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  • 2007:Audio Music Mood Classification
    ...e to clarify what will happen for this year's "beta" run of the Audio Mood Classification (AMC) task. # We will operate the AMC task as a classic train-test classification task.
    27 KB (4,155 words) - 23:05, 19 December 2011
  • 2007:Audio Music Mood Classification Results
    ...ne by human evaluators with a file accepted as a representative of a given mood when at least 2 graders concurred in the assignment. '''ME''' = [https://www.music-ir.org/mirex/abstracts/2007/AI_CC_GC_MC_AS_mandel.pdf Michael I. Mandel, Da
    2 KB (326 words) - 11:44, 26 July 2010
  • 2008:Audio Music Mood Classification
    ...put here to clarify what will happen for this year's run of the Audio Mood Classification (AMC) task. # We will operate the AMC task as a classic train-test classification task.
    24 KB (3,695 words) - 14:08, 7 June 2010
  • 2008:Audio Music Mood Classification Results
    ...nformation about this task set please refer to the [[2008:Audio Music Mood Classification]] page. '''GP1''' = [https://www.music-ir.org/mirex/abstracts/2008/Peeters_2008_ISMIR_MIREX.pdf G. Peeters]<br />
    5 KB (801 words) - 17:20, 23 July 2010
  • 2009:Audio Music Mood Classification
    ...put here to clarify what will happen for this year's run of the Audio Mood Classification (AMC) task. # We will operate the AMC task as a classic train-test classification task.
    25 KB (3,811 words) - 23:32, 19 December 2011
  • 2009:Audio Music Mood Classification Results
    ...The data was created by Xiao Hu and consists of 600 files organized into 5 mood "clusters". === Mood Clusters ===
    12 KB (1,802 words) - 16:06, 23 July 2010
  • 2010:Audio Music Mood Classification
    ...put here to clarify what will happen for this year's run of the Audio Mood Classification (AMC) task. # We will operate the AMC task as a classic train-test classification task.
    24 KB (3,662 words) - 23:34, 19 December 2011

Page text matches

  • 2017:Main Page
    ...Information Retrieval Evaluation eXchange (MIREX 2017). The International Music Information Retrieval Systems Evaluation Laboratory (IMIRSEL) at [https://i ...part of [https://ismir2017.smcnus.org The 18th International Conference on Music Information Retrieval], ISMIR 2017, which will be held in Suzhou, China, Oc
    9 KB (1,363 words) - 12:20, 7 May 2018
  • 2010:MIREX HOME
    # Audio Classification (Train/Test) Tasks # Audio Music Similarity and Retrieval
    9 KB (1,296 words) - 05:32, 6 June 2011
  • Audio Test/Train tasks
    ...sification tasks that follow this Train/Test process. For MIREX 2010, five classification sub-tasks are included: * Audio Artist Identification
    3 KB (327 words) - 14:12, 3 June 2010
  • 2007:Audio Artist Identification
    Note that audio artist identifcation algorithms have been evaluated at ISMIR 2004 and MIREX * [[2007:Audio Music Mood Classification]]
    8 KB (1,172 words) - 16:57, 13 May 2010
  • 2007:Audio Artist Similarity
    Note that audio artist similarity algorithms have been evaluated at [http://ismir2004.ismir * [[2007:Audio Music Mood Classification]]
    1 KB (171 words) - 16:57, 13 May 2010
  • 2007:Audio Classical Composer Identification
    =FINAL 2007 AUDIO CLASSICAL COMPOSER IDENTIFICATION EVALUATION SCENARIO OVERVIEW= ...is put here to clarify what will happen for this year's "beta" run of the Audio Classical Composer (ACC) ID task.
    5 KB (751 words) - 16:57, 13 May 2010
  • 2007:Audio Genre Classification
    A provisional specification of the genre classification task is detailed below. This proposal may be refined based on feedback from ...ex.php/Audio_Genre_Classification MIREX 2005]. However, there was no genre classification task in 2006.
    13 KB (1,934 words) - 16:57, 13 May 2010
  • 2007:Audio Music Mood Classification
    ...e to clarify what will happen for this year's "beta" run of the Audio Mood Classification (AMC) task. # We will operate the AMC task as a classic train-test classification task.
