Yun Hao: /* Algorithmic Output */

2020-10-14T19:26:11Z

‎Algorithmic Output

Yun Hao: /* Detailed Results */

2020-10-14T19:26:03Z

‎Detailed Results

Yun Hao: Created page with "==Introduction== This page contains the results of the 2020 edition of the MIREX automatic chord estimation tasks. This edition was the eighth one since the reorganization of..."

2020-10-14T19:23:57Z

Created page with "==Introduction== This page contains the results of the 2020 edition of the MIREX automatic chord estimation tasks. This edition was the eighth one since the reorganization of..."

New page

==Introduction==

This page contains the results of the 2020 edition of the MIREX automatic chord estimation tasks. This edition was the eighth one since the reorganization of the evaluation procedure in 2013. The results can therefore be directly compared to those of the last six 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?==
* All datasets and evaluation procedures are the same as last year's MIREX.

==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 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.

==Submissions==

{| class="wikitable"
!
! Abstract
! Contributors
|-
| HL2
| style="text-align: center;" | [https://www.music-ir.org/mirex/abstracts/2020/HL2.pdf PDF]
| [http://mirlag.org Yuan-Hao Ku], [http://mirlag.org Hsueh-Han Lee]
|}

==Results==

===Summary===

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

=====Isophonics2009=====
<csv>2020/ace/2020-Isophonics2009.csv</csv>
=====Billboard2012=====
<csv>2020/ace/2020-Billboard2012.csv</csv>
=====Billboard2013=====
<csv>2020/ace/2020-Billboard2013.csv</csv>
=====JayChou29=====
<csv>2020/ace/2020-JayChou29.csv</csv>
=====RobbieWilliams=====
<csv>2020/ace/2020-RobbieWilliams.csv</csv>
=====RWC-Popular=====
<csv>2020/ace/2020-RWC-Popular.csv</csv>
=====USPOP2002Chords=====
<csv>2020/ace/2020-USPOP2002Chords.csv</csv>
=====CASD-Annotator1=====
<csv>2020/ace/2020-CASD-Annotator1.csv</csv>
=====CASD-Annotator2=====
<csv>2020/ace/2020-CASD-Annotator2.csv</csv>
=====CASD-Annotator3=====
<csv>2020/ace/2020-CASD-Annotator3.csv</csv>
=====CASD-Annotator4=====
<csv>2020/ace/2020-CASD-Annotator4.csv</csv>



===Detailed Results===

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/2019 this repository].
.

===Algorithmic Output===

The raw output of the algorithms are available in [https://github.com/ismir-mirex/ace-output/tree/master/2019 this repository]. They can be used to experiment with alternative evaluation measures and statistics.

← Older revision		Revision as of 19:26, 14 October 2020
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	===Algorithmic Output===		===Algorithmic Output===

−	The raw output of the algorithms are available in [https://github.com/ismir-mirex/ace-output/tree/master/~~2019~~ this repository]. 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/2020 this repository]. They can be used to experiment with alternative evaluation measures and statistics.

@@ Line 63: / Line 63: @@
 ===Detailed Results===
-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/2019 this repository].
+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/2020 this repository].
+.

2020:Audio Chord Estimation Results - Revision history

Yun Hao: /* Algorithmic Output */

Yun Hao: /* Detailed Results */

Yun Hao: Created page with "==Introduction== This page contains the results of the 2020 edition of the MIREX automatic chord estimation tasks. This edition was the eighth one since the reorganization of..."