Sangam: A Confluence of Knowledge Streams

Voicing Kinship with Machines: Diffractive Empathetic Listening to Synthetic Voices in Performance.

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dc.contributor Thomaidis, Konstantinos
dc.contributor Brown, Bryan
dc.creator Bentivegna, F
dc.date 2023-01-17T10:27:22Z
dc.date 2023-01-16
dc.date 2023-01-17T09:44:46Z
dc.date 2023-01-17T10:27:22Z
dc.date.accessioned 2023-02-23T12:19:27Z
dc.date.available 2023-02-23T12:19:27Z
dc.identifier http://hdl.handle.net/10871/132253
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/258766
dc.description This thesis contributes to the field of voice studies by analyzing the design and production of synthetic voices in performance. The work explores six case studies, consisting of different performative experiences of the last decade (2010- 2020) that featured synthetic voice design. It focusses on the political and social impact of synthetic voices, starting from yet challenging the concepts of voice in the machine and voice of the machine. The synthetic voices explored are often playing the role of simulated artificial intelligences, therefore this thesis expands its questions towards technology at large. The analysis of the case studies follows new materialist and posthumanist premises, yet it tries to confute the patriarchal and neoliberal approach towards technological development through feminist and de-colonial approaches, developing a taxonomy for synthetic voices in performance. Chapter 1 introduces terms and explains the taxonomy. Chapter 2 looks at familiar representations of fictional AI. Chapter 3 introduces headphone theatre exploring immersive practices. Chapters 4 and 5 engage with chatbots. Chapter 6 goes in depth exploring Human and Artificial Intelligence interaction, whereas chapter 7 moves slightly towards music production and live art. The body of the thesis includes the work of Pipeline Theatre, Rimini Protokoll, Annie Dorsen, Begüm Erciyas, and Holly Herndon. The analysis is informed by posthumanism, feminism, and performance studies, starting from my own practice as sound designer and singer, looking at aesthetics of reproduction, audience engagement, and voice composition. This thesis has been designed to inspire and provoke practitioners and scholars to explore synthetic voices further, question predominant biases of binarism and acknowledge their importance in redefining technology.
dc.publisher University of Exeter
dc.publisher Drama
dc.rights http://www.rioxx.net/licenses/all-rights-reserved
dc.subject Voice
dc.subject AI
dc.subject Performance
dc.subject Speech synthesis
dc.subject Theatre
dc.subject Bot
dc.subject Technology
dc.title Voicing Kinship with Machines: Diffractive Empathetic Listening to Synthetic Voices in Performance.
dc.type Thesis or dissertation
dc.type PhD in Performance Practices
dc.type Doctoral
dc.type Doctoral Thesis


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