@inproceedings{le-ferrand-etal-2020-enabling,
    title = "Enabling Interactive Transcription in an Indigenous Community",
    author = "Le Ferrand, Eric  and
      Bird, Steven  and
      Besacier, Laurent",
    editor = "Scott, Donia  and
      Bel, Nuria  and
      Zong, Chengqing",
    booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",
    month = dec,
    year = "2020",
    address = "Barcelona, Spain (Online)",
    publisher = "International Committee on Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2020.coling-main.303/",
    doi = "10.18653/v1/2020.coling-main.303",
    pages = "3422--3428",
    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."
}