Automatic Speech Recognition and Query By Example for Creole Languages Documentation

Cécile Macaire; Didier Schwab; Benjamin Lecouteux; Emmanuel Schang

ACL 2022findings13 citations

Automatic Speech Recognition and Query By Example for Creole Languages Documentation

Cécile Macaire, Didier Schwab, Benjamin Lecouteux, Emmanuel Schang

Abstract

We investigate the exploitation of self-supervised models for two Creole languages with few resources: Gwadloupéyen and Morisien. Automatic language processing tools are almost non-existent for these two languages. We propose to use about one hour of annotated data to design an automatic speech recognition system for each language. We evaluate how much data is needed to obtain a query-by-example system that is usable by linguists. Moreover, our experiments show that multilingual self-supervised models are not necessarily the most efficient for Creole languages.

BibTeX

@inproceedings{macaire-etal-2022-automatic,
    title = "Automatic Speech Recognition and Query By Example for Creole Languages Documentation",
    author = "Macaire, C{\'e}cile  and
      Schwab, Didier  and
      Lecouteux, Benjamin  and
      Schang, Emmanuel",
    editor = "Muresan, Smaranda  and
      Nakov, Preslav  and
      Villavicencio, Aline",
    booktitle = "Findings of the Association for Computational Linguistics: ACL 2022",
    month = may,
    year = "2022",
    address = "Dublin, Ireland",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.findings-acl.197/",
    doi = "10.18653/v1/2022.findings-acl.197",
    pages = "2512--2520"
}