https://www.music-ir.org/mirex/w/api.php?action=feedcontributions&user=Gzhu1&feedformat=atomMIREX Wiki - User contributions [en]2024-03-28T20:51:12ZUser contributionsMediaWiki 1.31.1https://www.music-ir.org/mirex/w/index.php?title=MediaWiki:Sidebar&diff=8710MediaWiki:Sidebar2012-05-15T23:17:53Z<p>Gzhu1: </p>
<hr />
<div>* mirex by year<br />
** 2012:Main_Page|MIREX 2012<br />
** 2011:Main_Page|MIREX 2011<br />
** 2010:Main_Page|MIREX 2010<br />
** 2009:Main_Page|MIREX 2009<br />
** 2008:Main_Page|MIREX 2008<br />
** 2007:Main_Page|MIREX 2007<br />
** 2006:Main_Page|MIREX 2006<br />
** 2005:Main_Page|MIREX 2005<br />
<br />
*results by year<br />
**2011:MIREX2011_Results| MIREX 2011 Results<br />
**2010:MIREX2010_Results| MIREX 2010 Results<br />
**2009:MIREX2009_Results| MIREX 2009 Results <br />
**2008:MIREX2008_Results| MIREX 2008 Results <br />
**2007:MIREX2007_Results| MIREX 2007 Results <br />
**2006:MIREX2006_Results| MIREX 2006 Results <br />
**2005:MIREX2005_Results| MIREX 2005 Results <br />
<br />
*2011 account request<br />
**Special:RequestAccount | Account Request Form<br />
<br />
* SEARCH<br />
<br />
* navigation<br />
** mainpage|MIREX CENTRAL HOME<br />
** portal-url|portal<br />
** currentevents-url|currentevents<br />
** recentchanges-url|recentchanges<br />
** randompage-url|randompage<br />
** helppage|help<br />
<br />
* TOOLBOX<br />
* LANGUAGES</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User:Michal_Prochazka&diff=8591User:Michal Prochazka2011-11-30T18:30:44Z<p>Gzhu1: Creating user page with biography of new user.</p>
<hr />
<div>Hello,<br />
I´m working on "transient detection paper" during literature research I found one or maybe two papers about onset detection from MIREX 2005-2007.<br />
Most of the papers which I found don´t describe used data just results, so.<br />
I would like to ask if you have any files with already described (identified) transient signals which will be possible to use for testing (comparison or evaluation) in case of "transient signal detection" I will be very glad.<br />
<br />
GL with future research.<br />
<br />
Best regards. M. Prochazka</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User_talk:Michal_Prochazka&diff=8592User talk:Michal Prochazka2011-11-30T18:30:44Z<p>Gzhu1: Welcome!</p>
<hr />
<div>'''Welcome to ''MIREX Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [[Help:Contents|help pages]].<br />
Again, welcome and have fun! [[User:Gzhu1|Gzhu1]] 12:30, 30 November 2011 (CST)</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User:Felix&diff=8589User:Felix2011-11-28T19:26:37Z<p>Gzhu1: Creating user page with biography of new user.</p>
<hr />
<div>Hello,<br />
<br />
my name is Felix and I am a student at the University of Applied Science in Esslingen.<br />
Right now I am doing my Bachelor Thesis which is about developing a Beat Counter. <br />
For testing my work I need some labeled audiodata, which I hope to find here.<br />
<br />
Thanks in advance,<br />
<br />
Felix</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User_talk:Felix&diff=8590User talk:Felix2011-11-28T19:26:37Z<p>Gzhu1: Welcome!</p>
<hr />
<div>'''Welcome to ''MIREX Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [[Help:Contents|help pages]].<br />
Again, welcome and have fun! [[User:Gzhu1|Gzhu1]] 13:26, 28 November 2011 (CST)</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User_talk:Dongkai_Sun&diff=8588User talk:Dongkai Sun2011-11-16T05:31:03Z<p>Gzhu1: Welcome!</p>
<hr />
<div>'''Welcome to ''MIREX Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [[Help:Contents|help pages]].<br />
Again, welcome and have fun! [[User:Gzhu1|Gzhu1]] 23:31, 15 November 2011 (CST)</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User:Dongkai_Sun&diff=8587User:Dongkai Sun2011-11-16T05:31:02Z<p>Gzhu1: Creating user page with biography of new user.</p>
<hr />
<div>My name is Dongkai Sun. I'm a student in the department of Electronic Engineering in Tsinghua University. I'm interested in music very much. I do well in playing piano and music composing. My research directions is Frequency Estimation and note tracking of music. I want to request a user account of music-ir. Thank you very much.</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=2011:MIREX2011_Results&diff=85562011:MIREX2011 Results2011-10-31T18:33:54Z<p>Gzhu1: /* Other Tasks */</p>
<hr />
<div>==OVERALL RESULTS POSTERS <!--(First Version: Will need updating as last runs are completed)-->==<br />
<br />
[https://www.music-ir.org/mirex/results/2011/mirex_2011_poster.pdf MIREX 2011 Overall Results Posters (PDF)]<br />
<br />
==Results by Task ==<br />
This year we ran many MIREX 2011 Tasks using the new [http://nema.lis.uiuc.edu/drupal/?q=nema/architecture NEMA MIREX DIY] infrastructure. Task results with "(DIY)" appended are those generated using the NEMA MIREX DIY system. Where appropriate, do explore the various new outputs that help visualize both individual and task-wide comparative performances. A demonstration [https://www.music-ir.org/diy-demo/ video] of the NEMA MIREX DIY system can be found is also available.<br />
<br />
<br />
===Train-Test Task Set===<br />
* [Audio Classical Composer Identification Results ]&nbsp;&nbsp; (DIY)<br />
* [ Audio Latin Genre Classification Results ]&nbsp;&nbsp; (DIY)<br />
* [ Audio Music Mood Classification Results ]&nbsp;&nbsp; (DIY)<br />
* [ Audio Mixed Popular Genre Classification Results ]&nbsp;&nbsp; (DIY)<br />
<br />
===Other Tasks===<br />
<br />
* Audio Beat Tracking Results <br />
** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/abt/mck/ MCK Dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/abt/maz/ MAZ Dataset] &nbsp;(DIY)<br />
* [https://nema.lis.illinois.edu/nema_out/mirex2011/results/ace/ Audio Chord Detection] &nbsp;(DIY)<br />
* [[2011:Audio_Cover_Song_Identification_Results | Audio Cover Song Identification Results]] <br />
* [https://nema.lis.illinois.edu/nema_out/mirex2011/results/akd/ Audio Key Detection Results] &nbsp;(DIY)<br />
* Audio Melody Extraction Results<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/ame/adc04/ ADC04 Dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/ame/mirex05/ MIREX05 Dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/ame/indian08/ INDIAN08 Dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/ame/mirex09_0dB/ MIREX09 0dB Dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/ame/mirex09_m5dB/ MIREX09 -5dB Dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/ame/mirex09_p5dB/ MIREX09 +5dB Dataset] &nbsp;(DIY)<br />
* [[2011:Audio_Music_Similarity_and_Retrieval_Results | Audio Music Similarity and Retrieval Results]]<br />
* [https://nema.lis.illinois.edu/nema_out/mirex2011/results/aod/ Audio Onset Detection Results] &nbsp;(DIY)<br />
* Audio Tag Classification Results<br />
** Major Miner Tag dataset<br />
*** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/atg/subtask1_report/bin/ Binary relevance (classification evaluation)] &nbsp;(DIY)<br />
*** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/atg/subtask1_report/aff/ Affinity estimation evaluation] &nbsp;(DIY)<br />
** Mood Tag dataset<br />
*** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/atg/subtask2_report/bin/ Binary relevance (classification evaluation)] &nbsp;(DIY)<br />
*** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/atg/subtask2_report/aff/ Affinity estimation evaluation] &nbsp;(DIY)<br />
* [https://nema.lis.illinois.edu/nema_out/mirex2011/results/ate/ Audio Tempo Estimation Results] &nbsp;(DIY)<br />
* [[2011:Multiple_Fundamental_Frequency_Estimation_&_Tracking_Results | Multiple Fundamental Frequency Estimation & Tracking Results]]<br />
* Music Structure Segmentation Results<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/struct/mirex09/ MIREX09 dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/struct/mirex10/ MIREX10 dataset] &nbsp;(DIY)<br />
* [[2011:Query-by-Singing/Humming_Results | Query-by-Singing/Humming Results]] <br />
* [[2011:Query-by-Tapping_Results| Query-by-Tapping Results]]<br />
*[[2011:Real-time_Audio_to_Score_Alignment_(a.k.a._Score_Following)_Results | Real-time Audio to Score Alignment (a.k.a. Score Following) Results ]]<br />
* [[2011:Symbolic_Melodic_Similarity_Results | Symbolic Melodic Similarity Results]]<br />
<br />
== Machine Specifications ==<br />
TBA<br />
<br />
== Runtime for Submissions Run by NEMA DIY ==<br />
<br />
TBA<br />
<br />
[[Category:Results]]</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=2011:Query-by-Tapping_Results&diff=85552011:Query-by-Tapping Results2011-10-31T18:32:10Z<p>Gzhu1: /* Task 1b Summary Results by Query Group */</p>
<hr />
<div>==Introduction==<br />
These are the results for the 2011 running of the Query-by-tappingn task. For background information about this task set please refer to the [[2011:Query_by_Tapping]] page. <br />
<br />
===Task Descriptions===<br />
<br />
'''Task 1 [[#Task 1 Results|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:<br />
<br />
* [[#Task 1a, Jang's Dataset Results|Jang's Dataset]] Roger Jang's [http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/MIR-QBT.rar 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. <br />
* [[#Task 1b, Hsiao's Dataset Results|Hsiao's Dataset]] Show Hsiao's [http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/QBT_symbolic.rar QBT_symbolic]: This dataset contains only onset files (obtained from the user's tapping on keyboard). 143 ground truth songs with 410 queries. <br />
<br />
<br />
'''Task 2 [[#Task 2 Results|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.<br />
<br />
===General Legend===<br />
====Team ID====<br />
{| border="1" cellspacing="0" style="text-align: left; width: 800px;"<br />
|- style="background: yellow;"<br />
! width="80" | Sub code <br />
! width="200" | Submission name <br />
! width="80" style="text-align: center;" | Abstract <br />
! width="440" | Contributors<br />
|-<br />
! CJ1<br />
| QBT || style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2011/CJ1.pdf PDF] || [http://mirlab.org ChunTa Chen], [http://mirlab.org Roger Jang]<br />
