RoDia: A New Dataset for Romanian Dialect Identification from Speech
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2023
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| _version_ | 1866910376708276224 |
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| author | Rotaru, Codrut Ristea, Nicolae-Catalin Ionescu, Radu Tudor |
| author_facet | Rotaru, Codrut Ristea, Nicolae-Catalin Ionescu, Radu Tudor |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2309_03378 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | RoDia: A New Dataset for Romanian Dialect Identification from Speech Rotaru, Codrut Ristea, Nicolae-Catalin Ionescu, Radu Tudor Computation and Language Sound Audio and Speech Processing 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. |
| title | RoDia: A New Dataset for Romanian Dialect Identification from Speech |
| topic | Computation and Language Sound Audio and Speech Processing |
| url | https://arxiv.org/abs/2309.03378 |