Difference between revisions of "2017:Audio Cover Song Identification Results"
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====Summary Results==== | ====Summary Results==== | ||
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====Number of Correct Covers at Rank X Returned in Top Ten==== | ====Number of Correct Covers at Rank X Returned in Top Ten==== | ||
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====Average Performance per Query Group==== | ====Average Performance per Query Group==== | ||
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===Sapp's Mazuraka Collection=== | ===Sapp's Mazuraka Collection=== | ||
====Summary results==== | ====Summary results==== | ||
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====Number of Correct Covers at Rank X Returned in Top Ten==== | ====Number of Correct Covers at Rank X Returned in Top Ten==== | ||
| − | <csv> | + | <csv>2017/acs/mazurkas.toptendist.csv</csv> |
====Average Performance per Query Group==== | ====Average Performance per Query Group==== | ||
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==Individual Results Files== | ==Individual Results Files== | ||
Revision as of 01:15, 23 October 2017
Contents
Introduction
Audio Cover Song (ACS) Identification was evaluated against two datasets: Mixed Collection and Sapp's Mazurka Collection.
Mixed Collection Information
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 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
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
| Sub code | Submission name | Abstract | Contributors |
|---|---|---|---|
| CL1 | CL1 | Ning Chen, Hai-Dong Xiao | |
| YWJ2 | YWJ2 | Ming-Chi Yen, Hsin-Min Wang, Jyh-Shing Roger Jang | |
| YWJ3 | YWJ3 | Ming-Chi Yen, Hsin-Min Wang, Jyh-Shing Roger Jang | |
| CYWW1 | CYWW1 | Chuan-Yau Chan, Ming-Chi Yen, Ju-Chiang Wang, Hsin-Min Wang | |
| SYBK1 | SYBK1 | Diego Silva, Chin-Chia Michael Yeh, Gustavo Enrique de Almeida Prado Alves Batista, Eamonn Keogh
|
Results
Mixed Collection
Summary Results
| CL1 | CT2 | HKL1Fast1 | HKL1Fast21 | |
|---|---|---|---|---|
| Total number of covers identified in top 10 | 2104.00 | 1967.00 | 1496.00 | 1488.00 |
| Mean number of covers identified in top 10 (average performance) | 6.38 | 5.96 | 4.53 | 4.51 |
| Mean (arithmetic) of Avg. Precisions | 0.65 | 0.62 | 0.47 | 0.47 |
| Mean rank of first correctly identified cover | 52.40 | 18.80 | 15.10 | 14.70 |
Number of Correct Covers at Rank X Returned in Top Ten
| Rank | CL1 | CT2 | HKL1Fast1 | HKL1Fast21 |
|---|---|---|---|---|
