@inproceedings{mihajlik-etal-2024-spoken,
    title = "Is Spoken {H}ungarian Low-resource?: A Quantitative Survey of {H}ungarian Speech Data Sets",
    author = {Mihajlik, Peter  and
      M{\'a}dy, Katalin  and
      Koh{\'a}ri, Anna  and
      Fruzsina, Fruzsina S{\'a}ra  and
      Kiss, G{\'a}bor  and
      Gr{\'a}czi, Tekla Etelka  and
      Do{\u{g}}ru{\"o}z, A. Seza},
    editor = "Calzolari, Nicoletta  and
      Kan, Min-Yen  and
      Hoste, Veronique  and
      Lenci, Alessandro  and
      Sakti, Sakriani  and
      Xue, Nianwen",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.lrec-main.820",
    pages = "9382--9388",
    abstract = "Even though various speech data sets are available in Hungarian, there is a lack of a general overview about their types and sizes. To fill in this gap, we provide a survey of available data sets in spoken Hungarian in five categories (e.g., monolingual, Hungarian part of multilingual, pathological, child-related and dialectal collections). In total, the estimated size of available data is about 2800 hours (across 7500 speakers) and it represents a rich spoken language diversity. However, the distribution of the data and its alignment to real-life (e.g. speech recognition) tasks is far from optimal indicating the need for additional larger-scale natural language speech data sets. Our survey presents an overview of available data sets for Hungarian explaining their strengths and weaknesses which is useful for researchers working on Hungarian across disciplines. In addition, our survey serves as a starting point towards a unified foundational speech model specific to Hungarian.",
}

Even though various speech data sets are available in Hungarian, there is a lack of a general overview about their types and sizes. To fill in this gap, we provide a survey of available data sets in spoken Hungarian in five categories (e.g., monolingual, Hungarian part of multilingual, pathological, child-related and dialectal collections). In total, the estimated size of available data is about 2800 hours (across 7500 speakers) and it represents a rich spoken language diversity. However, the distribution of the data and its alignment to real-life (e.g. speech recognition) tasks is far from optimal indicating the need for additional larger-scale natural language speech data sets. Our survey presents an overview of available data sets for Hungarian explaining their strengths and weaknesses which is useful for researchers working on Hungarian across disciplines. In addition, our survey serves as a starting point towards a unified foundational speech model specific to Hungarian.
Mihajlik, Peter M{\'a}dy, Katalin Koh{\'a}ri, Anna Fruzsina, Fruzsina S{\'a}ra Kiss, G{\'a}bor Gr{\'a}czi, Tekla Etelka Do{\u{g}}ru{\"o}z, A. Seza
Is Spoken Hungarian Low-resource?: A Quantitative Survey of Hungarian Speech Data Sets