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Name: Extracting musical information from sound
--client psf --show pycon_2012 --room E2 703 --force
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Author(s):	Adrian Holovaty
Location	Track III (E2)
Date	mar Fri 09	Days Raw Files
Start	March 9, 2012, 11:30 a.m.	First Raw Start	March 8, 2012, 11:26 a.m.
Duration	00:40:00	Offset	1 day, 0:03:20
End	March 9, 2012, 12:10 p.m.	Last Raw End	March 8, 2012, 12:10 p.m.
Chapters	00:00 0:03:42
Total cuts_time	27 min.

http://us.pycon.org/2012/schedule/presentation/6/
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assets release.pdf Extracting_musical_information_from_sound.json
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Description:	[audio missing from first 3 min] Music Information Retrieval technology has gotten good enough that you extract musical metadata from your sound files with some degree of accuracy. Find out how to use Python (along with third-party APIs) to determine everything from the key/tempo of a song to the pitch/timbre of individual notes. Then we'll do some amusing analysis of popular tunes. markdown
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2012-03-08/11:26:40.dv Apply: 11:26:40 - 11:35:06 ( 00:08:26 ) S: 11:26:40 - E: 11:35:06 D: 00:08:26 show more...

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	March 8, 2012, 11:26 a.m.		seconds: 0.0 Wall: 11:26:40
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2012-03-08/11:35:06.dv Apply: 11:35:06 - 11:35:16 ( 00:00:10 ) S: 11:35:06 - E: 11:35:16 D: 00:00:10 show more...

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2012-03-08/11:35:17.dv Apply: 11:35:17 - 11:38:59 ( 00:03:42 ) S: 11:35:17 - E: 11:38:59 D: 00:03:42 show more...

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2012-03-08/11:39:00.dv Apply: 11:39:00 - 12:02:45 ( 00:23:45 ) S: 11:39:00 - E: 12:02:45 D: 00:23:45 show more...

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2012-03-08/12:02:47.dv Apply: 12:02:47 - 12:10:12 ( 00:07:25 ) S: 12:02:47 - E: 12:10:12 D: 00:07:25 show more...

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