| 1 | 251 | 289 | 213 | 214 |
| 2 | 241 | 264 | 186 | 185 |
| 3 | 240 | 256 | 186 | 185 |
| 4 | 230 | 250 | 156 | 157 |
| 5 | 233 | 223 | 152 | 154 |
| 6 | 215 | 215 | 158 | 154 |
| 7 | 207 | 166 | 141 | 137 |
| 8 | 202 | 156 | 130 | 134 |
| 9 | 186 | 103 | 103 | 108 |
| 10 | 99 | 45 | 71 | 60 |
| Total | 2104 | 1967 | 1496 | 1488 |
Average Performance per Query Group
| Group | CL1 | CT2 | HKL1Fast1 | HKL1Fast21 |
|---|---|---|---|---|
| 1 | 0.82 | 0.76 | 0.82 | 0.82 |
| 2 | 0.04 | 0.20 | 0.05 | 0.05 |
| 3 | 0.71 | 0.40 | 0.55 | 0.55 |
| 4 | 0.82 | 0.83 | 0.68 | 0.67 |
| 5 | 0.84 | 0.83 | 0.23 | 0.23 |
| 6 | 0.99 | 0.68 | 0.98 | 0.98 |
| 7 | 0.46 | 0.61 | 0.24 | 0.24 |
| 8 | 0.44 | 0.71 | 0.24 | 0.23 |
| 9 | 0.14 | 0.53 | 0.03 | 0.03 |
| 10 | 0.42 | 0.31 | 0.60 | 0.60 |
| 11 | 0.18 | 0.35 | 0.16 | 0.16 |
| 12 | 0.80 | 0.82 | 0.74 | 0.74 |
| 13 | 0.82 | 0.51 | 0.98 | 0.98 |
| 14 | 0.47 | 0.70 | 0.12 | 0.12 |
| 15 | 1 | 0.82 | 0.90 | 0.90 |
| 16 | 0.82 | 0.82 | 0.43 | 0.43 |
| 17 | 0.33 | 0.39 | 0.23 | 0.23 |
| 18 | 0.98 | 0.86 | 0.46 | 0.46 |
| 19 | 0.74 | 0.58 | 0.64 | 0.64 |
| 20 | 0.66 | 0.29 | 0.28 | 0.28 |
| 21 | 0.57 | 0.58 | 0.06 | 0.06 |
| 22 | 0.81 | 0.68 | 0.18 | 0.17 |
| 23 | 0.64 | 0.66 | 0.31 | 0.32 |
| 24 | 1.00 | 0.96 | 0.96 | 0.95 |
| 25 | 0.16 | 0.83 | 0.09 | 0.09 |
| 26 | 0.32 | 0.51 | 0.33 | 0.32 |
| 27 | 0.82 | 0.53 | 0.67 | 0.67 |
| 28 | 0.72 | 0.49 | 0.31 | 0.30 |
| 29 | 1 | 0.75 | 0.96 | 0.97 |
| 30 | 0.91 | 0.72 | 0.87 | 0.87 |
Sapp's Mazuraka Collection
Summary results
| CL1 | CT2 | HKL1Fast1 | HKL1Fast21 | |
|---|---|---|---|---|
| Total number of covers identified in top 10 | 5139.00 | 4950.00 | 4773.00 | 4778.00 |
| Mean number of covers identified in top 10 (average performance) | 9.53 | 9.18 | 8.86 | 8.86 |
| Mean (arithmetic) of Avg. Precisions | 0.95 | 0.92 | 0.90 | 0.90 |
| Mean rank of first correctly identified cover | 1.54 | 3.15 | 1.96 | 1.96 |
Number of Correct Covers at Rank X Returned in Top Ten
| Rank | CL1 | CT2 | HKL1Fast1 | HKL1Fast21 |
|---|---|---|---|---|
| 1 | 524 | 517 | 519 | 518 |
| 2 | 526 | 514 | 516 | 522 |
| 3 | 513 | 508 | 520 | 515 |
| 4 | 516 | 515 | 506 | 504 |
| 5 | 519 | 511 | 495 | 498 |
| 6 | 520 | 504 | 484 | 486 |
| 7 | 516 | 505 | 478 | 476 |
| 8 | 504 | 485 | 445 | 446 |
| 9 | 517 | 479 | 415 | 419 |
| 10 | 484 | 412 | 395 | 394 |
| Total | 5139 | 4950 | 4773 | 4778 |
Average Performance per Query Group
| Group | CL1 | CT2 | HKL1Fast1 | HKL1Fast21 |
|---|---|---|---|---|
| 1 | 1 | 1 | 0.97 | 0.97 |
| 2 | 1 | 1 | 1 | 1 |
| 3 | 1 | 0.85 | 0.98 | 0.98 |
| 4 | 1 | 0.67 | 0.83 | 0.83 |
