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From MIREX Wiki

  • 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 ]  
    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 ]  
    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 ]  
    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 ]  
    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]  
    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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