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.
Cite
@article{arxiv.2309.03378,
title = {RoDia: A New Dataset for Romanian Dialect Identification from Speech},
author = {Codrut Rotaru and Nicolae-Catalin Ristea and Radu Tudor Ionescu},
journal= {arXiv preprint arXiv:2309.03378},
year = {2024}
}