2009:Audio Music Similarity and Retrieval Results
Contents
Introduction
General Legend
Team ID
ANO = Anonymous
BF = Benjamin Fields
BSWH = Dmitry Bogdanov, Joan Serrà, Nicolas Wack, and Perfecto Herrera
CL1 = Chuan Cao, Ming Li
CL2 = Chuan Cao, Ming Li
GT = George Tzanetakis
LR = Thomas Lidy,Andreas Rauber
ME = Franc┬╕ois Maillet,Douglas Eck
PS1 = Tim Pohle1, Dominik Schnitzer1
PS2 = Tim Pohle1, Dominik Schnitzer1
SH = Stephan H├╝bler
Broad Categories
NS = Not Similar
SS = Somewhat Similar
VS = Very Similar
Calculating Summary Measures
Fine(1) = Sum of fine-grained human similarity decisions (0-10).
PSum(1) = Sum of human broad similarity decisions: NS=0, SS=1, VS=2.
WCsum(1) = 'World Cup' scoring: NS=0, SS=1, VS=3 (rewards Very Similar).
SDsum(1) = 'Stephen Downie' scoring: NS=0, SS=1, VS=4 (strongly rewards Very Similar).
Greater0(1) = NS=0, SS=1, VS=1 (binary relevance judgement).
Greater1(1) = NS=0, SS=0, VS=1 (binary relevance judgement using only Very Similar).
(1)Normalized to the range 0 to 1.
Overall Summary Results
NB: The results for BK2 were interpolated from partial data due to a runtime error.
file /nema-raid/www/mirex/results/ams/evalutron/summary_evalutron.csv not found
Friedman's Tests
Friedman's Test (FINE Scores)
The Friedman test was run in MATLAB against the Fine summary data over the 100 queries.
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);
file /nema-raid/www/mirex/results/ams/evalutron/evalutron.fine.friedman.tukeyKramerHSD.csv not found
Friedman's Test (BROAD Scores)
The Friedman test was run in MATLAB against the BROAD summary data over the 100 queries.
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);
file /nema-raid/www/mirex/results/ams/evalutron/evalutron.cat.friedman.tukeyKramerHSD.csv not found
Summary Results by Query
These are the mean FINE scores per query assigned by Evalutron graders. The FINE scores for the 5 candidates returned per algorithm, per query, have been averaged. Values are bounded between 0.0 and 10.0. A perfect score would be 10. Genre labels have been included for reference.
file /nema-raid/www/mirex/results/ams/evalutron/fine_scores.csv not found
These are the mean BROAD scores per query assigned by Evalutron graders. The BROAD scores for the 5 candidates returned per algorithm, per query, have been averaged. Values are bounded between 0 (not similar) and 2 (very similar). A perfect score would be 2. Genre labels have been included for reference.
file /nema-raid/www/mirex/results/ams/evalutron/cat_scores.csv not found
Anonymized Metadata
Raw Scores
The raw data derived from the Evalutron 6000 human evaluations are located on the Audio Music Similarity and Retrieval Raw Data page.
