Difference between revisions of "2009:Query-by-Tapping Results"

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Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);
 
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);
 
<csv>qbt/friedman/QbtTask1aSimple_friedman_tukeyKramerHSD.csv</csv>
 
<csv>qbt/friedman/QbtTask1aSimple_friedman_tukeyKramerHSD.csv</csv>
[[Image:QbtTask1aSimple_Friedman_Mean_Ranks.png|100px]]
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====Task 1a Summary Results by Query Group====
 
====Task 1a Summary Results by Query Group====

Revision as of 22:13, 12 October 2009

Introduction

These are the results for the 2008 running of the Query-by-Singing/Humming task. For background information about this task set please refer to the Query by Singing/Humming page.

Task Descriptions

Task 1 Goto Task 1 Results: The first subtask is the same as last year. In this subtask, submitted systems take a symbolic sung query as input and return a list of songs from the test database. Mean reciprocal rank (MRR) of the ground truth, as well as the simple hit(1)/miss(0) counting, is calculated over the top 10 returns. Two data sets are used:

  • Jang's Dataset Roger Jang's MIR-QBT: This dataset contains both wav files (recorded via microphone) and onset files (human-labeled onset time). 136 ground truth songs with 890 queries.
  • Hsiao's Dataset Show Hsiao's QBT_symbolic: This dataset contains only onset files (obtained from the user's tapping on keyboard). 143 ground truth songs with 410 queries.


Task 2 Goto Task 2 Results:The second subtask is the same as last year too. In this subtask, submitted systems take a wave-file sung query as input and return a list of songs from the test database. Mean reciprocal rank (MRR) of the ground truth, as well as the simple hit(1)/miss(0) counting, is calculated over the top 10 returns. Only Roger Jang's data http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/MIR-QBT.rar MIR-QBT] is used as the other dataset has no wave files.

General Legend

Team ID

CSJ = Chun-Ta Chen and Jyh-Shing Roger Jang

HAFR = Pierre Hanna, Julien Allali, Pascal Ferraro and Matthias Robine

HL = Shu-Jen Show and Hsiao Tyne Liang


Task 1 Results

Task 1a, Jang's Dataset Results

Task 1a Overall Results

file /nema-raid/www/mirex/results/qbt/QbtFinalTask1a.csv not found

Task 1a Friedman's Test for Significant Differences

The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups. Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05); file /nema-raid/www/mirex/results/qbt/friedman/QbtTask1aSimple_friedman_tukeyKramerHSD.csv not found

File:SQbtTask1aSimple Friedman Mean Ranks.png

Task 1a Summary Results by Query Group

Simple Hit/Miss Counting file /nema-raid/www/mirex/results/qbt/QbtTask1aSimpleByGroup.csv not found

MRR Method file /nema-raid/www/mirex/results/qbt/QbtTask1aMrrByGroup.csv not found


Task 1a Summary Results by Query

Simple Hit/Miss Counting [1]

MRR Method [2]


Task 1b, Hsiao's Dataset Results

Task 1b Overall Results

file /nema-raid/www/mirex/results/qbt/QbtFinalTask1b.csv not found

Task 1b Friedman's Test for Significant Differences

The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups. Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05); file /nema-raid/www/mirex/results/qbt/friedman/QbtTask1aSimple_friedman_tukeyKramerHSD.csv not found

File:Qbt/friedman/QbtTask1a2Simple Friedman Mean Ranks.png

Task 1b Summary Results by Query Group

Simple Hit/Miss Counting file /nema-raid/www/mirex/results/qbt/QbtTask1bSimpleByGroup.csv not found

MRR Method file /nema-raid/www/mirex/results/qbt/QbtTask1bMrrByGroup.csv not found


Task 1b Summary Results by Query

Simple Hit/Miss Counting [3]

MRR Method [4]

Task 2 Results

Task 2 Overall Results

file /nema-raid/www/mirex/results/qbt/QbtFinalTask2.csv not found

Task 2 Friedman's Test for Significant Differences

The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups. Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05); file /nema-raid/www/mirex/results/qbt/friedman/QbtTask1aSimple_friedman_tukeyKramerHSD.csv not found

File:Qbt/friedman/QbtTask1a2Simple Friedman Mean Ranks.png

Task 2 Summary Results by Query Group

Simple Hit/Miss Counting file /nema-raid/www/mirex/results/qbt/QbtTask2SimpleByGroup.csv not found

MRR Method file /nema-raid/www/mirex/results/qbt/QbtTask2MrrByGroup.csv not found


Task 2 Summary Results by Query

Simple Hit/Miss Counting [5]

MRR Method [6]

Runtime Results

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