RoDia: A New Dataset for Romanian Dialect Identification from Speech

Codrut Rotaru, Nicolae-Catalin Ristea, Radu Tudor Ionescu
9/6/2023
cs.CLcs.SDeess.AS

Official code: codrut2/RoDia (4 stars, last commit 2023-12-15).

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.

View on arXivView PDF

Code Implementations(1)

codrut2/RoDiaOfficial100%
41Aug 31, 20232 years ago

Similar Papers

Towards spoken dialect identification of Irish

88% match2023

Yet Another Model for Arabic Dialect Identification

88% match2023

VoxArabica: A Robust Dialect-Aware Arabic Speech Recognition System

88% match2023

GRDD: A Dataset for Greek Dialectal NLP

86% match1 repo82023

MyVoice: Arabic Speech Resource Collaboration Platform

84% match2023

Saar-Voice: A Multi-Speaker Saarbrücken Dialect Speech Corpus

84% match1 repo2026

Cite this paper

@article{rotaru2023rodia,
  title  = {RoDia: A New Dataset for Romanian Dialect Identification from Speech},
  author = {Codrut Rotaru and Nicolae-Catalin Ristea and Radu Tudor Ionescu},
  year   = {2023},
  eprint = {2309.03378},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2309.03378v3}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2309.03378.svg)](https://codeofpaper.com/paper/2309.03378)

Discussion