| 5 | 1 | 0.83 | 0.73 | 0.73 |
| 6 | 1 | 1 | 0.78 | 0.79 |
| 7 | 1 | 0.99 | 1 | 1 |
| 8 | 1 | 0.84 | 0.60 | 0.60 |
| 9 | 1 | 0.76 | 0.76 | 0.75 |
| 10 | 1 | 1 | 0.97 | 0.97 |
| 11 | 1 | 1 | 1 | 1 |
| 12 | 1 | 1 | 1 | 1 |
| 13 | 1 | 1 | 1 | 1 |
| 14 | 1 | 1 | 0.97 | 0.96 |
| 15 | 1 | 1 | 0.97 | 0.97 |
| 16 | 1 | 1 | 0.97 | 0.97 |
| 17 | 1 | 1 | 1 | 1 |
| 18 | 1 | 1 | 1 | 1 |
| 19 | 1 | 0.99 | 1 | 1 |
| 20 | 1 | 1 | 1 | 1 |
| 21 | 1 | 1 | 0.98 | 0.98 |
| 22 | 1 | 1 | 0.98 | 0.98 |
| 23 | 1 | 1 | 0.97 | 0.97 |
| 24 | 1 | 1 | 1 | 1 |
| 25 | 1 | 1 | 1 | 1 |
| 26 | 0.65 | 0.71 | 0.64 | 0.64 |
| 27 | 0.77 | 0.76 | 0.77 | 0.77 |
| 28 | 0.48 | 0.42 | 0.38 | 0.38 |
| 29 | 0.39 | 0.34 | 0.40 | 0.39 |
| 30 | 1 | 1 | 0.98 | 0.98 |
| 31 | 0.82 | 1 | 0.80 | 0.81 |
| 32 | 1 | 1 | 0.94 | 0.94 |
| 33 | 1 | 1 | 1 | 1 |
| 34 | 1 | 0.92 | 0.90 | 0.91 |
| 35 | 1 | 1 | 0.98 | 0.98 |
| 36 | 1 | 1 | 1 | 1 |
| 37 | 1 | 0.91 | 0.99 | 0.99 |
| 38 | 0.94 | 1 | 1 | 1 |
| 39 | 1 | 1 | 1.00 | 1.00 |
| 40 | 1 | 1 | 0.99 | 0.98 |
| 41 | 1 | 1 | 1 | 1 |
| 42 | 0.93 | 0.54 | 0.66 | 0.66 |
| 43 | 1 | 0.99 | 0.73 | 0.74 |
| 44 | 1 | 0.94 | 1 | 1 |
| 45 | 0.82 | 1.00 | 0.93 | 0.93 |
| 46 | 1 | 0.99 | 0.72 | 0.71 |
| 47 | 1 | 1 | 1 | 1 |
| 48 | 1 | 1 | 0.75 | 0.75 |
| 49 | 0.83 | 0.82 | 0.82 | 0.82 |
Individual Results Files
Mixed Collection
Average Precision by Query
CL1 : Ning Chen, Hai-Dong Xiao
CYWW1 : Chuan-Yau Chan, Ming-Chi Yen, Ju-Chiang Wang, Hsin-Min Wang
SYBK1 : Diego Silva, Chin-Chia Michael Yeh, Gustavo Enrique de Almeida Prado Alves Batista, Eamonn Keogh
YWJ2 : Ming-Chi Yen, Hsin-Min Wang, Jyh-Shing Roger Jang
YWJ3 : Ming-Chi Yen, Hsin-Min Wang, Jyh-Shing Roger Jang
Rank Lists
CL1 : Ning Chen, Hai-Dong Xiao
CYWW1 : Chuan-Yau Chan, Ming-Chi Yen, Ju-Chiang Wang, Hsin-Min Wang
SYBK1 : Diego Silva, Chin-Chia Michael Yeh, Gustavo Enrique de Almeida Prado Alves Batista, Eamonn Keogh
YWJ2 : Ming-Chi Yen, Hsin-Min Wang, Jyh-Shing Roger Jang
YWJ3 : Ming-Chi Yen, Hsin-Min Wang, Jyh-Shing Roger Jang
Mazurkas
Average Precision by Query
CL1 : Ning Chen, Hai-Dong Xiao
CYWW1 : Chuan-Yau Chan, Ming-Chi Yen, Ju-Chiang Wang, Hsin-Min Wang
SYBK1 : Diego Silva, Chin-Chia Michael Yeh, Gustavo Enrique de Almeida Prado Alves Batista, Eamonn Keogh
YWJ2 : Ming-Chi Yen, Hsin-Min Wang, Jyh-Shing Roger Jang
YWJ3 : Ming-Chi Yen, Hsin-Min Wang, Jyh-Shing Roger Jang
Rank Lists
CL1 : Ning Chen, Hai-Dong Xiao
CYWW1 : Chuan-Yau Chan, Ming-Chi Yen, Ju-Chiang Wang, Hsin-Min Wang
SYBK1 : Diego Silva, Chin-Chia Michael Yeh, Gustavo Enrique de Almeida Prado Alves Batista, Eamonn Keogh
