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  • 2009:Best Coding Practices for MIREX
    = Best Coding Practices for MIREX = ...ssions, based on experiences from the previous iteration of MIREX. General best practice information is provided below.
    8 KB (1,292 words) - 13:34, 8 July 2011
  • 2011:MIREX 2011 Submission Instructions
    * Be sure to read through the [[2011:Main_Page| 2011 MIREX Home]] page * Be sure to read though the task pages for which you are submitting
    4 KB (734 words) - 13:39, 8 July 2011
  • 2011: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 (855 words) - 14:10, 8 July 2011
  • MIREX 2011 Submission Instructions
    * Be sure to read through the [[2011:Main_Page| 2011 MIREX Home]] page * Be sure to read though the task pages for which you are submitting
    4 KB (726 words) - 14:09, 8 July 2011
  • 2011: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 (1,363 words) - 14:11, 8 July 2011
  • 2011: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 (978 words) - 14:54, 8 July 2011
  • 2012:Audio Classification (Train/Test) Tasks
    ...arious audio classification tasks that follow this Train/Test process. For MIREX 2012, 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) - 16:39, 7 June 2012
  • MIREX 2012 Submission Instructions
    * Be sure to read through the [[2012:Main_Page| 2012 MIREX Home]] page * Be sure to read though the task pages for which you are submitting
    4 KB (726 words) - 10:34, 2 August 2012
  • 2012:MIREX 2012 Submission Instructions
    * Be sure to read through the [[2012:Main_Page| 2012 MIREX Home]] page * Be sure to read though the task pages for which you are submitting
    4 KB (734 words) - 15:48, 1 August 2012
  • 2012: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) - 16:31, 7 June 2012
  • 2012: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 (1,351 words) - 16:32, 7 June 2012
  • 2012: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) - 16:32, 7 June 2012
  • 2012:MIREX Home
    ==Welcome to MIREX 2012== ...a-Champaign ([http://www.illinois.edu UIUC]) is the principal organizer of MIREX 2012.
    10 KB (1,554 words) - 05:31, 14 March 2013
  • 2013:Audio Classification (Train/Test) Tasks
    ...arious audio classification tasks that follow this Train/Test process. For MIREX 2013, 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) - 11:33, 16 June 2013
  • MIREX 2013 Submission Instructions
    * Be sure to read through the [[2013:Main_Page| 2013 MIREX Home]] page * Be sure to read through the task pages for which you are submitting
    4 KB (726 words) - 18:47, 10 June 2013
  • 2013: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) - 17:58, 10 June 2013
  • 2013: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) - 18:00, 10 June 2013
  • 2013: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) - 18:02, 10 June 2013
  • 2013:Main Page
    ==Welcome to MIREX 2013== ...a-Champaign ([http://www.illinois.edu UIUC]) is the principal organizer of MIREX 2013.
    8 KB (1,225 words) - 22:35, 29 June 2014
  • 2013: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 (1,219 words) - 02:52, 31 July 2013
  • 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
  • MIREX 2016 Submission Instructions
    * Be sure to read through the [[2016:Main_Page| 2016 MIREX Home]] page * Be sure to read through the task pages for which you are submitting
    4 KB (723 words) - 00:38, 17 February 2016
  • 2016:Audio Classification (Train/Test) Tasks
    ...arious audio classification tasks that follow this Train/Test process. For MIREX 2016, six classification sub-tasks are included: * [https://www.music-ir.org/mirex/wiki/2016:Audio_K-POP_Mood_Classification Audio K-POP Mood Classification]
    11 KB (1,643 words) - 15:04, 17 February 2016
  • 2016: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) - 15:06, 17 February 2016
  • 2016: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) - 15:08, 17 February 2016
  • 2016: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) - 15:19, 17 February 2016
  • 2016: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) - 15:21, 17 February 2016
  • 2016: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) - 15:24, 17 February 2016
  • 2016: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 (907 words) - 00:09, 4 August 2016
  • 2018:Main Page
    ==Welcome to MIREX 2018== ...a-Champaign ([http://www.illinois.edu UIUC]) is the principal organizer of MIREX 2018.
