Leveraging supplementary text data to kick-start automatic speech recognition system development with limited transcriptions

Nay San, Martijn Bartelds, Blaine Billings, Ella de Falco, Hendi Feriza, Johan Safri, Wawan Sahrozi, Ben Foley, Bradley McDonnell, Dan Jurafsky


Anthology ID:
2023.computel-1.1
Volume:
Proceedings of the Sixth Workshop on the Use of Computational Methods in the Study of Endangered Languages
Month:
March
Year:
2023
Address:
Remote
Editors:
Atticus Harrigan, Aditi Chaudhary, Shruti Rijhwani, Sarah Moeller, Antti Arppe, Alexis Palmer, Ryan Henke, Daisy Rosenblum
Venue:
ComputEL
SIG:
SIGEL
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–6
Language:
URL:
https://aclanthology.org/2023.computel-1.1
DOI:
Bibkey:
Cite (ACL):
Nay San, Martijn Bartelds, Blaine Billings, Ella de Falco, Hendi Feriza, Johan Safri, Wawan Sahrozi, Ben Foley, Bradley McDonnell, and Dan Jurafsky. 2023. Leveraging supplementary text data to kick-start automatic speech recognition system development with limited transcriptions. In Proceedings of the Sixth Workshop on the Use of Computational Methods in the Study of Endangered Languages, pages 1–6, Remote. Association for Computational Linguistics.
Cite (Informal):
Leveraging supplementary text data to kick-start automatic speech recognition system development with limited transcriptions (San et al., ComputEL 2023)
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PDF:
https://aclanthology.org/2023.computel-1.1.pdf