Dath | Dah: machine learning Gaelic arts project

Lauren Glasgow (Artist), Verena Henn (Developer), Nick Higgins (Other), Damien Smith (Producer), Pawel Kudel (Developer), Thomas Pollock (Designer)

Research output: Non-textual formDigital or Visual Products

Abstract

Dath | Dah is an interactive installation that utilises machine learning technology to engage the non-Gaelic speaking audience - bridging the gap between Gaelic and the mainstream - while mimicking natural language progression. The project was commissioned by Glasgow Life's Gaelic arts programme GUIR as part of a series of new works that explore Gaelic culture across different art forms. The audience is invited to use a sequence of five Gaelic words to interact with a visual display. Only upon successful recognition of a word by the ML system, users can move on to the next word. Attempts are recorded and fed back into the ML system which then adapts and evolves over time based on the pronunciations it has been exposed to. Created in collaboration with the ISO digital design studio and exhibited as part of Merchant City Festival 2019.
Original languageEnglish
PublisherISO Digital Design Studio
Size10 mins
Publication statusPublished - 28 Jul 2019
EventMerchant City Festival 2019 - Glasgow, United Kingdom
Duration: 25 Jul 201928 Jul 2019
https://www.merchantcityfestival.com/

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Keywords

  • Machine learning
  • Speech recognition
  • Interactive art
  • Interactive design
  • Gaelic culture

Cite this

Glasgow, L. (Artist), Henn, V. (Developer), Higgins, N. (Other), Smith, D. (Producer), Kudel, P. (Developer), & Pollock, T. (Designer). (2019). Dath | Dah: machine learning Gaelic arts project. Digital or Visual Products, ISO Digital Design Studio.