    27 KB (4,155 words) - 23:05, 19 December 2011
  • 2007:Audio Music Mood Classification Results
    ...ne by human evaluators with a file accepted as a representative of a given mood when at least 2 graders concurred in the assignment. '''ME''' = [https://www.music-ir.org/mirex/abstracts/2007/AI_CC_GC_MC_AS_mandel.pdf Michael I. Mandel, Da
    2 KB (326 words) - 11:44, 26 July 2010
  • 2007:Audio Music Similarity and Retrieval
    A provisional specification of the Audio Music Similarity task is detailed below. This proposal may be refined based on fe Note that audio music similarity and retrieval algorithms have been evaluated at MIREX 2006 ( [[2
    12 KB (1,800 words) - 16:57, 13 May 2010
  • 2007:Evalutron6000 Walkthrough For Audio Mood Classification
    ==Special Comments about Validating the Audio Mood Classification Candidates == ...ignore the lyrics as it is unreseasonable to expect algorithms to tell the mood by understanding the lyrics.
    14 KB (2,279 words) - 23:07, 19 December 2011
  • 2007:MIREX2007 Results
    [https://www.music-ir.org/mirex/abstracts/2007/MIREX2007_overall_results.pdf MIREX 2007 Overal * [[2007:Audio_Artist_Identification_Results | Audio Artist Identification Results]] (READY)
    2 KB (276 words) - 01:12, 15 December 2011
  • 2007:Main Page
    * [[2007:Audio Artist Identification]] * [[2007:Audio Classical Composer Identification]] - [[2007:Audio Artist Identification]] subtask
    6 KB (748 words) - 22:56, 19 December 2011
  • 2008:Audio Music Mood Classification
    ...put here to clarify what will happen for this year's run of the Audio Mood Classification (AMC) task. # We will operate the AMC task as a classic train-test classification task.
    24 KB (3,695 words) - 14:08, 7 June 2010
  • 2008:Audio Music Mood Classification Results
    ...nformation about this task set please refer to the [[2008:Audio Music Mood Classification]] page. '''GP1''' = [https://www.music-ir.org/mirex/abstracts/2008/Peeters_2008_ISMIR_MIREX.pdf G. Peeters]<br />
    5 KB (801 words) - 17:20, 23 July 2010
  • 2008:MIREX2008 Results
    [https://www.music-ir.org/mirex/results/2008/MIREX2008_overview_A0.pdf MIREX 2008 Overall Resu [https://www.music-ir.org/mirex/results/2008/tagPoster.pdf MIREX 2008 Classification tasks overall Results Poster (PDF)] is now available!
    3 KB (326 words) - 13:54, 7 June 2010
  • 2008:Main Page
    ...tional Music Information Retrieval Systems Evaluation Laboratory ([https://music-ir.org/evaluation IMIRSEL]) at the Graduate School of Library and Informati ...s part of [http://ismir2008.ismir.net/ The 9th International Conference on Music Information Retrieval], ISMIR 2008, which will be held in Philadelphia, Pen
    4 KB (490 words) - 16:53, 13 May 2010
  • 2009:MIREX2009 Results
    [https://www.music-ir.org/mirex/results/2009/MIREX2009ResultsPoster1.pdf MIREX 2009 Overall Re [https://www.music-ir.org/mirex/results/2009/MIREX2009ResultsPoster2.pdf MIREX 2009 Overall Re
    2 KB (215 words) - 17:28, 6 July 2011
  • 2009:Main Page
    ...tional Music Information Retrieval Systems Evaluation Laboratory ([https://music-ir.org/evaluation IMIRSEL]) at the Graduate School of Library and Informati ...part of [http://ismir2009.ismir.net/ The 10th International Conference on Music Information Retrieval], ISMIR 2009, which will be held in Kobe, Japan, from
    6 KB (923 words) - 16:52, 13 May 2010
  • 2009:Audio Music Mood Classification
    ...put here to clarify what will happen for this year's run of the Audio Mood Classification (AMC) task. # We will operate the AMC task as a classic train-test classification task.
