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
• 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
  * [[2017:Audio Fingerprinting Results|Audio Fingerprinting Results]] ** [https://www.music-ir.org/nema_out/mirex2017/results/act/composer_report/ Audio Classical Composer Identification Results ]  
  4 KB (517 words) - 11:20, 26 April 2018
• 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
• 2018:MIREX2018 Results
  * Audio Melody Extraction Results * [[2018:Audio Fingerprinting Results|Audio Fingerprinting Results]]
  4 KB (476 words) - 16:18, 14 October 2020
• 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
• 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
  * Audio Melody Extraction Results * [[2019:Automatic Lyrics-to-Audio Alignment Results | Automatic Lyrics-to-Audio Alignment Results]] &nbsp;
  4 KB (502 words) - 16:30, 14 October 2020
• 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
• 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

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