SPECIAL ISSUE 15 MARTIN DAILY BOARD: Difference between revisions

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* Aesthetic Porgramming https://aesthetic-programming.net/
* Aesthetic Porgramming https://aesthetic-programming.net/
* Difraction vs Reflection https://possiblebodies.constantvzw.org/files/implicancies/reflection-diffraction.pdf
* Difraction vs Reflection https://possiblebodies.constantvzw.org/files/implicancies/reflection-diffraction.pdf
* Music with Python here https://wiki.python.org/moin/PythonInMusic (note: install github)
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Revision as of 19:01, 22 April 2021

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Keywords



_ making of worlds. language, science, technology : these forces produce worlds. world doesn't exist w/o language, language is an active part of the world

  • The poetic of relations (Eduard Glissant)
  • Entanglement (Karen Barad)

_ entanglement assumes that we have different things that are being knotted together _ state of being knotted together Denise Ferreira Da Silva: introduces "implicancies" things be co-response-able for each other starting point is particles

  • Response-ability (Barad + Haraway)
  • Implicancies (Denise Ferreira Da Silva)

_ The term "implicancies" brings together: entanglement, response-ability & relations. That is why this SI is called Radio Implicancies

  • Techno-epistomologies:

_ Technological knowledge systems [metadata etc how algorithms produce data]

  • Techno-ontology: How social media puts a filter on the world. We know a lot about bodies through scanning technologie. In line with that: algorithms are part of the world, while structuring the world. So when it is claimed to work on "fair AI" or "fair algorithms", algorithms are placed outside the worlding forces.

_ Donna Haraway's frames of references: biology, US based, 75 year old https://www.youtube.com/watch?v=J2DcAf16zeI _ 2nd person that is important in thinking through relations: Eduart Glissant in French context.

Ressources



From https://pzwiki.wdka.nl/mediadesign/Implicancies_Resources

Watching / listening

Reading



Sketch a musical composition



  • Each of the 2 system login sounds slowed down as a starter

Legend Radio with Louisa



Louisa and I created a musical dialogue between Microsoft and Mac operating sound systems. In order to create this soundtrack, we first used Musiclab, a Google song maker allowing to make simple songs with visual patterns. In a second step, we tryed to remake our song with Earsketch, a sound editor working with Python language. By refering to Musicalab visual pattern, we could quiet easily understand how to reconstruct our track in Python. Some screenshots bellow will eventually even show so visual links between the two things! 

#		python code
#		script_name:
#
#		author:
#		description:
#

from earsketch import *

init()
setTempo(115)

# Add Sounds
fitMedia(MARTINFOUCAUT_STARTUP_CUSTOM , 15, 1, 3)
fitMedia(MARTINFOUCAUT_START_UP_WINDOWS2, 16, 1.5, 4)
fitMedia(MARTINFOUCAUT_STARTUP20, 15, 19, 26)
fitMedia(MARTINFOUCAUT_EVERY_WINDOWS_STARTUP_SHUTDOWN_SOUND_TRIM, 16, 19, 20)
#fitMedia(MARTINFOUCAUT_LOOPE, 5, 20, 30)
#fitMedia(MARTINFOUCAUT_LOOPF, 6, 25, 35)
#fitMedia(MARTINFOUCAUT_LOOPG, 7, 30, 40)
#fitMedia(MARTINFOUCAUT_LOOPH, 8, 35, 45)
#fitMedia(YG_RNB_TAMBOURINE_1, 10, 1, 5)
#fitMedia(YG_FUNK_CONGAS_3, 11, 1, 5)
#fitMedia(YG_FUNK_HIHAT_2, 12, 5, 9)
#fitMedia(RD_POP_TB303LEAD_3, 13, 5, 9)

 
# Effects fade in
#setEffect(1, VOLUME,GAIN, -20, 5, 1, 10)

# Fills
fillA = "----0-------0-------0-------0---"
fillB = "0-00------0---0-0-00------0---0-"
fillN = "0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-0-"


fillC = "--------------0---0---0---0-----"
fillD = "--0--0--0--0----0---0-----0-0-0-"
fillE = "-0--0--0--0---0---0---0---------"
fillF = "0--0--0--0------0---0-----0-0-0-"

fillG = "----------------------0-------0-"
fillH = "---0--0--0--0-------------------"
fillI = "-------------0--------0---------"
fillJ = "--------------0------0------0---"
fillK = "------------0---0---0--------0--"
fillL = "------------------------------0-"
fillM = "------------0---0---0--00---0---"

makeBeat(MARTINFOUCAUT_WINDOWS_RECYCLE2, 12 , 3, fillA)
makeBeat(MARTINFOUCAUT_BASSO, 13, 3, fillB)

makeBeat(MARTINFOUCAUT_SPEECH_MISRECOGNITION, 14, 2, fillN)
makeBeat(MARTINFOUCAUT_SPEECH_MISRECOGNITION, 14, 4, fillN)
makeBeat(MARTINFOUCAUT_SPEECH_MISRECOGNITION, 14, 6, fillN)
makeBeat(MARTINFOUCAUT_SPEECH_MISRECOGNITION, 14, 8, fillN)
makeBeat(MARTINFOUCAUT_SPEECH_MISRECOGNITION, 14, 10, fillN)
makeBeat(MARTINFOUCAUT_SPEECH_MISRECOGNITION, 14, 12, fillN)
makeBeat(MARTINFOUCAUT_SPEECH_MISRECOGNITION, 14, 14, fillN)
makeBeat(MARTINFOUCAUT_SPEECH_MISRECOGNITION, 14, 16, fillN)
makeBeat(MARTINFOUCAUT_SPEECH_MISRECOGNITION, 14, 18, fillN)

