Translating Turntablism into a Scratch Markup Language (SML)

Das FAT-Lab arbeitet grade an der Scratch Markup Language, einer Auszeichnungssprache für Turntablism. Das ganze basiert auf der Graffiti Markup Language, die Evan Roth vor ein paar Jahren erfunden hatte, nachdem er Tags in Paris analysiert und in eine Studie übersetzt hatte. Das Projekt hatte ich damals in einer ganzen Reihe von Postings gefeatured (siehe Links unten). Dasselbe Prinzip wollen sie nun auf Deejaying anwenden. Das SML-Projekt ist grade erst gestartet und außer der Ankündigung gibt's noch nicht allzuviel zu sehen, ich halte Euch aber auf jeden Fall auf dem Laufenden, weil äußerst spannend, das hier.

SML (Scratch Markup Language) is a new file format for recording and replaying turntablism. We’ve developed open-source tools for accurately capturing the record and crossfader movements of a scratch DJ, allowing us to analyze, transcribe, and recreate scratch performances. We want to do for turntablism what Graffiti Markup Language has done for tagging — especially teaching giant robot arms how to scratch.

At Art Hack Day we collaborated with other artists and programmers to develop the first prototypes of ScratchML. We used timecode vinyl to capture record movements ($10) and a hacked VCA fader + Arduino to record the crossfader ($30). Scratch data was saved to disk as .sml and broadcast as OSC, which allowed other Art Hack Day participants to build visualizations based on what the DJ was scratching during the exhibition. The apps ranged from spinning-vinyl animations and TTM transcriptions to insane exploding 3D pizzas and a side-scrolling videogame shooter controlled by scratches.

Our goal is to make capturing, replaying, and sharing a scratch performance accurate and easy. SML files can be freely uploaded and downloaded from the database. We’re particularly looking forward to improving the experience of learning how to scratch — e.g. by building apps that show you just how accurate your autobahn scratches actually are.

Scratch Markup Language (.sml), hier die Website zu SML

Vorher auf Nerdcore:
Tagging-Typostudie: Graffiti Taxonomy
Evan Roths Graffiti Analysis 2.0
Graffiti Markup Language 2010