    25 KB (3,811 words) - 23:32, 19 December 2011
  • 2009:Audio Music Mood Classification Results
    ...The data was created by Xiao Hu and consists of 600 files organized into 5 mood "clusters". === Mood Clusters ===
    12 KB (1,802 words) - 16:06, 23 July 2010
  • 2009:Scratch
    * [[2009:Audio_Genre_Classification_Results | Audio Genre Classification Results]] * Audio Tagging Tasks:
    2 KB (161 words) - 22:42, 13 May 2010
  • 2009:Audio Tag Classification (Mood Set) Results
    ...Hu and consists of 3,469 unique songs and 135 mood tags organized into 18 mood tag groups. === Mood tags ===
    11 KB (1,643 words) - 16:43, 23 July 2010
  • 2010:Audio Tag Classification
    ...ver, multiple tags may be applied to each example rather than single-label classification. Audio tag classification was first run at MIREX 2008 [[2008:Audio_Tag_Classification]] and as a spec
    21 KB (2,997 words) - 14:06, 7 June 2010
  • 2010:Audio Classification (Train/Test) Tasks
    ...sification tasks that follow this Train/Test process. For MIREX 2010, five classification sub-tasks are included: *Audio Artist Identification
    14 KB (1,932 words) - 11:15, 14 July 2010
  • Audio Train/Test Tasks
    = Audio Classification (Test/Train) tasks = ...sification tasks that follow this Train/Test process. For MIREX 2010, five classification sub-tasks are included:
    2 KB (282 words) - 13:09, 4 June 2010
  • Audio Classification
    * [[2005:Audio Artist Identification]] * [[2005:Audio Genre Classification]]
    421 bytes (36 words) - 04:53, 4 June 2010
  • 2010:Audio Music Mood Classification
    ...put here to clarify what will happen for this year's run of the Audio Mood Classification (AMC) task. # We will operate the AMC task as a classic train-test classification task.
    24 KB (3,662 words) - 23:34, 19 December 2011
  • 2009:Audio Tag Classification
    ...ver, is that many tags can apply to the same clip, so instead of one N-way classification per clip, this task requires N binary classifications per clip. Audio tag classification was first run at MIREX 2008 [[2008:Audio_Tag_Classification]] and as a spec
    26 KB (3,980 words) - 23:36, 19 December 2011
  • 2010:MIREX2010 Results
    [https://www.music-ir.org/mirex/results/2010/mirex_2010_poster.pdf MIREX 2010 Overall Results ...idual 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 a
    4 KB (621 words) - 22:28, 23 October 2011
  • 2010:MIREX 2010 Poster List
    ...Music Tracking using Tempo-aware On-line Dynamic Time Warping" (Real-time Audio to Score Alignment (a.k.a Score Following)) # Pasi Saari and Olivier Lartillot: "SubEnsemble - Classification framework based on the Ensemble Approach and Feature Selection" (Train Test
    6 KB (843 words) - 04:25, 10 August 2010
  • 2011:MIREX Home
    ...tional Music Information Retrieval Systems Evaluation Laboratory ([https://music-ir.org/evaluation IMIRSEL]) at the Graduate School of Library and Informati ...part of [http://ismir2011.ismir.net/ The 12th International Conference on Music Information Retrieval], ISMIR 2011, which will be held in Miami, Florida, t
    8 KB (1,099 words) - 14:31, 1 October 2011
  • 2010:Runtime
    '''Task 4''' (MIREX 2010: Audio Train/Test: Genre Classification (Latin) - MIREX09 Dataset) ...usic audio tracks by Genre, where the genres are drawn from a set of Latin music genres collected in Brazil and annotated by experts.
