ASR Language Resources for Faroese

Carlos Hernández Mena, Annika Simonsen, Jon Gudnason


Abstract
The aim of this work is to present a set of novel language resources in Faroese suitable for the field of Automatic Speech Recognition including: an ASR corpus comprised of 109 hours of transcribed speech data, acoustic models in systems such as WAV2VEC2, NVIDIA-NeMo, Kaldi and PocketSphinx; a set of n-gram language models and a set of pronunciation dictionaries with two different variants of Faroese. We also show comparison results between the distinct acoustic models presented here. All the resources exposed in this document are publicly available under creative commons licences.
Anthology ID:
2023.nodalida-1.4
Volume:
Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)
Month:
May
Year:
2023
Address:
Tórshavn, Faroe Islands
Editors:
Tanel Alumäe, Mark Fishel
Venue:
NoDaLiDa
SIG:
Publisher:
University of Tartu Library
Note:
Pages:
32–41
Language:
URL:
https://aclanthology.org/2023.nodalida-1.4
DOI:
Bibkey:
Cite (ACL):
Carlos Hernández Mena, Annika Simonsen, and Jon Gudnason. 2023. ASR Language Resources for Faroese. In Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa), pages 32–41, Tórshavn, Faroe Islands. University of Tartu Library.
Cite (Informal):
ASR Language Resources for Faroese (Hernández Mena et al., NoDaLiDa 2023)
Copy Citation:
PDF:
https://preview.aclanthology.org/emnlp22-frontmatter/2023.nodalida-1.4.pdf