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  • [https://www.music-ir.org/mirex/results/2008/tagPoster.pdf MIREX 2008 Classification tasks overall Results Poster (PDF)] is now available! * [[2008:Audio_Artist_Identification_Results | Audio Artist Identification Results]] (Done)
    3 KB (326 words) - 13:54, 7 June 2010
  • * [[2008:Audio Artist Identification]] * [[2008:Audio Genre Classification]]
    4 KB (490 words) - 16:53, 13 May 2010
  • ...ags (using the same statistical procedures as the the other MIREX 2009 tag classification tasks) and in the Tagatune game itself (the Tagatune metric). ...evaluation is very similar, if not identical, to the MIREX 2009 Audio Tag Classification tasks where two outputs are produced by each algorithm:
    29 KB (4,476 words) - 01:23, 15 December 2011
  • ...und information about this task set please refer to the [[2009:Audio Genre Classification]] page. More precisely, the Latin Music Database has 3,227 audio files from 10 Latin music genres:
    12 KB (1,676 words) - 16:20, 23 July 2010
  • * [[2009:Audio_Classical_Composer_Identification_Results | Audio Classical Composer Identification Results ]] * [[2009:Audio_Genre_Classification_(Latin_Set)_Results | Audio Genre Classification (Latin Set) Results ]]
    2 KB (215 words) - 17:28, 6 July 2011
  • ...und information about this task set please refer to the [[2009:Audio Genre Classification]] page. ...lips in 22.05kHz mono WAV format drawn from 10 genres (700 clips from each genre). Genres:
    10 KB (1,475 words) - 16:02, 23 July 2010
  • Pay attention to the wiki pages of tasks you are interested in. The Audio Music Similarity submission need to be submitted as close to the deadline a * [[2009:Audio Onset detection]]
    6 KB (923 words) - 16:52, 13 May 2010
  • ...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
  • ...nformation about this task set please refer to the [[2009:Audio Music Mood Classification]] page. The data was created by Xiao Hu and consists of 600 files organized ...d J. Stephen Downie (2007)] '''Exploring mood metadata: Relationships with genre, artist and usage metadata''', In the 8th International Conference on Music
    12 KB (1,802 words) - 16:06, 23 July 2010
  • * [[2009:Audio_Genre_Classification_Results | Audio Genre Classification Results]] * Audio Tagging Tasks:
    2 KB (161 words) - 22:42, 13 May 2010
  • ...ted to the other audio classification tasks, however, instead of one N-way classification per clip, this task requires N binary classifications per clip. These different outputs allow the algorithms to be evaluated both on tag 'classification' and tag 'ranking' (where the tags may be ranked for each track and tracks
    14 KB (1,882 words) - 16:33, 23 July 2010
  • ...ng behind the approach taken in the evaluation. The intention of the Music Audio Search track is to evaluate music similarity searches (A music search engin The Audio Music Similarity and Retrieval task has been run in MIREX 2009, 2007, and 2
    14 KB (2,146 words) - 20:17, 18 June 2010
  • ...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
  • ...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 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
  • * [[2005:Audio Artist Identification]] * [[2005:Audio Genre Classification]]
    421 bytes (36 words) - 04:53, 4 June 2010
  • ...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
  • ...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
  • ...evaluation is very similar, if not identical, to the MIREX 2008 Audio Tag Classification task. ...h indicates the absence of an instrument (e.g. no piano, no guitar) or the genre that the song does not belong to (e.g. not classical, not rock). Particip
    10 KB (1,727 words) - 14:07, 7 June 2010
  • ...nois.edu/nema_out/4ffcb482-b83c-4ba6-bc42-9b538b31143c/results/evaluation/ Audio Classical Composer Identification Results ]   (DIY) ...6731c97a-240c-4d3d-8be9-90d715ea04e1/results/evaluation/ Audio Latin Genre Classification Results ]   (DIY)
    4 KB (621 words) - 22:28, 23 October 2011

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