
| 46 | 0.91 | 0.99 |
| 47 | 0.68 | 0.77 |
| 48 | 0.85 | 0.86 |
| 49 | 0.73 | 0.82 |
Friedman's Test for Significant Differences[edit]
The Friedman test was run in MATLAB against the Average Precision summary data over the 30 song groups.
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);
| TeamID | TeamID | Lowerbound | Mean | Upperbound | Significance |
|---|---|---|---|---|---|
| CWWJ1 | ALL1 | 0.52 | 0.80 | 1.08 | TRUE |
Run Times[edit]
TBA
Individual Results Files[edit]
Mixed Collection[edit]
Average Precision by Query
ALL1 : Teppo E. Ahonen, Kjell Lemström, Simo Linkola
CWWJ1 : Chuan-Yau Chan, Ju-Chiang Wang, Hsin-Min Wang,Shyh-Kang Jeng
Rank Lists
ALL1 : Teppo E. Ahonen, Kjell Lemström, Simo Linkola
CWWJ1 : Chuan-Yau Chan, Ju-Chiang Wang, Hsin-Min Wang,Shyh-Kang Jeng
Sapp's Mazurka Collection[edit]
Average Precision by Query
ALL1 : Teppo E. Ahonen, Kjell Lemström, Simo Linkola
CWWJ1 : Chuan-Yau Chan, Ju-Chiang Wang, Hsin-Min Wang,Shyh-Kang Jeng
Rank Lists
ALL1 : Teppo E. Ahonen, Kjell Lemström, Simo Linkola
CWWJ1 : Chuan-Yau Chan, Ju-Chiang Wang, Hsin-Min Wang,Shyh-Kang Jeng