Difference between revisions of "2009:Audio Cover Song Identification Results"
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== Introduction == | == Introduction == | ||
| − | 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. | + | This year, we ran Audio Cover Song (ACS) Identfication with 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 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. | 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 === | |
| + | In addition to our original ACS data set, we used the [http://www.mazurka.org.uk/ Mazurka dataset]. 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 === | === General Legend === | ||
Revision as of 17:06, 9 October 2009
Introduction
This year, we ran Audio Cover Song (ACS) Identfication with 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 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 data set, we used the Mazurka dataset. 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
Team ID
RE = Suman Ravuri
SZA = Joan Serra, Massimiliano Zanin, Ralph G. Andrzejak
TA = Teppo E. Ahonen
Results
Mixed Collection
Summary results file /nema-raid/www/mirex/results//cover/coversong.mixed.summary.csv not found
Number of Correct Covers at Rank X Returned in Top Ten file /nema-raid/www/mirex/results/cover/coversong.mixed.toptendist.csv not found
Average Performance per Query Group file /nema-raid/www/mirex/results/cover/coversong.mixed.precision.groups.csv not found
Sapp's Mazurakas Collection
Summary results file /nema-raid/www/mirex/results//cover/coversong.mazurka.summary.csv not found
Number of Correct Covers at Rank X Returned in Top Ten file /nema-raid/www/mirex/results/cover/coversong.mazurka.toptendist.csv not found
Average Performance per Query Group file /nema-raid/www/mirex/results/cover/coversong.mazurka.precision.groups.csv not found
Run Times
Friedman's Test for Significant Differences
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);
file /nema-raid/www/mirex/results/cover/coversong.friedman.anova.csv not found
file /nema-raid/www/mirex/results/cover/coversong.friedman.csv not found
Average Performance per Query Group
These are the arithmetic means of the average precisions within each of the 30 query groups.
file /nema-raid/www/mirex/results/cover/cover.mapquerygroup.v2.csv not found
Individual Results Files
Mixed Collection
Average Precision by Query
RE : S. Ravuri
SZA : J. Serra et al.
TA : T. Ahonen
Average Precision by Cover Group
RE : S. Ravuri
SZA : J. Serra et al.
TA : T. Ahonen
Rank Lists
RE : S. Ravuri
SZA : J. Serra et al.
TA : T. Ahonen
Sapp's Mazurkas Collection
Average Precision by Query
RE : S. Ravuri
SZA : J. Serra et al.
TA : T. Ahonen
Average Precision by Cover Group
RE : S. Ravuri
SZA : J. Serra et al.
TA : T. Ahonen
Rank Lists
RE : S. Ravuri
SZA : J. Serra et al.
TA : T. Ahonen
