Enabling interactive transcription in an Indigenous community

Eric Le Ferrand; Steven Bird; Laurent Besacier

doi:10.18653/v1/2020.coling-main.303

Enabling interactive transcription in an Indigenous community

Eric Le Ferrand, Steven Bird, Laurent Besacier

CDU Higher Degree by Research (HDR) Cohort

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

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Abstract

We propose a novel transcription workflow which combines spoken term detection and human-in-the-loop, together with a pilot experiment. This work is grounded in an almost zero-resource scenario where only a few terms have so far been identified, involving two endangered languages. We show that in the early stages of transcription, when the available data is insufficient to train a robust ASR system, it is possible to take advantage of the transcription of a small number of isolated words in order to bootstrap the transcription of a speech collection.

Original language	English
Title of host publication	Proceedings of the 28th International Conference on Computational Linguistics
Editors	Donia Scott, Nuria Bel, Chengqing Zong
Place of Publication	Czech Republic
Pages	3422-3428
Number of pages	7
Volume	1
ISBN (Electronic)	978-1-952148-27-9
DOIs	https://doi.org/10.18653/v1/2020.coling-main.303
Publication status	Published - 2020
Event	The 28th International Conference on Computational Linguistics: COLING 2020 - Barcelona, Spain Duration: 8 Dec 2020 → 13 Dec 2020 https://www.aclweb.org/anthology/2020.coling-main.0.pdf

Conference

Conference	The 28th International Conference on Computational Linguistics
Country/Territory	Spain
City	Barcelona
Period	8/12/20 → 13/12/20
Internet address	https://www.aclweb.org/anthology/2020.coling-main.0.pdf

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10.18653/v1/2020.coling-main.303Licence: CC BY

36427015-oaFinal published version, 2.79 MBLicence: CC BY

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title = "Enabling interactive transcription in an Indigenous community",

abstract = "We propose a novel transcription workflow which combines spoken term detection and human-in-the-loop, together with a pilot experiment. This work is grounded in an almost zero-resource scenario where only a few terms have so far been identified, involving two endangered languages. We show that in the early stages of transcription, when the available data is insufficient to train a robust ASR system, it is possible to take advantage of the transcription of a small number of isolated words in order to bootstrap the transcription of a speech collection.",

author = "{Le Ferrand}, Eric and Steven Bird and Laurent Besacier",

year = "2020",

doi = "10.18653/v1/2020.coling-main.303",

language = "English",

volume = "1",

pages = "3422--3428",

editor = "Donia Scott and Nuria Bel and Chengqing Zong",

booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",

note = "The 28th International Conference on Computational Linguistics : COLING 2020 ; Conference date: 08-12-2020 Through 13-12-2020",

url = "https://www.aclweb.org/anthology/2020.coling-main.0.pdf",

}

Le Ferrand, E , Bird, S & Besacier, L 2020, Enabling interactive transcription in an Indigenous community. in D Scott, N Bel & C Zong (eds), Proceedings of the 28th International Conference on Computational Linguistics. vol. 1, Czech Republic, pp. 3422-3428, The 28th International Conference on Computational Linguistics, Barcelona, Spain, 8/12/20. https://doi.org/10.18653/v1/2020.coling-main.303

Enabling interactive transcription in an Indigenous community. / Le Ferrand, Eric ; Bird, Steven; Besacier, Laurent.

Proceedings of the 28th International Conference on Computational Linguistics. ed. / Donia Scott; Nuria Bel; Chengqing Zong. Vol. 1 Czech Republic, 2020. p. 3422-3428.

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

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AB - We propose a novel transcription workflow which combines spoken term detection and human-in-the-loop, together with a pilot experiment. This work is grounded in an almost zero-resource scenario where only a few terms have so far been identified, involving two endangered languages. We show that in the early stages of transcription, when the available data is insufficient to train a robust ASR system, it is possible to take advantage of the transcription of a small number of isolated words in order to bootstrap the transcription of a speech collection.

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DO - 10.18653/v1/2020.coling-main.303

M3 - Conference Paper published in Proceedings

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SP - 3422

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BT - Proceedings of the 28th International Conference on Computational Linguistics

A2 - Scott, Donia

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Y2 - 8 December 2020 through 13 December 2020

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Enabling interactive transcription in an Indigenous community

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