Search results

• 2016: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) - 15:06, 17 February 2016
• 2016: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) - 15:08, 17 February 2016
• 2018:Main Page
  ** [[2018:Audio Classification (Train/Test) Tasks]] <TC: Yun Hao (IMIRSEL)>, including *** Audio US Pop Genre Classification
  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 = ...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 (1,314 words) - 10:37, 7 May 2018
• 2018: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 (1,271 words) - 10:38, 7 May 2018
• 2019:Main Page
  ** [[2019:Audio Fingerprinting]] <TC: Chung-Che Wang> ** [[2019:Audio Classification (Train/Test) Tasks]] <TC: Yun Hao (IMIRSEL)>, including
  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 = ...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 (1,314 words) - 17:04, 7 March 2019
• 2019: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 (1,271 words) - 17:05, 7 March 2019
• 2020:Main Page
  ** [[2020:Audio Fingerprinting]] <TC: Chung-Che Wang> ** [[2020:Audio Classification (Train/Test) Tasks]] <TC: Yun Hao (IMIRSEL)>, including
  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 = ...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 (1,314 words) - 23:45, 1 June 2020
• 2020: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 (1,271 words) - 23:45, 1 June 2020

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