GMU:Critical VR Lab II/Kristin Jakubek: Difference between revisions

The project is based on the poem ‘twist’- as spoken/presented by the poet herself- the style of which will be analysed and relayed through a Data Patch in the visual programming software Pure Data.  

The set-up of the patches follows the question: (how) Do small shifts in rhythm, tempo, pauses (and pitch) create a unique auditory experience? This generative sound experience is designed to be nuanced and slightly different every time it is played/performed by the algorithm. Just as it would be performed as spoken word by the human poet.  

The data patch will identify pauses in the poem and randomise them. Hence, pulling words further apart, splitting them in two, or pushing them closer together, creating new sound-word-hybrids in the process, which will be based on the internal logic of the spoken poem as it was originally performed. In effect, this might leave a moment longer to understand, or make it a second harder to catch up with what is being said. Words that carry more weight because of their emphasised intonation might be pitched even lower, or inverse, their emphasis might be lifted completely. Sentences that are spoken quickly might be made even quicker or slowed.