2006:Audio Music Similarity and Retrieval Results

Introduction

These are the results for the 2006 running of the Audio Music Similarity and Retrieval task set. For background information about this task set please refer to the Audio Music Similarity and Retrieval page. Each system is given 5000 songs chosen from uspop & uscrap and cover songs collections and returns a 5000x5000 distance matrix. 60 songs are randomly selected as queries and top 5 most similar songs out of 5000 is extracted for each query while filtering query itseld, returned results from the same artist and cover song. Then for each query, the returned results from all participants are grouped and are evaluated by human graders, each query being evaluated by 3 different graders with two scores. One categorical score with 3 categories: NS,SS,VS as explained below, and one fine score.

Number of evaluators = 2x
Number of evaluation per query/candidate pair = 3
Number of queries per grader = 7~8
Size of the candidate lists = Maximum 30 (with no overlap)
Number of randomly selected queries = 60

General Legend

Team ID

EP = Elias Pampalk
TP = Tim Pohle
VS = Vitor Soares
LR = Thomas Lidy and Andreas Rauber
KWT = Kris West (Trans)
KWL = Kris West (Likely)

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

file /nema-raid/www/mirex/results/mirex06_as_overalllist.csv not found

http://staff.aist.go.jp/elias.pampalk/papers/mirex06/friedman.png

This figure shows the official ranking of the submissions computed using a Friedman test. The blue lines indicate significance boundaries at the p=0.05 level. As can be seen, the differences are not significant. For a more detailed description and discussion see [1].

Audio Music Similarity and Retrieval Runtime Data

file /nema-raid/www/mirex/results/as06_runtime.csv not found

For a description of the computers the submission ran on see MIREX_2006_Equipment.

Friedman Test with Multiple Comparisons Results (p=0.05)

The Friedman test was run in MATLAB against the Fine summary data over the 60 queries.
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05); file /nema-raid/www/mirex/results/AV_sum_friedman.csv not found file /nema-raid/www/mirex/results/AV_fine_result.csv not found

Summary Results by Query

file /nema-raid/www/mirex/results/mirex06_as_uberlist.csv not found

Raw Scores

The raw data derived from the Evalutron 6000 human evaluations are located on the Audio Music Similarity and Retrieval Raw Data page.