2018:Audio Chord Estimation Results - Revision history

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2020-10-14T10:26:07Z

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Yun Hao: /* Submissions */

2019-03-08T17:39:35Z

‎Submissions

Yun Hao: /* Submissions */

2019-03-08T17:38:46Z

‎Submissions

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2018-09-22T09:09:57Z

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Yun Hao: /* Submissions */

2018-09-20T17:27:31Z

‎Submissions

Yun Hao: Created page with "==Introduction== This page contains the results of the 2018 edition of the MIREX automatic chord estimation tasks. This edition was the sixth one since the reorganization of the..."

2018-09-18T20:39:05Z

Created page with "==Introduction== This page contains the results of the 2018 edition of the MIREX automatic chord estimation tasks. This edition was the sixth one since the reorganization of the..."

New page

==Introduction==

This page contains the results of the 2018 edition of the MIREX automatic chord estimation tasks. This edition was the sixth one since the reorganization of the evaluation procedure in 2013. The results can therefore be directly compared to those of the last five years. Chord labels are evaluated according to five different chord vocabularies and the segmentation is also assessed. Additional information about the used measures can be found on the page of the [[2013:Audio_Chord_Estimation_Results_MIREX_2009 | 2013 edition]].

==What’s new?==
* This year the algorithms have additionally been evaluated on the "RWC-Popular" and "USPOP2002Chords" dataset annotated at the [http://steinhardt.nyu.edu/marl/ Music and Audio Research Lab] of NYU, whose annotations are [https://github.com/tmc323/Chord-Annotations publicly available]. The [https://staff.aist.go.jp/m.goto/RWC-MDB/rwc-mdb-p.html RWC-Popular dataset] contains 100 pop songs recorded specifically for music information retrieval research. The USPOP2002Chords set is the 195 file subset of the [https://labrosa.ee.columbia.edu/projects/musicsim/uspop2002.html USPOP2002 dataset] that have been annotated with chord sequences.

==Software==
All software used for the evaluation has been made open-source. The evaluation framework is described by [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6637748 Pauwels and Peeters (2013)]. The corresponding binaries and code repository can be found on [https://github.com/jpauwels/MusOOEvaluator GitHub] and the used measures are available as presets. The raw algorithmic output will be provided later  More help can be found in the [https://github.com/jpauwels/MusOOEvaluator/blob/master/README.md readme].

The statistical comparison between the different submissions is explained in [http://www.terasoft.com.tw/conf/ismir2014/proceedings/T095_250_Paper.pdf Burgoyne et al. (2014)]. The software is available at [https://bitbucket.org/jaburgoyne/mirexace BitBucket]. It uses the detailed results provided below as input.

==Submissions==

{| class="wikitable"
!
! Abstract
! Contributors
|-
| CM1
| style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2018/CM1.pdf PDF]
| [https://code.soundsoftware.ac.uk/users/3 Chris Cannam], [http://c4dm.eecs.qmul.ac.uk/ Matthias Mauch]
|-
| JLCX1, JLCX2
| style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2018/JLCX1.pdf PDF]
| [https://github.com/instr3/ Junyan Jiang], [http://www.cs.fudan.edu.cn/ Wei Li], [https://github.com/RetroCirce Ke Chen], [http://www.cs.cmu.edu/~gxia Guangyu Xia]
|-
| SG1
| style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2018/SG1.pdf PDF]
| [https://www.fsit.services Franz Strasser], [http://www.jku.at/ Stefan Gaser]
|-
| FK2
| style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2017/WL1.pdf PDF]
| [http://www.cp.jku.at Florian Krebs], [http://www.cp.jku.at Filip Korzeniowski], [http://www.ofai.at Sebastian Böck]
|}

==Results==

===Summary===

All figures can be interpreted as percentages and range from 0 (worst) to 100 (best).

=====Isophonics2009=====
<csv>2018/ace/2018-Isophonics2009.csv</csv>
=====Billboard2012=====
<csv>2018/ace/2018-Billboard2012.csv</csv>
=====Billboard2013=====
<csv>2018/ace/2018-Billboard2013.csv</csv>
=====JayChou29=====
<csv>2018/ace/2018-JayChou29.csv</csv>
=====RobbieWilliams=====
<csv>2018/ace/2018-RobbieWilliams.csv</csv>
=====RWC-Popular=====
<csv>2018/ace/2018-RWC-Popular.csv</csv>
=====USPOP2002Chords=====
<csv>2018/ace/2018-USPOP2002Chords.csv</csv>



===Detailed Results===

More details about the performance of the algorithms, including per-song performance and supplementary statistics, are available from ?.