    10 KB (1,396 words) - 18:14, 26 October 2010
  • MIREX Impact Citations
    ...s on Challenges and Opportunities", in the 10th International Symposium on Music Information Retrieval (ISMIR), Kobe, 2009, pp. 13-18. Available: http://ism ...0 Estimation and Tracking Systems", in the 10th International Symposium on Music Information Retrieval (ISMIR), Kobe, 2009, pp. 315-320. Available: http://i
    13 KB (1,851 words) - 13:40, 1 June 2011
  • MIREX Impact Statements
    ...s view, I founded an annual evaluation campaign relating to my main focus (audio source separation), which has attracted more than 80 entrants in total and ...similarity: background, approaches, evaluation, and beyond. In Advances in Music Information Retrieval, Z. W. Ras and A. A. Wieczorkowska editors. Studies i
    5 KB (775 words) - 14:14, 22 May 2011
  • 2011:Audio Tag Classification
    ...ver, multiple tags may be applied to each example rather than single-label classification. Audio tag classification was first run at MIREX 2008 [[2008:Audio_Tag_Classification]] and as a spec
    21 KB (2,982 words) - 15:43, 8 July 2011
  • 2011:Audio Classification (Train/Test) Tasks
    = Audio Classification (Test/Train) tasks = ...sification tasks that follow this Train/Test process. For MIREX 2011, five classification sub-tasks are included:
    13 KB (1,875 words) - 15:48, 8 July 2011
  • 2011:MIREX2011 Results
    [https://www.music-ir.org/mirex/results/2011/mirex_2011_poster.pdf MIREX 2011 Overall Results ...idual 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 a
    4 KB (596 words) - 17:21, 18 May 2012
  • 2011:MIREX 2011 Poster List
    # Brian McFee and Gert Lanckriet: ''Audio similarity via metric learning'' (AMS) ...no: ''Audio Key detection system based on probability density functions'' (Audio Key Detection)
    6 KB (850 words) - 10:24, 27 October 2011
  • 2007:Discussion Points Euro MIREX Meeting
    ===Topic 1: First Task Proposal For MIREXDIYDEMO Prototype: Audio Cover Song?=== ...posed MIREXDIYDEMO framework for submission and evaluation. I believe that Audio Cover Song is a good choice because the the ground-truth is fixed (i.e., ei
    9 KB (1,385 words) - 01:47, 15 December 2011
  • 2012:Audio Classification (Train/Test) Tasks
    = Audio Classification (Test/Train) tasks = ...sification tasks that follow this Train/Test process. For MIREX 2012, five classification sub-tasks are included:
    11 KB (1,608 words) - 16:39, 7 June 2012
  • 2012:Audio Tag Classification
    ...ver, multiple tags may be applied to each example rather than single-label classification. Audio tag classification was first run at MIREX 2008 [[2008:Audio_Tag_Classification]] and as a spec
    21 KB (2,970 words) - 16:30, 7 June 2012
  • 2012:MIREX Home
    ...tional Music Information Retrieval Systems Evaluation Laboratory ([https://music-ir.org/evaluation IMIRSEL]) at the Graduate School of Library and Informati ...part of [http://ismir2012.ismir.net/ The 13th International Conference on Music Information Retrieval], ISMIR 2012, which will be held in Porto, Portugal,
    10 KB (1,554 words) - 05:31, 14 March 2013
  • 2012:MIREX2012 Results
    [https://www.music-ir.org/mirex/results/2012/mirex_2012_poster.pdf MIREX 2012 Overall Results * [https://www.music-ir.org/nema_out/mirex2012/results/act/composer_report/ Audio Classical Composer Identification Results ]&nbsp;&nbsp;
    5 KB (655 words) - 21:21, 5 October 2012
  • 2013:Audio Classification (Train/Test) Tasks
    = Audio Classification (Test/Train) tasks = ...sification tasks that follow this Train/Test process. For MIREX 2013, five classification sub-tasks are included:
    11 KB (1,608 words) - 11:33, 16 June 2013
  • 2013:Audio Tag Classification
    ...ver, multiple tags may be applied to each example rather than single-label classification. Audio tag classification was first run at MIREX 2008 [[2008:Audio_Tag_Classification]] and as a spec
    21 KB (2,970 words) - 11:16, 4 June 2013
  • 2013:Main Page
    ...tional Music Information Retrieval Systems Evaluation Laboratory ([https://music-ir.org/evaluation IMIRSEL]) at the Graduate School of Library and Informati ...part of [http://ismir2013.ismir.net/ The 14th International Conference on Music Information Retrieval], ISMIR 2013, which will be held in Curitiba, PR, Bra
    8 KB (1,225 words) - 22:35, 29 June 2014
  • 2013:Task Captains
    |[[2013:Audio Beat Tracking]] |[[2013:Audio Chord Estimation]]
    2 KB (294 words) - 16:14, 4 August 2013
  • 2013:Audio K-POP Genre Classification
    = K-POP Genre Classification = ...stern (or other cultural) music can be applied to K-POP music; 2)to see if classification models can be equally effective on predicting genre labels by American anno
    8 KB (1,219 words) - 02:52, 31 July 2013
  • 2013:Audio K-POP Mood Classification
    = K-POP Mood Classification = ...y effective on predicting mood labels by American annotator and predicting mood labels by Korean annotator.
