TY - GEN
T1 - Fashioning Local Designs from Generic Speech Technologies in an Australian Aboriginal Community
AU - Le Ferrand, Éric
AU - Bird, Steven
AU - Besacier, Laurent
N1 - 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.
PY - 2022/10/1
Y1 - 2022/10/1
N2 - 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.
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.
UR - http://www.scopus.com/inward/record.url?scp=85148744068&partnerID=8YFLogxK
M3 - Conference Paper published in Proceedings
VL - 29
T3 - Proceedings - International Conference on Computational Linguistics, COLING
SP - 4274
EP - 4285
BT - Proceedings of the 29th International Conference on Computational Linguistics
PB - International Committee on Computational Linguistics
CY - Gyeongju
T2 - 29th International Conference on Computational Linguistics, COLING 2022
Y2 - 12 October 2022 through 17 October 2022
ER -