|}<br />
<br />
===Task 1 Results===<br />
<br />
<br />
===Task 1a, Jang's Dataset Results===<br />
<br />
=====Task 1a Overall Results=====<br />
<csv>2011/qbt/2011qbtTask1a.csv</csv><br />
<br />
====Task 1a Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/qbtTask1aSimple.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/qbtTask1aMRR.csv</csv><br />
<br />
====Task 1a Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/qbtTask1aQuerySimple.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/qbtTask1aQueryMRR.csv]<br />
<br />
===Task 1b, Hsiao's Dataset Results===<br />
<br />
=====Task 1b Overall Results=====<br />
<csv p=2>2011/qbt/2011qbtTask1b.csv</csv><br />
<br />
<br />
====Task 1b Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/qbtTask1bSimple.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/qbtTask1bMRR.csv</csv><br />
<br />
====Task 1b Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/qbtTask1bQuerySimple.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/qbtTask1bQueryMRR.csv]<br />
<br />
===Task 2 Results===<br />
<br />
<br />
=====Task 2 Overall Results=====<br />
<csv>2011/qbt/2011qbtTask2.csv</csv><br />
<br />
<br />
<br />
====Task 2 Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/qbtTask2Simple.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/qbtTask2MRR.csv</csv><br />
<br />
====Task 2 Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/qbtTask2QuerySimple.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/qbtTask2QuerySimple.csv]<br />
<br />
===Runtime Results===<br />
<br />
<csv>2011/qbt/qbtRunTime.csv</csv><br />
<br />
[[Category: Results]]</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=2011:Query-by-Tapping_Results&diff=85542011:Query-by-Tapping Results2011-10-31T18:30:07Z<p>Gzhu1: </p>
<hr />
<div>==Introduction==<br />
These are the results for the 2011 running of the Query-by-tappingn task. For background information about this task set please refer to the [[2011:Query_by_Tapping]] page. <br />
<br />
===Task Descriptions===<br />
<br />
'''Task 1 [[#Task 1 Results|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:<br />
<br />
* [[#Task 1a, Jang's Dataset Results|Jang's Dataset]] Roger Jang's [http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/MIR-QBT.rar 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. <br />
* [[#Task 1b, Hsiao's Dataset Results|Hsiao's Dataset]] Show Hsiao's [http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/QBT_symbolic.rar QBT_symbolic]: This dataset contains only onset files (obtained from the user's tapping on keyboard). 143 ground truth songs with 410 queries. <br />
<br />
<br />
'''Task 2 [[#Task 2 Results|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.<br />
<br />
===General Legend===<br />
====Team ID====<br />
{| border="1" cellspacing="0" style="text-align: left; width: 800px;"<br />
|- style="background: yellow;"<br />
! width="80" | Sub code <br />
! width="200" | Submission name <br />
! width="80" style="text-align: center;" | Abstract <br />
! width="440" | Contributors<br />
|-<br />
! CJ1<br />
| QBT || style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2011/CJ1.pdf PDF] || [http://mirlab.org ChunTa Chen], [http://mirlab.org Roger Jang]<br />
|}<br />
<br />
===Task 1 Results===<br />
<br />
<br />
===Task 1a, Jang's Dataset Results===<br />
<br />
=====Task 1a Overall Results=====<br />
<csv>2011/qbt/2011qbtTask1a.csv</csv><br />
<br />
====Task 1a Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/qbtTask1aSimple.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/qbtTask1aMRR.csv</csv><br />
<br />
====Task 1a Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/qbtTask1aQuerySimple.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/qbtTask1aQueryMRR.csv]<br />
<br />
===Task 1b, Hsiao's Dataset Results===<br />
<br />
=====Task 1b Overall Results=====<br />
<csv p=2>2011/qbt/2011qbtTask1b.csv</csv><br />
<br />
<br />
====Task 1b Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/qbtTask1bSimple.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/qbtTask1bMRR</csv><br />
<br />
====Task 1b Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/qbtTask1bQuerySimple.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/qbtTask1bQueryMRR.csv]<br />
<br />
===Task 2 Results===<br />
<br />
<br />
=====Task 2 Overall Results=====<br />
<csv>2011/qbt/2011qbtTask2.csv</csv><br />
<br />
<br />
<br />
====Task 2 Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/qbtTask2Simple.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/qbtTask2MRR.csv</csv><br />
<br />
====Task 2 Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/qbtTask2QuerySimple.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/qbtTask2QuerySimple.csv]<br />
<br />
===Runtime Results===<br />
<br />
<csv>2011/qbt/qbtRunTime.csv</csv><br />
<br />
[[Category: Results]]</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=2011:Query-by-Tapping_Results&diff=85532011:Query-by-Tapping Results2011-10-31T18:28:22Z<p>Gzhu1: </p>
<hr />
<div>==Introduction==<br />
These are the results for the 2011 running of the Query-by-tappingn task. For background information about this task set please refer to the [[2011:Query_by_Tapping]] page. <br />
<br />
===Task Descriptions===<br />
<br />
'''Task 1 [[#Task 1 Results|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:<br />
<br />
* [[#Task 1a, Jang's Dataset Results|Jang's Dataset]] Roger Jang's [http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/MIR-QBT.rar 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. <br />
* [[#Task 1b, Hsiao's Dataset Results|Hsiao's Dataset]] Show Hsiao's [http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/QBT_symbolic.rar QBT_symbolic]: This dataset contains only onset files (obtained from the user's tapping on keyboard). 143 ground truth songs with 410 queries. <br />
<br />
<br />
'''Task 2 [[#Task 2 Results|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.<br />
<br />
===General Legend===<br />
====Team ID====<br />
{| border="1" cellspacing="0" style="text-align: left; width: 800px;"<br />
|- style="background: yellow;"<br />
! width="80" | Sub code <br />
! width="200" | Submission name <br />
! width="80" style="text-align: center;" | Abstract <br />
! width="440" | Contributors<br />
|-<br />
! CJ1<br />
| QBT || style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2011/CJ1.pdf PDF] || [http://mirlab.org ChunTa Chen], [http://mirlab.org Roger Jang]<br />
|}<br />
<br />
===Task 1 Results===<br />
<br />
<br />
===Task 1a, Jang's Dataset Results===<br />
<br />
=====Task 1a Overall Results=====<br />
<csv>2011/qbt/2011qbtTask1a.csv</csv><br />
<br />
====Task 1a Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask1aSimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask1aMrrByGroup.csv</csv><br />
<br />
====Task 1a Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/qbtTask1aQuerySimple.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/qbtTask1aQueryMRR.csv]<br />
<br />
===Task 1b, Hsiao's Dataset Results===<br />
<br />
=====Task 1b Overall Results=====<br />
<csv p=2>2011/qbt/2011qbtTask1b.csv</csv><br />
<br />
====Task 1b Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask1bSimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1bSimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask1bMrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1bMrrByGroup.friedman.tukeyKramerHSD.png|500px ]]<br />
<br />
====Task 1b Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/qbtTask1bSimple.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/qbtTask1bMRR</csv><br />
<br />
====Task 1b Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/qbtTask1bQuerySimple.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/qbtTask1bQueryMRR.csv]<br />
<br />
===Task 2 Results===<br />
<br />
<br />
=====Task 2 Overall Results=====<br />
<csv>2011/qbt/2011qbtTask2.csv</csv><br />
<br />
<br />
<br />
====Task 2 Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/qbtTask2Simple.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/qbtTask2MRR.csv</csv><br />
<br />
====Task 2 Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/qbtTask2QuerySimple.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/qbtTask2QuerySimple.csv]<br />
<br />
===Runtime Results===<br />
<br />
<csv>2011/qbt/qbtRunTime.csv</csv><br />
<br />
[[Category: Results]]</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=2011:Query-by-Tapping_Results&diff=85522011:Query-by-Tapping Results2011-10-31T18:26:17Z<p>Gzhu1: /* Task 1a Summary Results by Query */</p>
<hr />
<div>==Introduction==<br />
These are the results for the 2011 running of the Query-by-tappingn task. For background information about this task set please refer to the [[2011:Query_by_Tapping]] page. <br />
<br />
===Task Descriptions===<br />
<br />
'''Task 1 [[#Task 1 Results|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:<br />
<br />
* [[#Task 1a, Jang's Dataset Results|Jang's Dataset]] Roger Jang's [http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/MIR-QBT.rar 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. <br />
* [[#Task 1b, Hsiao's Dataset Results|Hsiao's Dataset]] Show Hsiao's [http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/QBT_symbolic.rar QBT_symbolic]: This dataset contains only onset files (obtained from the user's tapping on keyboard). 143 ground truth songs with 410 queries. <br />
<br />
<br />
'''Task 2 [[#Task 2 Results|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.<br />
<br />
===General Legend===<br />
====Team ID====<br />
{| border="1" cellspacing="0" style="text-align: left; width: 800px;"<br />
|- style="background: yellow;"<br />
! width="80" | Sub code <br />
! width="200" | Submission name <br />
! width="80" style="text-align: center;" | Abstract <br />
! width="440" | Contributors<br />
|-<br />
! CJ1<br />
| QBT || style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2011/CJ1.pdf PDF] || [http://mirlab.org ChunTa Chen], [http://mirlab.org Roger Jang]<br />
|}<br />
<br />