    9 KB (1,261 words) - 12:13, 22 August 2018
  • MIREX 2018 Submission Instructions
    * Be sure to read through the [[2018:Main_Page| 2018 MIREX Home]] page * Be sure to read through the task pages for which you are submitting
    4 KB (723 words) - 23:27, 10 April 2018
  • 2018:Audio Classification (Train/Test) Tasks
    ...arious audio classification tasks that follow this Train/Test process. For MIREX 2018, six classification sub-tasks are included: * [https://www.music-ir.org/mirex/wiki/2018:Audio_K-POP_Mood_Classification Audio K-POP Mood Classification]
    11 KB (1,643 words) - 10:31, 7 May 2018
  • 2018: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 (1,314 words) - 10:37, 7 May 2018
  • 2018: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 (1,271 words) - 10:38, 7 May 2018
  • 2018: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) - 10:43, 7 May 2018
  • 2018: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) - 10:44, 7 May 2018
  • 2019:Main Page
    ==Welcome to MIREX 2019== ...a-Champaign ([http://www.illinois.edu UIUC]) is the principal organizer of MIREX 2019.
    8 KB (1,245 words) - 15:46, 27 January 2020
  • 2019:Audio Classification (Train/Test) Tasks
    ...arious audio classification tasks that follow this Train/Test process. For MIREX 2018, six classification sub-tasks are included: * [https://www.music-ir.org/mirex/wiki/2019:Audio_K-POP_Mood_Classification Audio K-POP Mood Classification]
    11 KB (1,643 words) - 17:00, 7 March 2019
  • MIREX 2019 Submission Instructions
    * Be sure to read through the [[2019:Main_Page| 2019 MIREX Home]] page * Be sure to read through the task pages for which you are submitting
    4 KB (723 words) - 17:01, 7 March 2019
  • 2019: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 (1,314 words) - 17:04, 7 March 2019
  • 2019: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 (1,271 words) - 17:05, 7 March 2019
  • 2019: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) - 17:07, 7 March 2019
  • 2019: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) - 17:08, 7 March 2019
  • 2019: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 (907 words) - 17:16, 7 March 2019
  • 2019: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) - 17:18, 7 March 2019
  • 2020:Main Page
    ==Welcome to MIREX 2020== ...bana-Champaign ([https://illinois.edu UIUC]) is the principal organizer of MIREX 2020.
    8 KB (1,186 words) - 18:46, 31 August 2020
  • MIREX 2020 Submission Instructions
    * Be sure to read through the [[2020:Main_Page| 2020 MIREX Home]] page * Be sure to read through the task pages for which you are submitting
    4 KB (739 words) - 13:16, 29 July 2020
  • 2020:Audio Classification (Train/Test) Tasks
    ...arious audio classification tasks that follow this Train/Test process. For MIREX 2019, six classification sub-tasks are included: * [https://www.music-ir.org/mirex/wiki/2020:Audio_K-POP_Mood_Classification Audio K-POP Mood Classification]
    11 KB (1,643 words) - 23:43, 1 June 2020
  • 2020: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 (1,314 words) - 23:45, 1 June 2020
  • 2020: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 (1,271 words) - 23:45, 1 June 2020
  • 2020: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) - 23:49, 1 June 2020
  • 2020: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) - 23:49, 1 June 2020
  • 2021: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 (972 words) - 00:29, 14 November 2021
  • 2021: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) - 14:51, 10 September 2021
  • 2021:Main Page
    ==Welcome to MIREX 2021== ...bana-Champaign ([https://illinois.edu UIUC]) is the principal organizer of MIREX 2021.
    8 KB (1,157 words) - 16:53, 26 October 2021
  • MIREX 2021 Submission Instructions
    * Be sure to read through the [[2021:Main_Page| 2021 MIREX Home]] page * Be sure to read through the task pages for which you are submitting
    4 KB (739 words) - 16:31, 10 September 2021

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