===Algorithmic Output===

The raw output of the algorithms are available in ?. They can be used to experiment with alternative evaluation measures and statistics.

@@ Line 7: / Line 7: @@
 ==Software==
-All software used for the evaluation has been made open-source. The evaluation framework is described by [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6637748 Pauwels and Peeters (2013)]. The corresponding binaries and code repository can be found on [https://github.com/jpauwels/MusOOEvaluator GitHub] and the used measures are available as presets. The raw algorithmic output will be provided later <!--provided below makes it possible to calculate the additional measures from the paper (separate results for tetrads, etc.), in addition to those presented below.--> More help can be found in the [https://github.com/jpauwels/MusOOEvaluator/blob/master/README.md readme].
+All software used for the evaluation has been made open-source. The evaluation framework is described by [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6637748 Pauwels and Peeters (2013)]. The corresponding binaries and code repository can be found on [https://github.com/jpauwels/MusOOEvaluator GitHub] and the used measures are available as presets. The raw algorithmic output provided below makes it possible to calculate the additional measures from the paper (separate results for tetrads, etc.), in addition to those presented below. More help can be found in the [https://github.com/jpauwels/MusOOEvaluator/blob/master/README.md readme].
 The statistical comparison between the different submissions is explained in [http://www.terasoft.com.tw/conf/ismir2014/proceedings/T095_250_Paper.pdf Burgoyne et al. (2014)]. The software is available at [https://bitbucket.org/jaburgoyne/mirexace BitBucket]. It uses the detailed results provided below as input.
@@ Line 67: / Line 67: @@
 ===Detailed Results===
-More details about the performance of the algorithms, including per-song performance and supplementary statistics, are available from ?.
+More details about the performance of the algorithms, including per-song performance and supplementary statistics, are available from [https://github.com/ismir-mirex/ace-results/tree/master/2018 this repository].
 ===Algorithmic Output===
-The raw output of the algorithms are available in ?. They can be used to experiment with alternative evaluation measures and statistics.
+The raw output of the algorithms are available in [https://github.com/ismir-mirex/ace-output/tree/master/2018 this repository]. They can be used to experiment with alternative evaluation measures and statistics.

@@ Line 31: / Line 31: @@
 |-
 | FK2
-| style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2018/WL1.pdf PDF]
+| style="text-align: center;" | [PDF]
 | [http://www.cp.jku.at Florian Krebs], [http://www.cp.jku.at Filip Korzeniowski], [http://www.ofai.at Sebastian Böck]
 |}

@@ Line 4: / Line 4: @@
 ==What’s new?==
-* This year the algorithms have additionally been evaluated on the "RWC-Popular" and "USPOP2002Chords" dataset annotated at the [http://steinhardt.nyu.edu/marl/ Music and Audio Research Lab] of NYU, whose annotations are [https://github.com/tmc323/Chord-Annotations publicly available]. The [https://staff.aist.go.jp/m.goto/RWC-MDB/rwc-mdb-p.html RWC-Popular dataset] contains 100 pop songs recorded specifically for music information retrieval research. The USPOP2002Chords set is the 195 file subset of the [https://labrosa.ee.columbia.edu/projects/musicsim/uspop2002.html USPOP2002 dataset] that have been annotated with chord sequences.
+* All datasets and evaluation procedures are the same as last year's MIREX.
 ==Software==

@@ Line 24: / Line 24: @@
 | JLCX1, JLCX2
 | style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2018/JLCX1.pdf PDF]
-| [https://github.com/instr3/ Junyan Jiang], [http://www.cs.fudan.edu.cn/ Wei Li], [https://github.com/RetroCirce Ke Chen], [http://www.cs.cmu.edu/~gxia Guangyu Xia]
+| [https://github.com/instr3/ Junyan Jiang],  [https://github.com/RetroCirce Ke Chen], [http://www.cs.fudan.edu.cn/ Wei Li], [http://www.cs.cmu.edu/~gxia Guangyu Xia]
 |-
 | SG1