mlsanityData to 7 Oct 2026

RoDia: A New Dataset for Romanian Dialect Identification from Speech

arXiv 2309.03378 ↗First posted 6 Sep 2023cs.CL cs.SD eess.AScited by 4

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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.

Builds on

17 of 38 references.

References · 17

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  9. 2023A Review of Deep Learning Techniques for Speech Processingcited by 52
  10. 2021SwissDial: Parallel Multidialectal Corpus of Spoken Swiss Germancited by 25
  11. 2023STT4SG-350: A Speech Corpus for All Swiss German Dialect Regionscited by 18
  12. 2019MOROCO: The Moldavian and Romanian Dialectal Corpuscited by 15
5 more
  1. 2022SepTr: Separable Transformer for Audio Spectrogram Processingcited by 15
  2. 2021Finnish Dialect Identification: The Effect of Audio and Textcited by 8
  3. 2020Are you wearing a mask? Improving mask detection from speech using augmentation by cycle-consistent GANscited by 4
  4. 2022AccentSpeech: Learning Accent from Crowd-sourced Data for Target Speaker TTS with Accentscited by 4
  5. 2020The Unreasonable Effectiveness of Machine Learning in Moldavian versus Romanian Dialect Identificationcited by 1

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Citing papers per year: 2024: 2; 2025: 1; 2026: 1.

4 papers.