===Task 1 Results===<br />
<br />
<br />
===Task 1a, Jang's Dataset Results===<br />
<br />
=====Task 1a Overall Results=====<br />
<csv>2011/qbt/2011qbtTask1a.csv</csv><br />
<br />
====Task 1a Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask1aSimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask1aMrrByGroup.csv</csv><br />
<br />
====Task 1a Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/qbtTask1aQuerySimple.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/qbtTask1aQueryMRR.csv]<br />
<br />
===Task 1b, Hsiao's Dataset Results===<br />
<br />
=====Task 1b Overall Results=====<br />
<csv p=2>2011/qbt/2011qbtTask1b.csv</csv><br />
<br />
====Task 1b Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask1bSimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1bSimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask1bMrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1bMrrByGroup.friedman.tukeyKramerHSD.png|500px ]]<br />
<br />
====Task 1b Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask1bSimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask1bMrrByGroup.csv</csv><br />
<br />
====Task 1b Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1bSimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1bMrrByQuery.csv]<br />
<br />
===Task 2 Results===<br />
<br />
<br />
=====Task 2 Overall Results=====<br />
<csv>2011/qbt/2011qbtTask2.csv</csv><br />
<br />
====Task 2 Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask2SimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask2SimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask2MrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask2MrrByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
====Task 2 Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask2SimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask2MrrByGroup.csv</csv><br />
<br />
====Task 2 Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask2SimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask2MrrByQuery.csv]<br />
<br />
===Runtime Results===<br />
<br />
<csv>2011/qbt/qbtRunTime.csv</csv><br />
<br />
[[Category: Results]]</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=2011:Query-by-Tapping_Results&diff=85512011:Query-by-Tapping Results2011-10-31T18:06:52Z<p>Gzhu1: /* Task 1a Friedman's Test for Significant Differences */</p>
<hr />
<div>==Introduction==<br />
These are the results for the 2011 running of the Query-by-tappingn task. For background information about this task set please refer to the [[2011:Query_by_Tapping]] page. <br />
<br />
===Task Descriptions===<br />
<br />
'''Task 1 [[#Task 1 Results|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:<br />
<br />
* [[#Task 1a, Jang's Dataset Results|Jang's Dataset]] Roger Jang's [http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/MIR-QBT.rar 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. <br />
* [[#Task 1b, Hsiao's Dataset Results|Hsiao's Dataset]] Show Hsiao's [http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/QBT_symbolic.rar QBT_symbolic]: This dataset contains only onset files (obtained from the user's tapping on keyboard). 143 ground truth songs with 410 queries. <br />
<br />
<br />
'''Task 2 [[#Task 2 Results|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.<br />
<br />
===General Legend===<br />
====Team ID====<br />
{| border="1" cellspacing="0" style="text-align: left; width: 800px;"<br />
|- style="background: yellow;"<br />
! width="80" | Sub code <br />
! width="200" | Submission name <br />
! width="80" style="text-align: center;" | Abstract <br />
! width="440" | Contributors<br />
|-<br />
! CJ1<br />
| QBT || style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2011/CJ1.pdf PDF] || [http://mirlab.org ChunTa Chen], [http://mirlab.org Roger Jang]<br />
|}<br />
<br />
===Task 1 Results===<br />
<br />
<br />
===Task 1a, Jang's Dataset Results===<br />
<br />
=====Task 1a Overall Results=====<br />
<csv>2011/qbt/2011qbtTask1a.csv</csv><br />
<br />
====Task 1a Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask1aSimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask1aMrrByGroup.csv</csv><br />
<br />
====Task 1a Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1aSimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1aMrrByQuery.csv]<br />
<br />
<br />
===Task 1b, Hsiao's Dataset Results===<br />
<br />
=====Task 1b Overall Results=====<br />
<csv p=2>2011/qbt/2011qbtTask1b.csv</csv><br />
<br />
====Task 1b Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask1bSimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1bSimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask1bMrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1bMrrByGroup.friedman.tukeyKramerHSD.png|500px ]]<br />
<br />
====Task 1b Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask1bSimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask1bMrrByGroup.csv</csv><br />
<br />
====Task 1b Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1bSimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1bMrrByQuery.csv]<br />
<br />
===Task 2 Results===<br />
<br />
<br />
=====Task 2 Overall Results=====<br />
<csv>2011/qbt/2011qbtTask2.csv</csv><br />
<br />
====Task 2 Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask2SimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask2SimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask2MrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask2MrrByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
====Task 2 Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask2SimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask2MrrByGroup.csv</csv><br />
<br />
====Task 2 Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask2SimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask2MrrByQuery.csv]<br />
<br />
===Runtime Results===<br />
<br />
<csv>2011/qbt/qbtRunTime.csv</csv><br />
<br />
[[Category: Results]]</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=2011:Query-by-Tapping_Results&diff=85502011:Query-by-Tapping Results2011-10-31T18:06:29Z<p>Gzhu1: /* Task 2 Overall Results */</p>
<hr />
<div>==Introduction==<br />
These are the results for the 2011 running of the Query-by-tappingn task. For background information about this task set please refer to the [[2011:Query_by_Tapping]] page. <br />
<br />
===Task Descriptions===<br />
<br />
'''Task 1 [[#Task 1 Results|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:<br />
<br />
* [[#Task 1a, Jang's Dataset Results|Jang's Dataset]] Roger Jang's [http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/MIR-QBT.rar 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. <br />
* [[#Task 1b, Hsiao's Dataset Results|Hsiao's Dataset]] Show Hsiao's [http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/QBT_symbolic.rar QBT_symbolic]: This dataset contains only onset files (obtained from the user's tapping on keyboard). 143 ground truth songs with 410 queries. <br />
<br />
<br />
'''Task 2 [[#Task 2 Results|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.<br />
<br />
===General Legend===<br />
====Team ID====<br />
{| border="1" cellspacing="0" style="text-align: left; width: 800px;"<br />
|- style="background: yellow;"<br />
! width="80" | Sub code <br />
! width="200" | Submission name <br />
! width="80" style="text-align: center;" | Abstract <br />
! width="440" | Contributors<br />
|-<br />
! CJ1<br />
| QBT || style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2011/CJ1.pdf PDF] || [http://mirlab.org ChunTa Chen], [http://mirlab.org Roger Jang]<br />
|}<br />
<br />
===Task 1 Results===<br />
<br />
<br />
===Task 1a, Jang's Dataset Results===<br />
<br />
=====Task 1a Overall Results=====<br />
<csv>2011/qbt/2011qbtTask1a.csv</csv><br />
<br />
====Task 1a Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask1aSimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1aSimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask1aMrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1aMrrByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
====Task 1a Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask1aSimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask1aMrrByGroup.csv</csv><br />
<br />
====Task 1a Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1aSimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1aMrrByQuery.csv]<br />
<br />
<br />
===Task 1b, Hsiao's Dataset Results===<br />
<br />
=====Task 1b Overall Results=====<br />
<csv p=2>2011/qbt/2011qbtTask1b.csv</csv><br />
<br />
====Task 1b Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask1bSimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1bSimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask1bMrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1bMrrByGroup.friedman.tukeyKramerHSD.png|500px ]]<br />
<br />
====Task 1b Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask1bSimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask1bMrrByGroup.csv</csv><br />
<br />
====Task 1b Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1bSimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1bMrrByQuery.csv]<br />
<br />
===Task 2 Results===<br />
<br />
<br />
=====Task 2 Overall Results=====<br />
<csv>2011/qbt/2011qbtTask2.csv</csv><br />
<br />
====Task 2 Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask2SimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask2SimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask2MrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask2MrrByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
====Task 2 Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask2SimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask2MrrByGroup.csv</csv><br />
<br />
====Task 2 Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask2SimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask2MrrByQuery.csv]<br />
<br />
===Runtime Results===<br />
<br />
<csv>2011/qbt/qbtRunTime.csv</csv><br />
<br />