    9 KB (1,315 words) - 12:17, 19 January 2014
  • 2013:MIREX2013 Results
    [https://www.music-ir.org/mirex/results/2013/mirex_2013_poster.pdf MIREX 2013 Overall Results * [https://www.music-ir.org/nema_out/mirex2013/results/act/composer_report/ Audio Classical Composer Identification Results ]&nbsp;&nbsp;
    5 KB (688 words) - 23:23, 24 October 2014
  • 2014:Main Page
    ...tional Music Information Retrieval Systems Evaluation Laboratory ([https://music-ir.org/evaluation IMIRSEL]) at the Graduate School of Library and Informati ...part of [http://ismir2014.ismir.net/ The 15th International Conference on Music Information Retrieval], ISMIR 2014, which will be held in Taipei, Taiwan, t
    9 KB (1,330 words) - 14:32, 24 September 2014
  • 2014:Audio Classification (Train/Test) Tasks
    = Audio Classification (Test/Train) tasks = ...sification tasks that follow this Train/Test process. For MIREX 2014, five classification sub-tasks are included:
    11 KB (1,608 words) - 14:21, 7 January 2014
  • 2014:Audio K-POP Genre Classification
    = K-POP Genre Classification = ...r other cultural) music can be applied to K-POP music as well; 2)to see if classification models can be equally effective on predicting genre labels by American anno
    8 KB (1,272 words) - 17:16, 17 September 2014
  • 2014:Audio K-POP Mood Classification
    = K-POP Mood Classification = ...y effective on predicting mood labels by American annotator and predicting mood labels by Korean annotator.
    9 KB (1,315 words) - 14:27, 7 January 2014
  • 2014:Audio Tag Classification
    ...ver, multiple tags may be applied to each example rather than single-label classification. Audio tag classification was first run at MIREX 2008 [[2008:Audio_Tag_Classification]] and as a spec
    21 KB (2,970 words) - 14:32, 7 January 2014
  • 2014:Task Captains
    |[[2014:Audio Beat Tracking]] |[[2014:Audio Chord Estimation]]
    2 KB (300 words) - 21:27, 20 October 2014
  • 2014:MIREX2014 Results
    [https://www.music-ir.org/mirex/results/2014/mirex_2014_poster.pdf MIREX 2014 Overall Results * [https://www.music-ir.org/nema_out/mirex2014/results/act/composer_report/ Audio Classical Composer Identification Results ]&nbsp;&nbsp;
    6 KB (836 words) - 12:56, 31 October 2014
  • 2014:Timetable
    |[[2014:Audio Beat Tracking]] |[[2014:Audio Chord Estimation]]
    1 KB (137 words) - 13:54, 12 March 2014
  • 2015:Main Page
    ...tional Music Information Retrieval Systems Evaluation Laboratory ([https://music-ir.org/evaluation IMIRSEL]) at the Graduate School of Library and Informati ...g as part of [http://ismir2015.uma.es The 16th International Conference on Music Information Retrieval], ISMIR 2015, which will be held in Malaga, Spain, Oc
    9 KB (1,308 words) - 23:02, 17 February 2016
  • 2015:Audio Classification (Train/Test) Tasks
    = Audio Classification (Test/Train) tasks = ...sification tasks that follow this Train/Test process. For MIREX 2015, five classification sub-tasks are included:
    11 KB (1,608 words) - 11:39, 7 August 2015
  • 2015:Audio K-POP Mood Classification
    = K-POP Mood Classification = ...y effective on predicting mood labels by American annotator and predicting mood labels by Korean annotator.
