Search results

• 2013:Audio K-POP Genre Classification
  = K-POP Genre Classification = ...effective on predicting genre labels by American annotator and predicting genre labels by Korean annotator.
  8 KB (1,219 words) - 02:52, 31 July 2013
• 2013:Audio K-POP Mood Classification
  = K-POP Mood 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 mood labels by American annot
  9 KB (1,315 words) - 12:17, 19 January 2014
• 2013:MIREX2013 Results
  * [https://www.music-ir.org/nema_out/mirex2013/results/act/composer_report/ Audio Classical Composer Identification Results ]   ...usic-ir.org/nema_out/mirex2013/results/act/latin_report/ Audio Latin Genre Classification Results ]  
  5 KB (688 words) - 23:23, 24 October 2014
• 2014:Main Page
  ** Audio Classification (Train/Test) Tasks ** Audio Music Similarity and Retrieval
  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 = ...effective on predicting genre labels by American annotator and predicting genre labels by Korean annotator.
  8 KB (1,272 words) - 17:16, 17 September 2014
• 2014:Audio K-POP Mood Classification
  = K-POP Mood 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 mood labels by American annot
  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/nema_out/mirex2014/results/act/composer_report/ Audio Classical Composer Identification Results ]   ...usic-ir.org/nema_out/mirex2014/results/act/latin_report/ Audio Latin Genre Classification 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
  ** Audio Classification (Train/Test) Tasks ** Audio Music Similarity and Retrieval
  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 = ...stern (or other cultural) music can be applied to K-POP music; 2)to see if classification models can be equally effective on predicting mood labels by American annot
  9 KB (1,315 words) - 21:17, 26 March 2015
• 2015:Audio K-POP Genre Classification
  = K-POP Genre Classification = ...effective on predicting genre labels by American annotator and predicting genre labels by Korean annotator.
  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
• User:Thomas Lidy
  ...g research on machine learning (most recently deep learning) for automatic classification of music.
  341 bytes (52 words) - 18:50, 12 August 2015
• 2015:MIREX2015 Results
  * [https://www.music-ir.org/nema_out/mirex2015/results/act/composer_report/ Audio Classical Composer Identification Results ]   ...usic-ir.org/nema_out/mirex2015/results/act/latin_report/ Audio Latin Genre Classification Results ]  
  6 KB (750 words) - 10:20, 26 October 2015
• 2016:Main Page
  ** Audio Classification (Train/Test) Tasks ** Audio Music Similarity and Retrieval
  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

View (previous 20 | next 20) (20 | 50 | 100 | 250 | 500)