[[Category: Results]]</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=2011:Query-by-Tapping_Results&diff=85492011:Query-by-Tapping Results2011-10-31T18:06:15Z<p>Gzhu1: /* Task 1b Overall Results */</p>
<hr />
<div>==Introduction==<br />
These are the results for the 2011 running of the Query-by-tappingn task. For background information about this task set please refer to the [[2011:Query_by_Tapping]] page. <br />
<br />
===Task Descriptions===<br />
<br />
'''Task 1 [[#Task 1 Results|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:<br />
<br />
* [[#Task 1a, Jang's Dataset Results|Jang's Dataset]] Roger Jang's [http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/MIR-QBT.rar 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. <br />
* [[#Task 1b, Hsiao's Dataset Results|Hsiao's Dataset]] Show Hsiao's [http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/QBT_symbolic.rar QBT_symbolic]: This dataset contains only onset files (obtained from the user's tapping on keyboard). 143 ground truth songs with 410 queries. <br />
<br />
<br />
'''Task 2 [[#Task 2 Results|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.<br />
<br />
===General Legend===<br />
====Team ID====<br />
{| border="1" cellspacing="0" style="text-align: left; width: 800px;"<br />
|- style="background: yellow;"<br />
! width="80" | Sub code <br />
! width="200" | Submission name <br />
! width="80" style="text-align: center;" | Abstract <br />
! width="440" | Contributors<br />
|-<br />
! CJ1<br />
| QBT || style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2011/CJ1.pdf PDF] || [http://mirlab.org ChunTa Chen], [http://mirlab.org Roger Jang]<br />
|}<br />
<br />
===Task 1 Results===<br />
<br />
<br />
===Task 1a, Jang's Dataset Results===<br />
<br />
=====Task 1a Overall Results=====<br />
<csv>2011/qbt/2011qbtTask1a.csv</csv><br />
<br />
====Task 1a Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask1aSimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1aSimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask1aMrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1aMrrByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
====Task 1a Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask1aSimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask1aMrrByGroup.csv</csv><br />
<br />
====Task 1a Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1aSimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1aMrrByQuery.csv]<br />
<br />
<br />
===Task 1b, Hsiao's Dataset Results===<br />
<br />
=====Task 1b Overall Results=====<br />
<csv p=2>2011/qbt/2011qbtTask1b.csv</csv><br />
<br />
====Task 1b Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask1bSimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1bSimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask1bMrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1bMrrByGroup.friedman.tukeyKramerHSD.png|500px ]]<br />
<br />
====Task 1b Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask1bSimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask1bMrrByGroup.csv</csv><br />
<br />
====Task 1b Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1bSimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1bMrrByQuery.csv]<br />
<br />
===Task 2 Results===<br />
<br />
<br />
=====Task 2 Overall Results=====<br />
<csv>2011/qbt/qbtTask2MRR.csv</csv><br />
<br />
====Task 2 Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask2SimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask2SimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask2MrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask2MrrByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
====Task 2 Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask2SimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask2MrrByGroup.csv</csv><br />
<br />
====Task 2 Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask2SimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask2MrrByQuery.csv]<br />
<br />
===Runtime Results===<br />
<br />
<csv>2011/qbt/qbtRunTime.csv</csv><br />
<br />
[[Category: Results]]</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=2011:Query-by-Tapping_Results&diff=85482011:Query-by-Tapping Results2011-10-31T18:05:39Z<p>Gzhu1: /* Task 1a Overall Results */</p>
<hr />
<div>==Introduction==<br />
These are the results for the 2011 running of the Query-by-tappingn task. For background information about this task set please refer to the [[2011:Query_by_Tapping]] page. <br />
<br />
===Task Descriptions===<br />
<br />
'''Task 1 [[#Task 1 Results|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:<br />
<br />
* [[#Task 1a, Jang's Dataset Results|Jang's Dataset]] Roger Jang's [http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/MIR-QBT.rar 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. <br />
* [[#Task 1b, Hsiao's Dataset Results|Hsiao's Dataset]] Show Hsiao's [http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/QBT_symbolic.rar QBT_symbolic]: This dataset contains only onset files (obtained from the user's tapping on keyboard). 143 ground truth songs with 410 queries. <br />
<br />
<br />
'''Task 2 [[#Task 2 Results|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.<br />
<br />
===General Legend===<br />
====Team ID====<br />
{| border="1" cellspacing="0" style="text-align: left; width: 800px;"<br />
|- style="background: yellow;"<br />
! width="80" | Sub code <br />
! width="200" | Submission name <br />
! width="80" style="text-align: center;" | Abstract <br />
! width="440" | Contributors<br />
|-<br />
! CJ1<br />
| QBT || style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2011/CJ1.pdf PDF] || [http://mirlab.org ChunTa Chen], [http://mirlab.org Roger Jang]<br />
|}<br />
<br />
===Task 1 Results===<br />
<br />
<br />
===Task 1a, Jang's Dataset Results===<br />
<br />
=====Task 1a Overall Results=====<br />
<csv>2011/qbt/2011qbtTask1a.csv</csv><br />
<br />
====Task 1a Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask1aSimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1aSimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask1aMrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1aMrrByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
====Task 1a Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask1aSimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask1aMrrByGroup.csv</csv><br />
<br />
====Task 1a Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1aSimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1aMrrByQuery.csv]<br />
<br />
<br />
===Task 1b, Hsiao's Dataset Results===<br />
<br />
=====Task 1b Overall Results=====<br />
<csv p=2>2011/qbt/qbtTask1bMRR.csv</csv><br />
<br />
====Task 1b Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask1bSimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1bSimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask1bMrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1bMrrByGroup.friedman.tukeyKramerHSD.png|500px ]]<br />
<br />
====Task 1b Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask1bSimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask1bMrrByGroup.csv</csv><br />
<br />
====Task 1b Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1bSimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1bMrrByQuery.csv]<br />
<br />
===Task 2 Results===<br />
<br />
<br />
=====Task 2 Overall Results=====<br />
<csv>2011/qbt/qbtTask2MRR.csv</csv><br />
<br />
====Task 2 Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask2SimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask2SimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask2MrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask2MrrByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
====Task 2 Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask2SimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask2MrrByGroup.csv</csv><br />
<br />
====Task 2 Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask2SimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask2MrrByQuery.csv]<br />
<br />
===Runtime Results===<br />
<br />
<csv>2011/qbt/qbtRunTime.csv</csv><br />
<br />
[[Category: Results]]</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=2011:Query-by-Tapping_Results&diff=85472011:Query-by-Tapping Results2011-10-31T16:07:14Z<p>Gzhu1: /* Task 2 Overall Results */</p>
<hr />
<div>==Introduction==<br />
These are the results for the 2011 running of the Query-by-tappingn task. For background information about this task set please refer to the [[2011:Query_by_Tapping]] page. <br />
<br />
===Task Descriptions===<br />
<br />
'''Task 1 [[#Task 1 Results|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:<br />
<br />
* [[#Task 1a, Jang's Dataset Results|Jang's Dataset]] Roger Jang's [http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/MIR-QBT.rar 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. <br />
* [[#Task 1b, Hsiao's Dataset Results|Hsiao's Dataset]] Show Hsiao's [http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/QBT_symbolic.rar QBT_symbolic]: This dataset contains only onset files (obtained from the user's tapping on keyboard). 143 ground truth songs with 410 queries. <br />
<br />
<br />
'''Task 2 [[#Task 2 Results|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.<br />
<br />
===General Legend===<br />
====Team ID====<br />
{| border="1" cellspacing="0" style="text-align: left; width: 800px;"<br />
|- style="background: yellow;"<br />
! width="80" | Sub code <br />
! width="200" | Submission name <br />
! width="80" style="text-align: center;" | Abstract <br />
! width="440" | Contributors<br />
|-<br />
! CJ1<br />
| QBT || style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2011/CJ1.pdf PDF] || [http://mirlab.org ChunTa Chen], [http://mirlab.org Roger Jang]<br />
|}<br />
<br />
===Task 1 Results===<br />
<br />
<br />
===Task 1a, Jang's Dataset Results===<br />
<br />
=====Task 1a Overall Results=====<br />
<csv>2011/qbt/qbtTask1aMRR.csv</csv><br />
<br />
