@inproceedings{le-ferrand-etal-2023-application,
    title = "Application of Speech Processes for the Documentation of Kr{\'e}y{\`o}l Gwadloup{\'e}yen",
    author = "Le Ferrand, {\'E}ric  and
      Henri, Fabiola  and
      Lecouteux, Benjamin  and
      Schang, Emmanuel",
    editor = "Serikov, Oleg  and
      Voloshina, Ekaterina  and
      Postnikova, Anna  and
      Klyachko, Elena  and
      Vylomova, Ekaterina  and
      Shavrina, Tatiana  and
      Le Ferrand, Eric  and
      Malykh, Valentin  and
      Tyers, Francis  and
      Arkhangelskiy, Timofey  and
      Mikhailov, Vladislav",
    booktitle = "Proceedings of the Second Workshop on NLP Applications to Field Linguistics",
    month = may,
    year = "2023",
    address = "Dubrovnik, Croatia",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.fieldmatters-1.2",
    doi = "10.18653/v1/2023.fieldmatters-1.2",
    pages = "17--22",
    abstract = "In recent times, there has been a growing number of research studies focused on addressing the challenges posed by low-resource languages and the transcription bottleneck phenomenon. This phenomenon has driven the development of speech recognition methods to transcribe regional and Indigenous languages automatically. Although there is much talk about bridging the gap between speech technologies and field linguistics, there is a lack of documented efficient communication between NLP experts and documentary linguists. The models created for low-resource languages often remain within the confines of computer science departments, while documentary linguistics remain attached to traditional transcription workflows. This paper presents the early stage of a collaboration between NLP experts and field linguists, resulting in the successful transcription of Kr{\'e}y{\`o}l Gwadloup{\'e}yen using speech recognition technology.",
}