RoDia: A New Dataset for Romanian Dialect Identification from Speech
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Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 17 of its 38 references that are in the map. First posted on arXiv 6 Sep 2023.
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17 of 38 references.
References · 17
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5 more
- 2022SepTr: Separable Transformer for Audio Spectrogram Processingcited by 15
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Citing papers per year: 2024: 2; 2025: 1; 2026: 1.
4 papers.
- 2024A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpuscited by 8
- 2024Speech Analysis of Language Varieties in Italycited by 3
- 2025MoRoVoc: A Large Dataset for Geographical Variation Identification of the Spoken Romanian Languagecited by 1
- 2026RALS: Resources and Baselines for Romanian Automatic Lexical Simplificationcited by 1
- 2026RALS: Resources and Baselines for Romanian Automatic Lexical Simplification22 Jul 2026
- 2025MoRoVoc: A Large Dataset for Geographical Variation Identification of the Spoken Romanian Language20 Sep 2025
- 2024Speech Analysis of Language Varieties in Italy22 Jun 2024
- 2024A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus20 May 2024