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Remediation of the Sigh
Remediation of the Sigh is a media artifact on vinyl with AI-generated songs based on Catalan poems by Ausiàs March, Joan Roís de Corella, Joan Timoneda and Guerau de Maçanet. The project began as an experiment with a music AI model (Suno): how would it handle medieval and early modern Catalan? What emerged was a study in mediation — in how language, sound, and code transform one another through successive layers of translation.
The selection mostly revolves around fin’amor, the medieval code of love. March’s „Puix que sens“ is the exception: not a love poem but a religious one — and yet, in the short excerpt used here (the original is much longer), it reads like a text about a relationship under semiotic collapse.
The generative process itself was far from seamless. Working with a language largely absent from training data produced unpredictable shifts — occasional slips into Portuguese phonetics, sudden British accents, unstable prosody.
Over the course of these transformations — from early modern text to digital prompt, from AI synthesis to download, from upload to vinyl — the project became an inquiry into remediations. Ten records were pressed. Their material friction — the crackle, hiss, and wear of the grooves — constitutes the central event of the work: the moment when the synthetic returns to the tangible.
Marenki
Marenki is the name Maren Burghard uses for some of her AI-based projects.
Maren Burghard works at the intersection of curatorial research, generative media and artistic practice. Trained in language and communication, she treats text as an operative medium: a script that activates images, sounds, and systems. Her projects explore how meaning is produced when modalities and codes circulate through machines. In the exhibition series „New Realities“, she challenges authorship and perception under algorithmic conditions. In the exhibition series „New Realities“, developed together with co-curator Dr. Annabelle Hornung for the Museums of Communication in Nuremberg, Frankfurt, and Berlin, she investigates authorship and perception under algorithmic conditions.