2019:Music Detection - Revision history

Blai Melendez-Catalan: /* Datasets */

2019-08-30T08:10:20Z

‎Datasets

2019-08-26T14:37:22Z

‎Submission closing date

2019-08-26T14:36:41Z

‎References

2019-08-26T14:28:56Z

‎Annotation

2019-08-26T14:28:33Z

2019-08-26T14:16:17Z

‎Annotation

2019-08-26T14:08:14Z

‎Content

2019-05-24T15:12:42Z

2019-05-23T18:06:59Z

Created page with "coming soon"

New page

coming soon

← Older revision		Revision as of 08:10, 30 August 2019
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	Open Broadcast Media Audio from TV:		Open Broadcast Media Audio from TV:
−	~~The link will be available soon~~.	+	https://zenodo.org/record/3381249

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 ==Submission closing date==
-TBD
+September 30th 2019
 ==Task specific mailing list==
 All discussions on this task will take place on the MIREX  [https://mail.lis.illinois.edu/mailman/listinfo/evalfest "EvalFest" list]. If you have a question or comment, simply include the task name in the subject heading.

← Older revision		Revision as of 14:36, 26 August 2019
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	All discussions on this task will take place on the MIREX [https://mail.lis.illinois.edu/mailman/listinfo/evalfest "EvalFest" list]. If you have a question or comment, simply include the task name in the subject heading.		All discussions on this task will take place on the MIREX [https://mail.lis.illinois.edu/mailman/listinfo/evalfest "EvalFest" list]. If you have a question or comment, simply include the task name in the subject heading.
−
−	~~==References==~~
−	~~{{Reflist}}~~

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 ====Annotation====
-The evaluation dataset has been cross-annotated by 3 annotators using a 6-class taxonomy: ''Music'', ''Foreground Music'', ''Similar'', ''Background Music'', ''Low Background Music'', and ''No Music'' as done in the OpenBMAT dataset<ref>Meléndez-Catalán, B., Molina, E., & Gómez, E. (2019). Open Broadcast Media Audio from TV: A Dataset of TV Broadcast Audio with Relative Music Loudness Annotations. Transactions of the International Society for Music Information Retrieval, 2(1), pp. 43–51. DOI: https://doi.org/10.5334/tismir.29</ref>, which can be used for training.
+The evaluation dataset has been cross-annotated by 3 annotators using a 6-class taxonomy: ''Music'', ''Foreground Music'', ''Similar'', ''Background Music'', ''Low Background Music'', and ''No Music'' as done in the OpenBMAT dataset, which can be used for training.
 ==Evaluation==

@@ Line 54: / Line 54: @@
 ====Annotation====
-The evaluation dataset has been cross-annotated by 3 annotators using a 6-class taxonomy: ''Music'', ''Foreground Music'', ''Similar'', ''Background Music'', ''Low Background Music'', and ''No Music'' as done in the OpenBMAT dataset, which can be used for training.
+The evaluation dataset has been cross-annotated by 3 annotators using a 6-class taxonomy: ''Music'', ''Foreground Music'', ''Similar'', ''Background Music'', ''Low Background Music'', and ''No Music'' as done in the OpenBMAT dataset<ref>Meléndez-Catalán, B., Molina, E., & Gómez, E. (2019). Open Broadcast Media Audio from TV: A Dataset of TV Broadcast Audio with Relative Music Loudness Annotations. Transactions of the International Society for Music Information Retrieval, 2(1), pp. 43–51. DOI: https://doi.org/10.5334/tismir.29</ref>, which can be used for training.
 ==Evaluation==
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 All discussions on this task will take place on the MIREX  [https://mail.lis.illinois.edu/mailman/listinfo/evalfest "EvalFest" list]. If you have a question or comment, simply include the task name in the subject heading.

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 ====Content====
-TBD
+The evaluation dataset consists of 2987 1-minute, stereo excerpts at 22050 Hz extracted from programs from France (753), Germany (760), Spain (723) and the United States (751).
 ====Annotation====