    9 KB (1,315 words) - 21:17, 26 March 2015
  • 2015:Audio K-POP Genre Classification
    = K-POP Genre Classification = ...r other cultural) music can be applied to K-POP music as well; 2)to see if classification models can be equally effective on predicting genre labels by American anno
    8 KB (1,272 words) - 21:18, 26 March 2015
  • 2015:Audio Tag Classification
    ...ver, multiple tags may be applied to each example rather than single-label classification. Audio tag classification was first run at MIREX 2008 [[2008:Audio_Tag_Classification]] and as a spec
    21 KB (2,970 words) - 21:23, 26 March 2015
  • 2015:MIREX2015 Results
    [https://www.music-ir.org/mirex/results/2015/mirex_2015_poster.pdf MIREX 2015 Overall Results * [https://www.music-ir.org/nema_out/mirex2015/results/act/composer_report/ Audio Classical Composer Identification Results ]&nbsp;&nbsp;
    6 KB (750 words) - 10:20, 26 October 2015
  • 2016:Main Page
    ...tional Music Information Retrieval Systems Evaluation Laboratory ([https://music-ir.org IMIRSEL]) at the Graduate School of Library and Information Science ...art of [https://wp.nyu.edu/ismir2016/ The 17th International Conference on Music Information Retrieval], ISMIR 2016, which will be held in New York City, US
    9 KB (1,271 words) - 12:20, 7 May 2018
  • 2016:Audio Classification (Train/Test) Tasks
    = Audio Classification (Test/Train) tasks = ...ssification tasks that follow this Train/Test process. For MIREX 2016, six classification sub-tasks are included:
    11 KB (1,643 words) - 15:04, 17 February 2016
  • 2016:Audio K-POP Mood Classification
    = K-POP Mood Classification = ...y effective on predicting mood labels by American annotator and predicting mood labels by Korean annotator.
    9 KB (1,315 words) - 15:06, 17 February 2016
  • 2016:Audio K-POP Genre Classification
    = K-POP Genre Classification = ...r other cultural) music can be applied to K-POP music as well; 2)to see if classification models can be equally effective on predicting genre labels by American anno
    8 KB (1,272 words) - 15:08, 17 February 2016
  • 2016:Audio Tag Classification
    ...ver, multiple tags may be applied to each example rather than single-label classification. Audio tag classification was first run at MIREX 2008 [[2008:Audio_Tag_Classification]] and as a spec
    20 KB (2,950 words) - 15:14, 17 February 2016
  • 2017:MIREX2017 Results
    [https://www.music-ir.org/mirex/results/2017/mirex_2017_poster.pdf MIREX 2017 Overall Results * [[2017:Audio Fingerprinting Results|Audio Fingerprinting Results]]
    4 KB (517 words) - 11:20, 26 April 2018
  • 2018:Main Page
    ...Information Retrieval Evaluation eXchange (MIREX 2018). The International Music Information Retrieval Systems Evaluation Laboratory (IMIRSEL) at [https://i ...g as part of [http://ismir2018.ircam.fr The 19th International Society for Music Information Retrieval Conference], ISMIR 2018, which will be held in Paris,
    9 KB (1,261 words) - 12:13, 22 August 2018
  • 2018:Audio Classification (Train/Test) Tasks
    = Audio Classification (Test/Train) tasks = ...ssification tasks that follow this Train/Test process. For MIREX 2018, six classification sub-tasks are included:
    11 KB (1,643 words) - 10:31, 7 May 2018
  • 2018:Audio K-POP Mood Classification
    = K-POP Mood Classification = ...y effective on predicting mood labels by American annotator and predicting mood labels by Korean annotator.
