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Algorithmically Generated Music Using Pyo Based on User Data
--client
big_apple_py
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pygotham_2016
--room Room_CR5 11128 --force
Next: 11 Wrapping Go in Python
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Marks
Author(s):
David Groff
Location
Room CR5
Date
jul Sun 17
Days Raw Files
Start
15:15
First Raw Start
14:46
Duration
00:25:00
Offset
0:28:07
End
15:40
Last Raw End
16:16
Chapters
00:00
0:14:34
Total cuts_time
22 min.
https://2016.pygotham.org/talks/336/algorithmically-generated-music-using-pyo-based-on-user-data
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At Peloton our data is pedaling speed and resistance from every second while a user rides their bike. We can use this data to generate music that plays back to the user. One way to generate unique and interesting sounds is using Pyo, a python-based DSP library, in combination with custom MIDI samples. This talk will cover how we structure this data, turn the data into music, and stream it to the user using a python-based pipeline.
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production notes
2016-07-17/14_46_53.ts
Apply:
14:46:53 - 15:16:52 ( 00:29:59 )
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14:46:53
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Duration
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15:16:52
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dv.m3u
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15:16:53 - 15:23:17 ( 00:06:24 )
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Duration
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seconds: 384.0
Wall: 15:23:17
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15:16:53
seconds: 384.0
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Duration
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seconds: 925.0
Wall: 15:32:18
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seconds: 925.0
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Raw File
Cut List
15:46:53
seconds: 0.0
Wall: 15:46:53
Duration
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16:16:52
seconds: 490.102104
Wall: 15:55:03
Comments:
mp4
mp4.m3u
dv.m3u
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2016-07-17/14_46_53.ts
2016-07-17/15_16_53.ts
2016-07-17/15_46_53.ts
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