Fluid cyborg

This project is an audio programming based sound performance that samples and reconfigures a poetic dialogue co-written with a Virginia Woolf AI.
It begins with a scripted exchange between Cyborg Bridget and Bridget, forming the foundation for a collaboration with LSTM Woolf, a machine learning model trained on the corpus of Virginia Woolf.
After the script is read in the performer’s native language, Korean, the recording is segmented into syllables and sampled. These voice fragments are then processed and recomposed through real-time audio programming, forming the core of the live performance.
Through this layered process, the boundaries between socially imposed gender role norms and the performativity of femininity, human and non-human, self and other, past and present begin to blur. The voice becomes both data and memory, echoing Woolf’s explorations of identity and temporality. The typewriter and the sampler serve as intergenerational interfaces that connect historical text with computational sound.
This work invites the audience into a speculative space of language and sonic abstraction, where machine learning, human expression, and poetic intuition co-create meaning. It is not simply a reenactment, but a reimagining of presence through text, voice, and code.