RoDia: A New Dataset for Romanian Dialect Identification from Speech
Rotaru Codruț, Nicolae Ristea, Radu Ionescu
Abstract
We introduce RoDia, the first dataset for Romanian dialect identification from speech. The RoDia dataset includes a varied compilation of speech samples from five distinct regions of Romania, covering both urban and rural environments, totaling 2 hours of manually annotated speech data. Along with our dataset, we introduce a set of competitive models to be used as baselines for future research. The top scoring model achieves a macro F1 score of 59.83% and a micro F1 score of 62.08%, indicating that the task is challenging. We thus believe that RoDia is a valuable resource that will stimulate research aiming to address the challenges of Romanian dialect identification. We release our dataset at https://github.com/codrut2/RoDia.
BibTeX
@inproceedings{codrut-etal-2024-rodia,
title = "{R}o{D}ia: A New Dataset for {R}omanian Dialect Identification from Speech",
author = "Codruț, Rotaru and
Ristea, Nicolae and
Ionescu, Radu",
editor = "Duh, Kevin and
Gomez, Helena and
Bethard, Steven",
booktitle = "Findings of the Association for Computational Linguistics: NAACL 2024",
month = jun,
year = "2024",
address = "Mexico City, Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.findings-naacl.20/",
doi = "10.18653/v1/2024.findings-naacl.20",
pages = "279--286"
}