====Task 1a Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask1aSimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1aSimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask1aMrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1aMrrByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
====Task 1a Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask1aSimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask1aMrrByGroup.csv</csv><br />
<br />
====Task 1a Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1aSimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1aMrrByQuery.csv]<br />
<br />
<br />
===Task 1b, Hsiao's Dataset Results===<br />
<br />
=====Task 1b Overall Results=====<br />
<csv p=2>2011/qbt/qbtTask1bMRR.csv</csv><br />
<br />
====Task 1b Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask1bSimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1bSimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask1bMrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1bMrrByGroup.friedman.tukeyKramerHSD.png|500px ]]<br />
<br />
====Task 1b Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask1bSimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask1bMrrByGroup.csv</csv><br />
<br />
====Task 1b Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1bSimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1bMrrByQuery.csv]<br />
<br />
===Task 2 Results===<br />
<br />
<br />
=====Task 2 Overall Results=====<br />
<csv>2011/qbt/qbtTask2MRR.csv</csv><br />
<br />
====Task 2 Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask2SimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask2SimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask2MrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask2MrrByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
====Task 2 Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask2SimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask2MrrByGroup.csv</csv><br />
<br />
====Task 2 Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask2SimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask2MrrByQuery.csv]<br />
<br />
===Runtime Results===<br />
<br />
<csv>2011/qbt/qbtRunTime.csv</csv><br />
<br />
[[Category: Results]]</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=2011:Query-by-Tapping_Results&diff=85462011:Query-by-Tapping Results2011-10-31T16:06:59Z<p>Gzhu1: /* Task 1b Overall Results */</p>
<hr />
<div>==Introduction==<br />
These are the results for the 2011 running of the Query-by-tappingn task. For background information about this task set please refer to the [[2011:Query_by_Tapping]] page. <br />
<br />
===Task Descriptions===<br />
<br />
'''Task 1 [[#Task 1 Results|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:<br />
<br />
* [[#Task 1a, Jang's Dataset Results|Jang's Dataset]] Roger Jang's [http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/MIR-QBT.rar 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. <br />
* [[#Task 1b, Hsiao's Dataset Results|Hsiao's Dataset]] Show Hsiao's [http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/QBT_symbolic.rar QBT_symbolic]: This dataset contains only onset files (obtained from the user's tapping on keyboard). 143 ground truth songs with 410 queries. <br />
<br />
<br />
'''Task 2 [[#Task 2 Results|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.<br />
<br />
===General Legend===<br />
====Team ID====<br />
{| border="1" cellspacing="0" style="text-align: left; width: 800px;"<br />
|- style="background: yellow;"<br />
! width="80" | Sub code <br />
! width="200" | Submission name <br />
! width="80" style="text-align: center;" | Abstract <br />
! width="440" | Contributors<br />
|-<br />
! CJ1<br />
| QBT || style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2011/CJ1.pdf PDF] || [http://mirlab.org ChunTa Chen], [http://mirlab.org Roger Jang]<br />
|}<br />
<br />
===Task 1 Results===<br />
<br />
<br />
===Task 1a, Jang's Dataset Results===<br />
<br />
=====Task 1a Overall Results=====<br />
<csv>2011/qbt/qbtTask1aMRR.csv</csv><br />
<br />
====Task 1a Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask1aSimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1aSimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask1aMrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1aMrrByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
====Task 1a Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask1aSimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask1aMrrByGroup.csv</csv><br />
<br />
====Task 1a Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1aSimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1aMrrByQuery.csv]<br />
<br />
<br />
===Task 1b, Hsiao's Dataset Results===<br />
<br />
=====Task 1b Overall Results=====<br />
<csv p=2>2011/qbt/qbtTask1bMRR.csv</csv><br />
<br />
====Task 1b Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask1bSimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1bSimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask1bMrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1bMrrByGroup.friedman.tukeyKramerHSD.png|500px ]]<br />
<br />
====Task 1b Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask1bSimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask1bMrrByGroup.csv</csv><br />
<br />
====Task 1b Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1bSimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1bMrrByQuery.csv]<br />
<br />
===Task 2 Results===<br />
<br />
<br />
=====Task 2 Overall Results=====<br />
<csv>2011/qbt/QbtFinalTask2.csv</csv><br />
<br />
====Task 2 Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask2SimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask2SimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask2MrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask2MrrByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
====Task 2 Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask2SimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask2MrrByGroup.csv</csv><br />
<br />
====Task 2 Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask2SimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask2MrrByQuery.csv]<br />
<br />
===Runtime Results===<br />
<br />
<csv>2011/qbt/qbtRunTime.csv</csv><br />
<br />
[[Category: Results]]</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=2011:Query-by-Tapping_Results&diff=85452011:Query-by-Tapping Results2011-10-31T16:06:38Z<p>Gzhu1: /* Task 1a Overall Results */</p>
<hr />
<div>==Introduction==<br />
These are the results for the 2011 running of the Query-by-tappingn task. For background information about this task set please refer to the [[2011:Query_by_Tapping]] page. <br />
<br />
===Task Descriptions===<br />
<br />
'''Task 1 [[#Task 1 Results|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:<br />
<br />
* [[#Task 1a, Jang's Dataset Results|Jang's Dataset]] Roger Jang's [http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/MIR-QBT.rar 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. <br />
* [[#Task 1b, Hsiao's Dataset Results|Hsiao's Dataset]] Show Hsiao's [http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/QBT_symbolic.rar QBT_symbolic]: This dataset contains only onset files (obtained from the user's tapping on keyboard). 143 ground truth songs with 410 queries. <br />
<br />
<br />
'''Task 2 [[#Task 2 Results|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.<br />
<br />
===General Legend===<br />
====Team ID====<br />
{| border="1" cellspacing="0" style="text-align: left; width: 800px;"<br />
|- style="background: yellow;"<br />
! width="80" | Sub code <br />
! width="200" | Submission name <br />
! width="80" style="text-align: center;" | Abstract <br />
! width="440" | Contributors<br />
|-<br />
! CJ1<br />
| QBT || style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2011/CJ1.pdf PDF] || [http://mirlab.org ChunTa Chen], [http://mirlab.org Roger Jang]<br />
|}<br />
<br />
===Task 1 Results===<br />
<br />
<br />
===Task 1a, Jang's Dataset Results===<br />
<br />
=====Task 1a Overall Results=====<br />
<csv>2011/qbt/qbtTask1aMRR.csv</csv><br />
<br />
====Task 1a Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask1aSimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1aSimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask1aMrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1aMrrByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
====Task 1a Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask1aSimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask1aMrrByGroup.csv</csv><br />
<br />
====Task 1a Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1aSimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1aMrrByQuery.csv]<br />
<br />
<br />
===Task 1b, Hsiao's Dataset Results===<br />
<br />
=====Task 1b Overall Results=====<br />
<csv p=2>2011/qbt/QbtFinalTask1b.csv</csv><br />
<br />
====Task 1b Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask1bSimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1bSimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask1bMrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1bMrrByGroup.friedman.tukeyKramerHSD.png|500px ]]<br />
<br />
====Task 1b Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask1bSimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask1bMrrByGroup.csv</csv><br />
<br />
====Task 1b Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1bSimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1bMrrByQuery.csv]<br />
<br />
===Task 2 Results===<br />
<br />
<br />
=====Task 2 Overall Results=====<br />
<csv>2011/qbt/QbtFinalTask2.csv</csv><br />
<br />
====Task 2 Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask2SimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask2SimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask2MrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask2MrrByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
====Task 2 Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask2SimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask2MrrByGroup.csv</csv><br />
<br />
