Francesco Bentivegna

Papers

Total Citations

H-Index

About

Francesco Bentivegna’s research sits at the provocative intersection of performance studies, sound art, and human-machine interaction. His most cited work, “Becoming robot through voice: training in artificial voices” (2019), exemplifies his practice-as-research PhD approach, where he turns the tables on technology: rather than programming a computer to sound human, he trains his own voice to mimic synthetic speech, using the machine as his coach. This photo essay, accompanied by audio files, challenges our assumptions about authenticity, embodiment, and the boundaries between organic and artificial expression. While his citation count (2) is modest, the conceptual boldness of his work—asking what it means to “become robot” through vocal training—positions him as an emerging voice in posthumanist performance. His contribution lies in reframing the voice not as a natural given but as a site of technological discipline and creative resistance. For students and researchers in sound studies, digital humanities, or performance philosophy, Bentivegna’s work offers a compelling, hands-on model for exploring how we are shaped by the tools we use.