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  • 2013:Audio K-POP Mood Classification
    ...ation (identification) accuracy, standard deviation and a confusion matrix for each algorithm will be computed. ...dman's Anova with Tukey-Kramer honestly significant difference (HSD) tests for multiple comparisons. This test will be used to rank the algorithms and to
    9 KB (1,315 words) - 12:17, 19 January 2014
  • 2014:Main Page
    ==Welcome to MIREX 2014== ...a-Champaign ([http://www.illinois.edu UIUC]) is the principal organizer of MIREX 2014.
    9 KB (1,330 words) - 14:32, 24 September 2014
  • 2014:Audio Classification (Train/Test) Tasks
    ...arious audio classification tasks that follow this Train/Test process. For MIREX 2014, five classification sub-tasks are included: All five classification tasks were conducted in previous MIREX runs (please see ). This page presents the evaluation of these tasks, inclu
    11 KB (1,608 words) - 14:21, 7 January 2014
  • 2014:Audio K-POP Genre Classification
    ...ation (identification) accuracy, standard deviation and a confusion matrix for each algorithm will be computed. ...dman's Anova with Tukey-Kramer honestly significant difference (HSD) tests for multiple comparisons. This test will be used to rank the algorithms and to
    8 KB (1,272 words) - 17:16, 17 September 2014
  • 2014:Audio K-POP Mood Classification
    ...ation (identification) accuracy, standard deviation and a confusion matrix for each algorithm will be computed. ...dman's Anova with Tukey-Kramer honestly significant difference (HSD) tests for multiple comparisons. This test will be used to rank the algorithms and to
    9 KB (1,315 words) - 14:27, 7 January 2014
  • 2014:Symbolic Melodic Similarity
    ...see [http://www.esac-data.org/ ESAC Data Homepage] for more information). For each of the six "base" queries, we have created four classes of error-mutat Each system will be asked to return the top ten items for each of the 30 total queries. That is to say, 6(base queries) X 5(versions)
    5 KB (843 words) - 14:42, 7 January 2014
  • 2014:Audio Onset Detection
    ...wo detections for one ground-truth onset) and merged onsets (one detection for two ground-truth onsets) will be taken into account in the evaluation. Doub ...Recall rates are defined by averaging Precision and Recall rates computed for each annotation.
    9 KB (1,355 words) - 14:45, 7 January 2014
  • 2014:Audio Key Detection
    Determination of the key is a prerequisite for any analysis of tonal music. As a result, extensive work has been done in t The collection used for this year's evaluation is the same as the one used in 2005. It consists of
    6 KB (966 words) - 14:47, 7 January 2014
  • MIREX 2014 Submission Instructions
    * Be sure to read through the [[2014:Main_Page| 2014 MIREX Home]] page * Be sure to read through the task pages for which you are submitting
    5 KB (758 words) - 18:52, 12 August 2015
  • 2014:Singing Voice Separation
    All discussions take place on the MIREX "EvalFest" list. If you have an question or comment, simply include the tas ...he public part of the [http://mac.citi.sinica.edu.tw/ikala/ iKala] dataset for training.
    5 KB (816 words) - 02:42, 29 April 2016
  • 2015:Main Page
    ==Welcome to MIREX 2015== ...a-Champaign ([http://www.illinois.edu UIUC]) is the principal organizer of MIREX 2015.
    9 KB (1,308 words) - 23:02, 17 February 2016
  • 2015:Audio Classification (Train/Test) Tasks
    ...arious audio classification tasks that follow this Train/Test process. For MIREX 2015, five classification sub-tasks are included: All five classification tasks were conducted in previous MIREX runs (please see ). This page presents the evaluation of these tasks, inclu
    11 KB (1,608 words) - 11:39, 7 August 2015
  • 2015:Audio K-POP Mood Classification
    ...ation (identification) accuracy, standard deviation and a confusion matrix for each algorithm will be computed. ...dman's Anova with Tukey-Kramer honestly significant difference (HSD) tests for multiple comparisons. This test will be used to rank the algorithms and to
    9 KB (1,315 words) - 21:17, 26 March 2015
  • 2015:Audio K-POP Genre Classification
    ...ation (identification) accuracy, standard deviation and a confusion matrix for each algorithm will be computed. ...dman's Anova with Tukey-Kramer honestly significant difference (HSD) tests for multiple comparisons. This test will be used to rank the algorithms and to
    8 KB (1,272 words) - 21:18, 26 March 2015
  • 2015:Symbolic Melodic Similarity
    ...see [http://www.esac-data.org/ ESAC Data Homepage] for more information). For each of the six "base" queries, we have created four classes of error-mutat Each system will be asked to return the top ten items for each of the 30 total queries. That is to say, 6(base queries) X 5(versions)
    6 KB (861 words) - 12:30, 10 July 2015
  • 2015:Audio Onset Detection
    ...wo detections for one ground-truth onset) and merged onsets (one detection for two ground-truth onsets) will be taken into account in the evaluation. Doub ...Recall rates are defined by averaging Precision and Recall rates computed for each annotation.
    9 KB (1,355 words) - 21:28, 26 March 2015
  • 2015:Audio Key Detection
    Determination of the key is a prerequisite for any analysis of tonal music. As a result, extensive work has been done in t The collection used for this year's evaluation is the same as the one used in 2005. It consists of
    6 KB (966 words) - 21:29, 26 March 2015
  • 2015:Singing Voice Separation
    All discussions take place on the MIREX "EvalFest" list. If you have an question or comment, simply include the tas ...he public part of the [http://mac.citi.sinica.edu.tw/ikala/ iKala] dataset for training. In addition, you can train with 30-second segments from the SiSEC
    6 KB (870 words) - 02:52, 29 April 2016
  • MIREX 2015 Submission Instructions
    * Be sure to read through the [[2015:Main_Page| 2015 MIREX Home]] page * Be sure to read through the task pages for which you are submitting
    4 KB (723 words) - 15:15, 13 August 2015
  • 2016:Main Page
    ==Welcome to MIREX 2016== ...a-Champaign ([http://www.illinois.edu UIUC]) is the principal organizer of MIREX 2016.
    9 KB (1,271 words) - 12:20, 7 May 2018

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