====Task 2 Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask2SimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask2MrrByQuery.csv]<br />
<br />
===Runtime Results===<br />
<br />
<csv>2011/qbt/qbtRunTime.csv</csv><br />
<br />
[[Category: Results]]</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=2011:Query-by-Tapping_Results&diff=85412011:Query-by-Tapping Results2011-10-25T13:56:31Z<p>Gzhu1: /* Team ID */</p>
<hr />
<div>==Introduction==<br />
These are the results for the 2011 running of the Query-by-tappingn task. For background information about this task set please refer to the [[2011:Query_by_Tapping]] page. <br />
<br />
===Task Descriptions===<br />
<br />
'''Task 1 [[#Task 1 Results|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:<br />
<br />
* [[#Task 1a, Jang's Dataset Results|Jang's Dataset]] Roger Jang's [http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/MIR-QBT.rar 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. <br />
* [[#Task 1b, Hsiao's Dataset Results|Hsiao's Dataset]] Show Hsiao's [http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/QBT_symbolic.rar QBT_symbolic]: This dataset contains only onset files (obtained from the user's tapping on keyboard). 143 ground truth songs with 410 queries. <br />
<br />
<br />
'''Task 2 [[#Task 2 Results|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.<br />
<br />
===General Legend===<br />
====Team ID====<br />
{| border="1" cellspacing="0" style="text-align: left; width: 800px;"<br />
|- style="background: yellow;"<br />
! width="80" | Sub code <br />
! width="200" | Submission name <br />
! width="80" style="text-align: center;" | Abstract <br />
! width="440" | Contributors<br />
|-<br />
! CJ1<br />
| QBT || style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2011/CJ1.pdf PDF] || [http://mirlab.org ChunTa Chen], [http://mirlab.org Roger Jang]<br />
|}<br />
<br />
===Task 1 Results===<br />
<br />
<br />
===Task 1a, Jang's Dataset Results===<br />
<br />
=====Task 1a Overall Results=====<br />
<csv>2011/qbt/QbtFinalTask1a.csv</csv><br />
<br />
====Task 1a Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask1aSimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1aSimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask1aMrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1aMrrByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
====Task 1a Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask1aSimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask1aMrrByGroup.csv</csv><br />
<br />
====Task 1a Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1aSimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1aMrrByQuery.csv]<br />
<br />
<br />
===Task 1b, Hsiao's Dataset Results===<br />
<br />
=====Task 1b Overall Results=====<br />
<csv p=2>2011/qbt/QbtFinalTask1b.csv</csv><br />
<br />
====Task 1b Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask1bSimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1bSimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask1bMrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask1bMrrByGroup.friedman.tukeyKramerHSD.png|500px ]]<br />
<br />
====Task 1b Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask1bSimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask1bMrrByGroup.csv</csv><br />
<br />
====Task 1b Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1bSimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask1bMrrByQuery.csv]<br />
<br />
===Task 2 Results===<br />
<br />
<br />
=====Task 2 Overall Results=====<br />
<csv>2011/qbt/QbtFinalTask2.csv</csv><br />
<br />
====Task 2 Friedman's Test for Significant Differences====<br />
The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups.<br />
Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);<br />
<br />
Simple Hit/Miss Count:<br />
<csv>2011/qbt/friedman/QbtTask2SimpleByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask2SimpleByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
MRR Method:<br />
<csv>2011/qbt/friedman/QbtTask2MrrByGroup.friedman.tukeyKramerHSD.csv</csv><br />
<br />
[[Image:2011QbtTask2MrrByGroup.friedman.tukeyKramerHSD.png|500px]]<br />
<br />
====Task 2 Summary Results by Query Group====<br />
Simple Hit/Miss Counting<br />
<csv p=2>2011/qbt/QbtTask2SimpleByGroup.csv</csv><br />
<br />
MRR Method<br />
<csv p=2>2011/qbt/QbtTask2MrrByGroup.csv</csv><br />
<br />
====Task 2 Summary Results by Query ====<br />
Simple Hit/Miss Counting<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask2SimpleByQuery.csv]<br />
<br />
MRR Method<br />
[https://www.music-ir.org/mirex/results/2011/qbt/QbtTask2MrrByQuery.csv]<br />
<br />
===Runtime Results===<br />
<br />
<csv>2011/qbt/qbtRunTime.csv</csv><br />
<br />
[[Category: Results]]</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=2011:MIREX2011_Results&diff=85342011:MIREX2011 Results2011-10-24T16:37:26Z<p>Gzhu1: /* OVERALL RESULTS POSTERS */</p>
<hr />
<div>==OVERALL RESULTS POSTERS <!--(First Version: Will need updating as last runs are completed)-->==<br />
<br />
[https://www.music-ir.org/mirex/results/2011/mirex_2011_poster.pdf MIREX 2011 Overall Results Posters (PDF)]<br />
<br />
==Results by Task ==<br />
This year we ran many MIREX 2011 Tasks using the new [http://nema.lis.uiuc.edu/drupal/?q=nema/architecture NEMA MIREX DIY] infrastructure. Task results with "(DIY)" appended are those generated using the NEMA MIREX DIY system. Where appropriate, do explore the various new outputs that help visualize both individual and task-wide comparative performances. A demonstration [https://www.music-ir.org/diy-demo/ video] of the NEMA MIREX DIY system can be found is also available.<br />
<br />
<br />
===Train-Test Task Set===<br />
* [Audio Classical Composer Identification Results ]&nbsp;&nbsp; (DIY)<br />
* [ Audio Latin Genre Classification Results ]&nbsp;&nbsp; (DIY)<br />
* [ Audio Music Mood Classification Results ]&nbsp;&nbsp; (DIY)<br />
* [ Audio Mixed Popular Genre Classification Results ]&nbsp;&nbsp; (DIY)<br />
<br />
===Other Tasks===<br />
<br />
* Audio Beat Tracking Results <br />
** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/abt/mck/ MCK Dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/abt/maz/ MAZ Dataset] &nbsp;(DIY)<br />
* [https://nema.lis.illinois.edu/nema_out/mirex2011/results/ace/ Audio Chord Detection] &nbsp;(DIY)<br />
* [[2011:Audio_Cover_Song_Identification_Results | Audio Cover Song Identification Results]] <br />
* [https://nema.lis.illinois.edu/nema_out/mirex2011/results/akd/ Audio Key Detection Results] &nbsp;(DIY)<br />
* Audio Melody Extraction Results<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/ame/adc04/ ADC04 Dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/ame/mirex05/ MIREX05 Dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/ame/indian08/ INDIAN08 Dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/ame/mirex09_0dB/ MIREX09 0dB Dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/ame/mirex09_m5dB/ MIREX09 -5dB Dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/ame/mirex09_p5dB/ MIREX09 +5dB Dataset] &nbsp;(DIY)<br />
* [[2011:Audio_Music_Similarity_and_Retrieval_Results | Audio Music Similarity and Retrieval Results]]<br />
* [https://nema.lis.illinois.edu/nema_out/mirex2011/results/aod/ Audio Onset Detection Results] &nbsp;(DIY)<br />
* Audio Tag Classification Results<br />
** Major Miner Tag dataset<br />
*** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/atg/subtask1_report/bin/ Binary relevance (classification evaluation)] &nbsp;(DIY)<br />
*** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/atg/subtask1_report/aff/ Affinity estimation evaluation] &nbsp;(DIY)<br />
** Mood Tag dataset<br />
*** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/atg/subtask2_report/bin/ Binary relevance (classification evaluation)] &nbsp;(DIY)<br />
*** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/atg/subtask2_report/aff/ Affinity estimation evaluation] &nbsp;(DIY)<br />
* [https://nema.lis.illinois.edu/nema_out/mirex2011/results/ate/ Audio Tempo Estimation Results] &nbsp;(DIY)<br />
* [[2011:Multiple_Fundamental_Frequency_Estimation_&_Tracking_Results | Multiple Fundamental Frequency Estimation & Tracking Results]]<br />
* Music Structure Segmentation Results<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/struct/mirex09/ MIREX09 dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2011/results/struct/mirex10/ MIREX10 dataset] &nbsp;(DIY)<br />
* [[2011:Query-by-Singing/Humming_Results | Query-by-Singing/Humming Results]] <br />
* Query-by-Tapping Results<br />
*[[2011:Real-time_Audio_to_Score_Alignment_(a.k.a._Score_Following)_Results | Real-time Audio to Score Alignment (a.k.a. Score Following) Results ]]<br />
* [[2011:Symbolic_Melodic_Similarity_Results | Symbolic Melodic Similarity Results]]<br />
<br />
== Machine Specifications ==<br />
TBA<br />
<br />
== Runtime for Submissions Run by NEMA DIY ==<br />
<br />
TBA<br />
<br />
[[Category:Results]]</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=2010:MIREX2010_Results&diff=85332010:MIREX2010 Results2011-10-24T03:28:04Z<p>Gzhu1: Reverted edits by Gzhu1 (talk) to last revision by CameronJones</p>
<hr />
<div>==OVERALL RESULTS POSTERS (First Version: Will need updating as last runs are completed)==<br />
[https://www.music-ir.org/mirex/results/2010/mirex_2010_poster.pdf MIREX 2010 Overall Results Posters (PDF)]<br />
<br />
==Results by Task ==<br />
This year we ran many MIREX 2010 Tasks using the new [http://nema.lis.uiuc.edu/drupal/?q=nema/architecture NEMA MIREX DIY] infrastructure. Task results with "(DIY)" appended are those generated using the NEMA MIREX DIY system. Where appropriate, do explore the various new outputs that help visualize both individual and task-wide comparative performances. A demonstration [https://www.music-ir.org/diy-demo/ video] of the NEMA MIREX DIY system can be found is also available.<br />
<br />
<br />
===Train-Test Task Set===<br />
* [https://nema.lis.illinois.edu/nema_out/4ffcb482-b83c-4ba6-bc42-9b538b31143c/results/evaluation/ Audio Classical Composer Identification Results ]&nbsp;&nbsp; (DIY)<br />
