Fashioning Local Designs from Generic Speech Technologies in an Australian Aboriginal Community

Éric Le Ferrand, Steven Bird, Laurent Besacier

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedingspeer-review

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Abstract

An increasing number of papers have been addressing issues related to low-resource languages and the transcription bottleneck paradigm. After several years spent in Northern Australia, where some of the strongest Aboriginal languages are spoken, we could observe a gap between the motivations depicted in research contributions in this space and the Northern Australian context. In this paper, we address this gap in research by exploring the potential of speech recognition in an Aboriginal community. We describe our work from training a spoken term detection system to its implementation in an activity with Aboriginal participants. We report here on one side how speech recognition technologies can find their place in an Aboriginal context and, on the other, methodological paths that allowed us to reach better comprehension and engagement from Aboriginal participants.
Original languageEnglish
Title of host publicationProceedings of the 29th International Conference on Computational Linguistics
Place of PublicationGyeongju
PublisherInternational Committee on Computational Linguistics
Pages4274-4285
Number of pages12
Volume29
Edition1
Publication statusPublished - 1 Oct 2022
Event29th International Conference on Computational Linguistics, COLING 2022 - Gyeongju, Korea, Republic of
Duration: 12 Oct 202217 Oct 2022

Publication series

NameProceedings - International Conference on Computational Linguistics, COLING
ISSN (Print)2951-2093

Conference

Conference29th International Conference on Computational Linguistics, COLING 2022
Country/TerritoryKorea, Republic of
CityGyeongju
Period12/10/2217/10/22

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