    9 KB (1,314 words) - 10:37, 7 May 2018
  • 2018:Audio K-POP Genre Classification
    = K-POP Genre Classification = ...r other cultural) music can be applied to K-POP music as well; 2)to see if classification models can be equally effective on predicting genre labels by American anno
    8 KB (1,271 words) - 10:38, 7 May 2018
  • 2018:MIREX2018 Results
    [https://www.music-ir.org/mirex/results/2018/MIREX2018Poster.pdf MIREX 2018 Results Poster (PD * Audio Melody Extraction Results
    4 KB (476 words) - 16:18, 14 October 2020
  • 2019:Main Page
    ...Information Retrieval Evaluation eXchange (MIREX 2019). The International Music Information Retrieval Systems Evaluation Laboratory (IMIRSEL) at [https://i ...art of [http://ismir2019.ewi.tudelft.nl The 20th International Society for Music Information Retrieval Conference], ISMIR 2019, which will be held in Delft,
    8 KB (1,245 words) - 15:46, 27 January 2020
  • 2019:Audio Classification (Train/Test) Tasks
    = Audio Classification (Test/Train) tasks = ...ssification tasks that follow this Train/Test process. For MIREX 2018, six classification sub-tasks are included:
    11 KB (1,643 words) - 17:00, 7 March 2019
  • 2019:Audio K-POP Mood Classification
    = K-POP Mood Classification = ...y effective on predicting mood labels by American annotator and predicting mood labels by Korean annotator.
    9 KB (1,314 words) - 17:04, 7 March 2019
  • 2019:Audio K-POP Genre Classification
    = K-POP Genre Classification = ...r other cultural) music can be applied to K-POP music as well; 2)to see if classification models can be equally effective on predicting genre labels by American anno
    8 KB (1,271 words) - 17:05, 7 March 2019
  • 2019:Audio Tag Classification
    ...ver, multiple tags may be applied to each example rather than single-label classification. Audio tag classification was first run at MIREX 2008 [[2008:Audio_Tag_Classification]] and as a spec
    20 KB (2,950 words) - 17:17, 7 March 2019
  • 2019:MIREX2019 Results
    [https://www.music-ir.org/mirex/results/2019/MIREX2019Poster.pdf MIREX 2019 Results Poster (PD * [https://www.music-ir.org/mirex/wiki/2019:Music_Detection_Results Music Detection Results] &nbsp;
    4 KB (502 words) - 16:30, 14 October 2020
  • 2020:Main Page
    ...Information Retrieval Evaluation eXchange (MIREX 2020). The International Music Information Retrieval Systems Evaluation Laboratory (IMIRSEL) at [https://i
    8 KB (1,186 words) - 18:46, 31 August 2020
  • 2020:Audio Classification (Train/Test) Tasks
    = Audio Classification (Test/Train) tasks = ...ssification tasks that follow this Train/Test process. For MIREX 2019, six classification sub-tasks are included:
    11 KB (1,643 words) - 23:43, 1 June 2020
  • 2020:Audio K-POP Mood Classification
    = K-POP Mood Classification = ...y effective on predicting mood labels by American annotator and predicting mood labels by Korean annotator.
    9 KB (1,314 words) - 23:45, 1 June 2020
  • 2020:Audio K-POP Genre Classification
    = K-POP Genre Classification = ...r other cultural) music can be applied to K-POP music as well; 2)to see if classification models can be equally effective on predicting genre labels by American anno
    8 KB (1,271 words) - 23:45, 1 June 2020
  • 2020:Audio Tag Classification
    ...ver, multiple tags may be applied to each example rather than single-label classification. Audio tag classification was first run at MIREX 2008 [[2008:Audio_Tag_Classification]] and as a spec
    20 KB (2,950 words) - 23:57, 1 June 2020
  • 2020:MIREX2020 Results
    <!-- [https://www.music-ir.org/mirex/results/2019/MIREX2019Poster.pdf MIREX 2019 Results Poster (PD * [[2020:Audio Fingerprinting Results|Audio Fingerprinting Results]]
    3 KB (409 words) - 01:08, 15 October 2020
  • 2021:Audio Tag Classification
    ...ver, multiple tags may be applied to each example rather than single-label classification. Audio tag classification was first run at MIREX 2008 [[2008:Audio_Tag_Classification]] and as a spec
    20 KB (2,950 words) - 14:51, 10 September 2021
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