makeBeat(MARTINFOUCAUT_WINDOWS_RECYCLE2, 12 , 4, fillA)
makeBeat(MARTINFOUCAUT_BASSO, 13, 4, fillB)

makeBeat(MARTINFOUCAUT_WINDOWS_RECYCLE2, 12 , 6, fillA)
makeBeat(MARTINFOUCAUT_BASSO, 13, 6, fillB)

makeBeat(MARTINFOUCAUT_WINDOWS_RECYCLE2, 12 , 8, fillA)
makeBeat(MARTINFOUCAUT_BASSO, 13, 8, fillB)

makeBeat(MARTINFOUCAUT_WINDOWS_RECYCLE2, 12 , 10, fillA)
makeBeat(MARTINFOUCAUT_BASSO, 13, 10, fillB)

makeBeat(MARTINFOUCAUT_WINDOWS_RECYCLE2, 12 , 12, fillA)
makeBeat(MARTINFOUCAUT_BASSO, 13, 12, fillB)

makeBeat(MARTINFOUCAUT_WINDOWS_RECYCLE2, 12 , 14, fillA)
makeBeat(MARTINFOUCAUT_BASSO, 13, 14, fillB)

makeBeat(MARTINFOUCAUT_WINDOWS_RECYCLE2, 12 , 16, fillA)
makeBeat(MARTINFOUCAUT_BASSO, 13, 16, fillB)

makeBeat(MARTINFOUCAUT_WINDOWS_DING4, 1, 6, fillC)
makeBeat(MARTINFOUCAUT_WINDOWS_DING3, 2, 6, fillD)
makeBeat(MARTINFOUCAUT_WINDOWS_DING2, 3, 6, fillE)
makeBeat(MARTINFOUCAUT_WINDOWS_DING1, 4, 6, fillF)

makeBeat(MARTINFOUCAUT_WINDOWS_DING4, 1, 8, fillC)
makeBeat(MARTINFOUCAUT_WINDOWS_DING3, 2, 8, fillD)
makeBeat(MARTINFOUCAUT_WINDOWS_DING2, 3, 8, fillE)
makeBeat(MARTINFOUCAUT_WINDOWS_DING1, 4, 8, fillF)

makeBeat(MARTINFOUCAUT_WINDOWS_DING4, 1, 12, fillC)
makeBeat(MARTINFOUCAUT_WINDOWS_DING3, 2, 12, fillD)
makeBeat(MARTINFOUCAUT_WINDOWS_DING2, 3, 12, fillE)
makeBeat(MARTINFOUCAUT_WINDOWS_DING1, 4, 12, fillF)

makeBeat(MARTINFOUCAUT_WINDOWS_DING4, 1, 16, fillC)
makeBeat(MARTINFOUCAUT_WINDOWS_DING3, 2, 16, fillD)
makeBeat(MARTINFOUCAUT_WINDOWS_DING2, 3, 16, fillE)
makeBeat(MARTINFOUCAUT_WINDOWS_DING1, 4, 16, fillF)


makeBeat(MARTINFOUCAUT_GLASS5, 5, 10, fillG)
makeBeat(MARTINFOUCAUT_GLASS, 6, 10, fillH)
makeBeat(MARTINFOUCAUT_GLASS2, 7, 10, fillI)
makeBeat(MARTINFOUCAUT_GLASS3, 8, 10, fillJ)
makeBeat(MARTINFOUCAUT_GLASS4, 9, 10, fillK)
makeBeat(MARTINFOUCAUT_GLASS7, 10, 10, fillL)
makeBeat(MARTINFOUCAUT_GLASS6, 11, 10, fillM)

makeBeat(MARTINFOUCAUT_GLASS5, 5, 12, fillG)
makeBeat(MARTINFOUCAUT_GLASS, 6, 12, fillH)
makeBeat(MARTINFOUCAUT_GLASS2, 7, 12, fillI)
makeBeat(MARTINFOUCAUT_GLASS3, 8, 12, fillJ)
makeBeat(MARTINFOUCAUT_GLASS4, 9, 12, fillK)
makeBeat(MARTINFOUCAUT_GLASS7, 10, 12, fillL)
makeBeat(MARTINFOUCAUT_GLASS6, 11, 12, fillM)

makeBeat(MARTINFOUCAUT_GLASS5, 5, 14, fillG)
makeBeat(MARTINFOUCAUT_GLASS, 6, 14, fillH)
makeBeat(MARTINFOUCAUT_GLASS2, 7, 14, fillI)
makeBeat(MARTINFOUCAUT_GLASS3, 8, 14, fillJ)
makeBeat(MARTINFOUCAUT_GLASS4, 9, 14, fillK)
makeBeat(MARTINFOUCAUT_GLASS7, 10, 14, fillL)
makeBeat(MARTINFOUCAUT_GLASS6, 11, 14, fillM)

finish()


LT_MF_EarchsetchCapture_01
LTMF_MusicLab_Song01












Eachsketch_Pattern_01
























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