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

Éric Le Ferrand; Steven Bird; Laurent Besacier

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 proceeding › Conference Paper published in Proceedings › peer-review

4 Citations (Scopus)

56 Downloads (Pure)

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 language	English
Title of host publication	Proceedings of the 29th International Conference on Computational Linguistics
Place of Publication	Gyeongju
Publisher	International Committee on Computational Linguistics
Pages	4274-4285
Number of pages	12
Volume	29
Edition	1
Publication status	Published - 1 Oct 2022
Event	29th International Conference on Computational Linguistics, COLING 2022 - Gyeongju, Korea, Republic of Duration: 12 Oct 2022 → 17 Oct 2022

Publication series

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

Conference

Conference	29th International Conference on Computational Linguistics, COLING 2022
Country/Territory	Korea, Republic of
City	Gyeongju
Period	12/10/22 → 17/10/22

Bibliographical note

Funding Information:
This research was covered by a research permit from the Northern Land Council, ethics approved from CDU and was supported by the Australian government through a PhD scholarship, and grants from the Australian Research Council and the Indigenous Language and Arts Program. All the participants have been paid at the regular rate for Aboriginal people consultancy.

Publisher Copyright:
© 2022 Proceedings - International Conference on Computational Linguistics, COLING. All rights reserved.

Access to Document

68166274-oaFinal published version, 2.15 MBLicence: CC BY

https://aclanthology.org/2022.coling-1.376

Cite this

Le Ferrand, É., Bird, S., & Besacier, L. (2022). Fashioning Local Designs from Generic Speech Technologies in an Australian Aboriginal Community. In Proceedings of the 29th International Conference on Computational Linguistics (1 ed., Vol. 29, pp. 4274-4285). (Proceedings - International Conference on Computational Linguistics, COLING). International Committee on Computational Linguistics. https://aclanthology.org/2022.coling-1.376

Le Ferrand, Éric ; Bird, Steven ; Besacier, Laurent. / Fashioning Local Designs from Generic Speech Technologies in an Australian Aboriginal Community. Proceedings of the 29th International Conference on Computational Linguistics. Vol. 29 1. ed. Gyeongju : International Committee on Computational Linguistics, 2022. pp. 4274-4285 (Proceedings - International Conference on Computational Linguistics, COLING).

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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.",

author = "{Le Ferrand}, {\'E}ric and Steven Bird and Laurent Besacier",

note = "Funding Information: This research was covered by a research permit from the Northern Land Council, ethics approved from CDU and was supported by the Australian government through a PhD scholarship, and grants from the Australian Research Council and the Indigenous Language and Arts Program. All the participants have been paid at the regular rate for Aboriginal people consultancy. Publisher Copyright: {\textcopyright} 2022 Proceedings - International Conference on Computational Linguistics, COLING. All rights reserved.; 29th International Conference on Computational Linguistics, COLING 2022 ; Conference date: 12-10-2022 Through 17-10-2022",

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Le Ferrand, É, Bird, S & Besacier, L 2022, Fashioning Local Designs from Generic Speech Technologies in an Australian Aboriginal Community. in Proceedings of the 29th International Conference on Computational Linguistics. 1 edn, vol. 29, Proceedings - International Conference on Computational Linguistics, COLING, International Committee on Computational Linguistics, Gyeongju, pp. 4274-4285, 29th International Conference on Computational Linguistics, COLING 2022, Gyeongju, Korea, Republic of, 12/10/22. <https://aclanthology.org/2022.coling-1.376>

Fashioning Local Designs from Generic Speech Technologies in an Australian Aboriginal Community. / Le Ferrand, Éric; Bird, Steven; Besacier, Laurent.
Proceedings of the 29th International Conference on Computational Linguistics. Vol. 29 1. ed. Gyeongju: International Committee on Computational Linguistics, 2022. p. 4274-4285 (Proceedings - International Conference on Computational Linguistics, COLING).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

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AB - 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.

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Le Ferrand É, Bird S, Besacier L. Fashioning Local Designs from Generic Speech Technologies in an Australian Aboriginal Community. In Proceedings of the 29th International Conference on Computational Linguistics. 1 ed. Vol. 29. Gyeongju: International Committee on Computational Linguistics. 2022. p. 4274-4285. (Proceedings - International Conference on Computational Linguistics, COLING).

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

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