* [https://nema.lis.illinois.edu/nema_out/6731c97a-240c-4d3d-8be9-90d715ea04e1/results/evaluation/ Audio Latin Genre Classification Results ]&nbsp;&nbsp; (DIY)<br />
* [https://nema.lis.illinois.edu/nema_out/9b11a5c8-9fcf-4029-95eb-51ed561cfb5f/results/evaluation/ Audio Music Mood Classification Results ]&nbsp;&nbsp; (DIY)<br />
* [https://nema.lis.illinois.edu/nema_out/2b5839b3-3012-4f76-8807-31823588ae25/results/evaluation/ Audio Mixed Popular Genre Classification Results ]&nbsp;&nbsp; (DIY)<br />
<br />
===Other Tasks===<br />
<br />
* Audio Beat Tracking Results <br />
** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/abt/mck/ MCK Dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/abt/maz/ MAZ Dataset] &nbsp;(DIY)<br />
* [https://nema.lis.illinois.edu/nema_out/mirex2010/results/ace/ Audio Chord Detection] &nbsp;(DIY)<br />
* [[2010:Audio_Cover_Song_Identification_Results | Audio Cover Song Identification Results]] <br />
* [https://nema.lis.illinois.edu/nema_out/mirex2010/results/akd/ Audio Key Detection Results] &nbsp;(DIY)<br />
* Audio Melody Extraction Results<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/ame/adc04/ ADC04 Dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/ame/mirex05/ MIREX05 Dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/ame/indian08/ INDIAN08 Dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/ame/mirex09_0dB/ MIREX09 0dB Dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/ame/mirex09_m5dB/ MIREX09 -5dB Dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/ame/mirex09_p5dB/ MIREX09 +5dB Dataset] &nbsp;(DIY)<br />
* [[2010:Audio_Music_Similarity_and_Retrieval_Results | Audio Music Similarity and Retrieval Results]]<br />
* [https://nema.lis.illinois.edu/nema_out/mirex2010/results/aod/ Audio Onset Detection Results] &nbsp;(DIY)<br />
* Audio Tag Classification Results<br />
** Major Miner Tag dataset<br />
*** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/atg/subtask1_report/bin/ Binary relevance (classification evaluation)] &nbsp;(DIY)<br />
*** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/atg/subtask1_report/aff/ Affinity estimation evaluation] &nbsp;(DIY)<br />
** Mood Tag dataset<br />
*** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/atg/subtask2_report/bin/ Binary relevance (classification evaluation)] &nbsp;(DIY)<br />
*** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/atg/subtask2_report/aff/ Affinity estimation evaluation] &nbsp;(DIY)<br />
* [https://nema.lis.illinois.edu/nema_out/mirex2010/results/ate/ Audio Tempo Estimation Results] &nbsp;(DIY)<br />
* [[2010:Multiple_Fundamental_Frequency_Estimation_&_Tracking_Results | Multiple Fundamental Frequency Estimation & Tracking Results]]<br />
* Music Structure Segmentation Results<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/struct/mirex09/ MIREX09 dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/struct/mirex10/ MIREX10 dataset] &nbsp;(DIY)<br />
* [[2010:Query-by-Singing/Humming_Results | Query-by-Singing/Humming Results]] <br />
* [[2010:Query-by-Tapping_Results | Query-by-Tapping Results]]<br />
*[[2010:Real-time_Audio_to_Score_Alignment_(a.k.a._Score_Following)_Results | Real-time Audio to Score Alignment (a.k.a. Score Following) Results ]]<br />
* [[2010:Symbolic_Melodic_Similarity_Results | Symbolic Melodic Similarity Results]]<br />
<br />
== Machine Specifications ==<br />
<br />
== Runtime for Submissions Run by NEMA DIY ==<br />
<br />
* [[2010:Runtime | Runtime]]<br />
<br />
[[Category:Results]]</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=2010:MIREX2010_Results&diff=85182010:MIREX2010 Results2011-10-22T15:39:32Z<p>Gzhu1: /* OVERALL RESULTS POSTERS (First Version: Will need updating as last runs are completed) */</p>
<hr />
<div>==Results by Task ==<br />
This year we ran many MIREX 2010 Tasks using the new [http://nema.lis.uiuc.edu/drupal/?q=nema/architecture NEMA MIREX DIY] infrastructure. Task results with "(DIY)" appended are those generated using the NEMA MIREX DIY system. Where appropriate, do explore the various new outputs that help visualize both individual and task-wide comparative performances. A demonstration [https://www.music-ir.org/diy-demo/ video] of the NEMA MIREX DIY system can be found is also available.<br />
<br />
<br />
===Train-Test Task Set===<br />
* [https://nema.lis.illinois.edu/nema_out/4ffcb482-b83c-4ba6-bc42-9b538b31143c/results/evaluation/ Audio Classical Composer Identification Results ]&nbsp;&nbsp; (DIY)<br />
* [https://nema.lis.illinois.edu/nema_out/6731c97a-240c-4d3d-8be9-90d715ea04e1/results/evaluation/ Audio Latin Genre Classification Results ]&nbsp;&nbsp; (DIY)<br />
* [https://nema.lis.illinois.edu/nema_out/9b11a5c8-9fcf-4029-95eb-51ed561cfb5f/results/evaluation/ Audio Music Mood Classification Results ]&nbsp;&nbsp; (DIY)<br />
* [https://nema.lis.illinois.edu/nema_out/2b5839b3-3012-4f76-8807-31823588ae25/results/evaluation/ Audio Mixed Popular Genre Classification Results ]&nbsp;&nbsp; (DIY)<br />
<br />
===Other Tasks===<br />
<br />
* Audio Beat Tracking Results <br />
** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/abt/mck/ MCK Dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/abt/maz/ MAZ Dataset] &nbsp;(DIY)<br />
* [https://nema.lis.illinois.edu/nema_out/mirex2010/results/ace/ Audio Chord Detection] &nbsp;(DIY)<br />
* [[2010:Audio_Cover_Song_Identification_Results | Audio Cover Song Identification Results]] <br />
* [https://nema.lis.illinois.edu/nema_out/mirex2010/results/akd/ Audio Key Detection Results] &nbsp;(DIY)<br />
* Audio Melody Extraction Results<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/ame/adc04/ ADC04 Dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/ame/mirex05/ MIREX05 Dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/ame/indian08/ INDIAN08 Dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/ame/mirex09_0dB/ MIREX09 0dB Dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/ame/mirex09_m5dB/ MIREX09 -5dB Dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/ame/mirex09_p5dB/ MIREX09 +5dB Dataset] &nbsp;(DIY)<br />
* [[2010:Audio_Music_Similarity_and_Retrieval_Results | Audio Music Similarity and Retrieval Results]]<br />
* [https://nema.lis.illinois.edu/nema_out/mirex2010/results/aod/ Audio Onset Detection Results] &nbsp;(DIY)<br />
* Audio Tag Classification Results<br />
** Major Miner Tag dataset<br />
*** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/atg/subtask1_report/bin/ Binary relevance (classification evaluation)] &nbsp;(DIY)<br />
*** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/atg/subtask1_report/aff/ Affinity estimation evaluation] &nbsp;(DIY)<br />
** Mood Tag dataset<br />
*** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/atg/subtask2_report/bin/ Binary relevance (classification evaluation)] &nbsp;(DIY)<br />
*** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/atg/subtask2_report/aff/ Affinity estimation evaluation] &nbsp;(DIY)<br />
* [https://nema.lis.illinois.edu/nema_out/mirex2010/results/ate/ Audio Tempo Estimation Results] &nbsp;(DIY)<br />
* [[2010:Multiple_Fundamental_Frequency_Estimation_&_Tracking_Results | Multiple Fundamental Frequency Estimation & Tracking Results]]<br />
* Music Structure Segmentation Results<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/struct/mirex09/ MIREX09 dataset] &nbsp;(DIY)<br />
** [https://nema.lis.illinois.edu/nema_out/mirex2010/results/struct/mirex10/ MIREX10 dataset] &nbsp;(DIY)<br />
* [[2010:Query-by-Singing/Humming_Results | Query-by-Singing/Humming Results]] <br />
* [[2010:Query-by-Tapping_Results | Query-by-Tapping Results]]<br />
*[[2010:Real-time_Audio_to_Score_Alignment_(a.k.a._Score_Following)_Results | Real-time Audio to Score Alignment (a.k.a. Score Following) Results ]]<br />
* [[2010:Symbolic_Melodic_Similarity_Results | Symbolic Melodic Similarity Results]]<br />
<br />
== Machine Specifications ==<br />
<br />
== Runtime for Submissions Run by NEMA DIY ==<br />
<br />
* [[2010:Runtime | Runtime]]<br />
<br />
[[Category:Results]]</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=MediaWiki:Sidebar&diff=8500MediaWiki:Sidebar2011-10-22T03:36:14Z<p>Gzhu1: </p>
<hr />
<div>* mirex by year<br />
** 2011:Main_Page|MIREX 2011<br />
** 2010:Main_Page|MIREX 2010<br />
** 2009:Main_Page|MIREX 2009<br />
** 2008:Main_Page|MIREX 2008<br />
** 2007:Main_Page|MIREX 2007<br />
** 2006:Main_Page|MIREX 2006<br />
** 2005:Main_Page|MIREX 2005<br />
<br />
*results by year<br />
**2011:MIREX2011_Results| MIREX 2011 Results<br />
**2010:MIREX2010_Results| MIREX 2010 Results<br />
**2009:MIREX2009_Results| MIREX 2009 Results <br />
**2008:MIREX2008_Results| MIREX 2008 Results <br />
**2007:MIREX2007_Results| MIREX 2007 Results <br />
**2006:MIREX2006_Results| MIREX 2006 Results <br />
**2005:MIREX2005_Results| MIREX 2005 Results <br />
<br />
*2011 account request<br />
**Special:RequestAccount | Account Request Form<br />
<br />
* SEARCH<br />
<br />
* navigation<br />
** mainpage|MIREX CENTRAL HOME<br />
** portal-url|portal<br />
** currentevents-url|currentevents<br />
** recentchanges-url|recentchanges<br />
** randompage-url|randompage<br />
** helppage|help<br />
<br />
* TOOLBOX<br />
* LANGUAGES</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User:Jacek_Wolkowicz&diff=8424User:Jacek Wolkowicz2011-10-21T04:00:37Z<p>Gzhu1: Creating user page with biography of new user.</p>
<hr />
<div>I am doing my Ph.D studies at Dalhousie University at Dalhousie Natural Language Processing lab. My dissertation is about using text-based methods in symbolic music analysis tasks. I am one of the authors of this year's SMS MIREX submission WK1-WK6. More details about my work can be found on wolkowi.cz/pub</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User_talk:Jacek_Wolkowicz&diff=8425User talk:Jacek Wolkowicz2011-10-21T04:00:37Z<p>Gzhu1: Welcome!</p>
<hr />
<div>'''Welcome to ''MIREX Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [[Help:Contents|help pages]].<br />
