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  • 2015:Music/Speech Classification and Detection
    The need for music-speech classification is evident in many audio processing tasks which relate to real-life materials such as archives of field recordings, b Indeed, speech-music classification has received considerable attention from the research community (for a part
    10 KB (1,550 words) - 23:01, 17 February 2016
  • 2015:MIREX2015 Results
    ===Train-Test Task Set=== * [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
    Like ISMIR 2015, we are prepared to improve the distribution of tasks for the upcoming MIREX 2016. To do so, we really need leaders to help us o ** Audio Classification (Train/Test) Tasks
    9 KB (1,271 words) - 12:20, 7 May 2018
  • 2016:Task Captains
    Like ISMIR 2015, we are prepared to improve the distribution of tasks for the upcoming MIREX 2016. To do so, we really need leaders to help us o To volunteer to lead one or more tasks, please add your name in the "Captains" column.
    2 KB (360 words) - 15:12, 10 August 2016
  • 2016:Audio Classification (Train/Test) Tasks
    = Audio Classification (Test/Train) tasks = ...hat 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 = ...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 = ...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:Task Captains
    Like ISMIR 2016, we are prepared to improve the distribution of tasks for the upcoming MIREX 2017. To do so, we really need leaders to help us o To volunteer to lead one or more tasks, please complete the form [https://goo.gl/forms/bDID8cOV8p7mJ9Nt1 here]. Pl
    4 KB (548 words) - 20:57, 17 September 2017
  • 2018:Main Page
    Like previous years, we are prepared to improve the distribution of tasks for the upcoming MIREX 2018. To do so, we really need leaders to help us o ** [[2018:Audio Classification (Train/Test) Tasks]] <TC: Yun Hao (IMIRSEL)>, including
    9 KB (1,261 words) - 12:13, 22 August 2018
  • 2018:Task Captains
    Like MIREX 2017, we are prepared to improve the distribution of tasks for the upcoming MIREX 2018. To do so, we really need leaders to help us o To volunteer to lead one or more tasks, please complete the form [https://goo.gl/forms/PWaN8MXC7iuuf4qA3 here]. Pl
    3 KB (427 words) - 14:40, 26 July 2018
  • 2018:Audio Classification (Train/Test) Tasks
    = Audio Classification (Test/Train) tasks = ...hat 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 = ...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:Music/Speech Classification and Detection
    The need for music-speech classification is evident in many audio processing tasks which relate to real-life materials such as archives of field recordings, b Indeed, speech-music classification has received considerable attention from the research community (for a part
    10 KB (1,548 words) - 10:54, 7 May 2018
  • 2019:Main Page
    Like previous years, we are prepared to improve the distribution of tasks for the upcoming MIREX 2019. To do so, we really need leaders to help us o ** [[2019:Audio Fingerprinting]] <TC: Chung-Che Wang>
    8 KB (1,245 words) - 15:46, 27 January 2020
  • 2019:Task Captains
    Like MIREX 2018, we are prepared to improve the distribution of tasks for the upcoming MIREX 2019. To do so, we really need leaders to help us o To volunteer to lead one or more tasks, please complete the form [https://goo.gl/forms/0w5nowHkHzYxHl4l1 here]. Pl
    3 KB (393 words) - 19:23, 22 June 2020
  • 2019:Audio Classification (Train/Test) Tasks
    = Audio Classification (Test/Train) tasks = ...hat 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 = ...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

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