Dath | Dah: machine learning Gaelic arts project

Lauren Glasgow; Verena Henn; Nick Higgins; Damien Smith; Pawel Kudel; Thomas Pollock

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 form › Digital 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 language	English
Publisher	ISO Digital Design Studio
Size	10 mins
Publication status	Published - 28 Jul 2019
Event	Merchant City Festival 2019 - Glasgow, United Kingdom Duration: 25 Jul 2019 → 28 Jul 2019 https://www.merchantcityfestival.com/

Keywords

Machine learning
Speech recognition
Interactive art
Interactive design
Gaelic culture

Cite this

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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.",

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AB - 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.

KW - Machine learning

KW - Speech recognition

KW - Interactive art

KW - Interactive design

KW - Gaelic culture

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PB - ISO Digital Design Studio

Y2 - 25 July 2019 through 28 July 2019

ER -

Dath | Dah: machine learning Gaelic arts project

Abstract

Keywords

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