Again, welcome and have fun! [[User:Gzhu1|Gzhu1]] 23:00, 20 October 2011 (CDT)</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User:Juwan_Lee&diff=8416User:Juwan Lee2011-10-20T03:52:09Z<p>Gzhu1: Creating user page with biography of new user.</p>
<hr />
<div>I am M.S. candidates of KAIST, Korea. I participate on MIREX 2011 SMS task. Now I research on SMS. Also I I research on Machine learing</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User_talk:Juwan_Lee&diff=8417User talk:Juwan Lee2011-10-20T03:52:09Z<p>Gzhu1: Welcome!</p>
<hr />
<div>'''Welcome to ''MIREX Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [[Help:Contents|help pages]].<br />
Again, welcome and have fun! [[User:Gzhu1|Gzhu1]] 22:52, 19 October 2011 (CDT)</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User:Emanuele_Coviello&diff=8414User:Emanuele Coviello2011-10-20T03:51:47Z<p>Gzhu1: Creating user page with biography of new user.</p>
<hr />
<div>I was born in Rome on June 26th 1984.<br />
When i was 8 years ole i moved to Vicenza Italy.<br />
I went to university in Padova and eventually moved to San Diego for the PhD.</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User_talk:Emanuele_Coviello&diff=8415User talk:Emanuele Coviello2011-10-20T03:51:47Z<p>Gzhu1: Welcome!</p>
<hr />
<div>'''Welcome to ''MIREX Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [[Help:Contents|help pages]].<br />
Again, welcome and have fun! [[User:Gzhu1|Gzhu1]] 22:51, 19 October 2011 (CDT)</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User:Katherine_Ellis&diff=8410User:Katherine Ellis2011-10-19T19:49:40Z<p>Gzhu1: Creating user page with biography of new user.</p>
<hr />
<div>I am a graduate student in Electrical and Computer Engineering at the University of California, San Diego. My research interests are in applying machine learning techniques to music (with the Computer Audition Laboratory) and physical activity. My advisor is Gert Lanckriet.</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User_talk:Katherine_Ellis&diff=8411User talk:Katherine Ellis2011-10-19T19:49:40Z<p>Gzhu1: Welcome!</p>
<hr />
<div>'''Welcome to ''MIREX Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [[Help:Contents|help pages]].<br />
Again, welcome and have fun! [[User:Gzhu1|Gzhu1]] 14:49, 19 October 2011 (CDT)</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User:Y.Ni&diff=8408User:Y.Ni2011-10-19T16:45:12Z<p>Gzhu1: Creating user page with biography of new user.</p>
<hr />
<div>I am a research fellow in the Pattern Analysis and Intelligent Systems research group, working on Music Information Retrieval (MIR) with Dr. Tijl De Bie. Our team is participating the MIREX Audio Chord Estimation task 2011.</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User_talk:Y.Ni&diff=8409User talk:Y.Ni2011-10-19T16:45:12Z<p>Gzhu1: Welcome!</p>
<hr />
<div>'''Welcome to ''MIREX Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [[Help:Contents|help pages]].<br />
Again, welcome and have fun! [[User:Gzhu1|Gzhu1]] 11:45, 19 October 2011 (CDT)</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User:Alireza_abadian_fard&diff=8369User:Alireza abadian fard2011-10-17T19:35:44Z<p>Gzhu1: Creating user page with biography of new user.</p>
<hr />
<div>I'm doing my MS in tabriz uni of iran ,and i am doing some researches in audio signal processing ,and i don't have a wife yet</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User_talk:Alireza_abadian_fard&diff=8370User talk:Alireza abadian fard2011-10-17T19:35:44Z<p>Gzhu1: Welcome!</p>
<hr />
<div>'''Welcome to ''MIREX Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [[Help:Contents|help pages]].<br />
Again, welcome and have fun! [[User:Gzhu1|Gzhu1]] 14:35, 17 October 2011 (CDT)</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User:Jin_Wang&diff=8367User:Jin Wang2011-10-17T15:12:57Z<p>Gzhu1: Creating user page with biography of new user.</p>
<hr />
<div>I am a PhD student in Deakin University, Australia. My research interests are pattern recogniton,computer vison and signal processing.</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User_talk:Jin_Wang&diff=8368User talk:Jin Wang2011-10-17T15:12:57Z<p>Gzhu1: Welcome!</p>
<hr />
<div>'''Welcome to ''MIREX Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [[Help:Contents|help pages]].<br />
Again, welcome and have fun! [[User:Gzhu1|Gzhu1]] 10:12, 17 October 2011 (CDT)</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User:Marcelo_Rodriguez-Lopez&diff=8365User:Marcelo Rodriguez-Lopez2011-10-10T14:30:32Z<p>Gzhu1: Creating user page with biography of new user.</p>
<hr />
<div>In the pass years I did a MSc in Music Technology at York and I have just graduated from MPhil in Human Language Technologies at the University of Trento. As of 01-Oct-2011 I started working with Anja Volk at the University of Utrecht in the Music Similarity through Variation (MUSIVA) project, which will be focusing on creating cognitively plausible models for segmentation and similarity measures for music in symbolic domain. I'm hence very interested in the MIR area.</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User_talk:Marcelo_Rodriguez-Lopez&diff=8366User talk:Marcelo Rodriguez-Lopez2011-10-10T14:30:32Z<p>Gzhu1: Welcome!</p>
<hr />
<div>'''Welcome to ''MIREX Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [[Help:Contents|help pages]].<br />
Again, welcome and have fun! [[User:Gzhu1|Gzhu1]] 09:30, 10 October 2011 (CDT)</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User_talk:Francois_Deliege&diff=8361User talk:Francois Deliege2011-10-06T15:51:25Z<p>Gzhu1: Welcome!</p>
<hr />
<div>'''Welcome to ''MIREX Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [[Help:Contents|help pages]].<br />
Again, welcome and have fun! [[User:Gzhu1|Gzhu1]] 10:51, 6 October 2011 (CDT)</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User:Francois_Deliege&diff=8360User:Francois Deliege2011-10-06T15:51:24Z<p>Gzhu1: Creating user page with biography of new user.</p>
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<div>PhD in Database and Programming Technologies unit of the Department of Computer Science, Aalborg University, Denmark. My research work is inside of the Intelligent Sound Project. It concerns data models, query languages and efficient query processing.</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User:Sunmi_rim&diff=8357User:Sunmi rim2011-10-05T18:29:05Z<p>Gzhu1: Creating user page with biography of new user.</p>
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<div>I mayored in computer science at Ajou University and graduated in 2002.<br />
I work for NHN in korea.<br />
I'm interested in music and playing musical instrument.</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User_talk:Sunmi_rim&diff=8358User talk:Sunmi rim2011-10-05T18:29:05Z<p>Gzhu1: Welcome!</p>
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<div>'''Welcome to ''MIREX Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [[Help:Contents|help pages]].<br />
Again, welcome and have fun! [[User:Gzhu1|Gzhu1]] 13:29, 5 October 2011 (CDT)</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User:George_Hokkanen&diff=8355User:George Hokkanen2011-10-03T22:48:46Z<p>Gzhu1: Creating user page with biography of new user.</p>
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<div>I am currently an undergraduate at Stanford University and taking a machine learning class (CS 229 taught by Andrew Ng). I hope to do my final project on audio analysis, particularly global song structure and/or beat detection. I spent last year reading many of the past MIREX papers in these areas and would like to become involved with the MIREX community with the hope of a submission next year.</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User_talk:George_Hokkanen&diff=8356User talk:George Hokkanen2011-10-03T22:48:46Z<p>Gzhu1: Welcome!</p>
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<div>'''Welcome to ''MIREX Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [[Help:Contents|help pages]].<br />
Again, welcome and have fun! [[User:Gzhu1|Gzhu1]] 17:48, 3 October 2011 (CDT)</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User:Jonguk_Kim&diff=8324User:Jonguk Kim2011-09-30T12:29:11Z<p>Gzhu1: Creating user page with biography of new user.</p>
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<div>PhD candidate, Ajou university in Korea (South).<br />
Interested in computer science, especially computer security and privacy, information processing, and programming language.</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User_talk:Jonguk_Kim&diff=8325User talk:Jonguk Kim2011-09-30T12:29:11Z<p>Gzhu1: Welcome!</p>
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<div>'''Welcome to ''MIREX Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [[Help:Contents|help pages]].<br />
Again, welcome and have fun! [[User:Gzhu1|Gzhu1]] 07:29, 30 September 2011 (CDT)</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User_talk:Cynthia_Liem&diff=8323User talk:Cynthia Liem2011-09-30T12:29:00Z<p>Gzhu1: Welcome!</p>
<hr />
<div>'''Welcome to ''MIREX Wiki''!'''<br />
We hope you will contribute much and well.<br />
You will probably want to read the [[Help:Contents|help pages]].<br />
Again, welcome and have fun! [[User:Gzhu1|Gzhu1]] 07:29, 30 September 2011 (CDT)</div>Gzhu1https://www.music-ir.org/mirex/w/index.php?title=User:Cynthia_Liem&diff=8322User:Cynthia Liem2011-09-30T12:28:59Z<p>Gzhu1: Creating user page with biography of new user.</p>
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<div>PhD student at Delft University of Technology, The Netherlands (temporarily on a US adventure, interning at Google in Mountain View). Has been trained both as a computer scientist and a performing pianist; PhD project deals with indexing music audio over the time dimension. While being in a largely signal-oriented group, I'd especially like to figure out more about the non-trivial, subjective aspects of music content - those things that we hardly can identify, define and objectify into undisputed ground truth, but that we somehow understand implicitly and that make the music such a great experience to us.</div>Gzhu1