Difference between revisions of "2009:Audio Cover Song Identification Results"

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== Results ==
 
== Results ==
  
===Mixed===
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===Mixed Collection===
  
 
'''Summary results'''
 
'''Summary results'''

Revision as of 17:45, 9 October 2009

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.

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.

On top of the previous Audio Cover Song dataset, we are going to use the Mazurka dataset. We are going to randomly choose 11 versions from 49 mazurkas and run it as a separate subtask. The I/O format will be the same as previous years. Systems will return a distance matrix of 539x539.

General Legend

Team ID

RE Suman Ravuri
SZA Joan Serra, Massimiliano Zanin, and 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

Mazurakas

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

File:Coversong.friedman.png

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

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

Mazurkas

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